[{"year":"2021","related_material":{"link":[{"relation":"press_release","url":"https://ista.ac.at/en/news/spot-the-difference/"}],"record":[{"id":"10110","relation":"software","status":"public"}]},"keyword":["general medicine"],"status":"public","publication":"Nature Computational Science","project":[{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","call_identifier":"H2020"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"Z00312","name":"The Wittgenstein Prize"}],"ec_funded":1,"date_published":"2021-12-16T00:00:00Z","acknowledgement":"We thank A. Aertsen, N. Kopell, W. Maass, A. Roth, F. Stella and T. Vogels for critically reading earlier versions of the manuscript. We are grateful to F. Marr and C. Altmutter for excellent technical assistance, E. Kralli-Beller for manuscript editing, and the Scientific Service Units of IST Austria for efficient support. Finally, we thank T. Carnevale, L. Erdös, M. Hines, D. Nykamp and D. Schröder for useful discussions, and R. Friedrich and S. Wiechert for sharing unpublished data. This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 692692, P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award to P.J. and P 31815 to S.J.G.).","article_processing_charge":"No","doi":"10.1038/s43588-021-00157-1","publisher":"Springer Nature","_id":"10816","date_updated":"2023-08-10T22:30:10Z","type":"journal_article","page":"830-842","ddc":["610"],"main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/647800","open_access":"1"}],"quality_controlled":"1","month":"12","department":[{"_id":"PeJo"}],"file":[{"creator":"patrickd","embargo":"2022-06-17","date_updated":"2022-06-18T22:30:03Z","date_created":"2022-06-02T12:51:07Z","file_size":1699466,"file_id":"11430","access_level":"open_access","content_type":"application/pdf","file_name":"Guzmanetal2021.pdf","checksum":"9fec5b667909ef52be96d502e4f8c2ae","relation":"main_file"},{"relation":"supplementary_material","checksum":"52a005b13a114e3c3a28fa6bbe8b1a8d","file_name":"Guzmanetal2021Suppl.pdf","access_level":"open_access","content_type":"application/pdf","file_id":"11431","title":"Supplementary Material","file_size":3005651,"date_created":"2022-06-02T12:53:47Z","embargo":"2022-06-17","date_updated":"2022-06-18T22:30:03Z","creator":"patrickd"}],"oa":1,"language":[{"iso":"eng"}],"citation":{"chicago":"Guzmán, José, Alois Schlögl, Claudia  Espinoza Martinez, Xiaomin Zhang, Benjamin Suter, and Peter M Jonas. “How Connectivity Rules and Synaptic Properties Shape the Efficacy of Pattern Separation in the Entorhinal Cortex–Dentate Gyrus–CA3 Network.” <i>Nature Computational Science</i>. Springer Nature, 2021. <a href=\"https://doi.org/10.1038/s43588-021-00157-1\">https://doi.org/10.1038/s43588-021-00157-1</a>.","ista":"Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. 2021. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. Nature Computational Science. 1(12), 830–842.","apa":"Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., &#38; Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. <i>Nature Computational Science</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s43588-021-00157-1\">https://doi.org/10.1038/s43588-021-00157-1</a>","mla":"Guzmán, José, et al. “How Connectivity Rules and Synaptic Properties Shape the Efficacy of Pattern Separation in the Entorhinal Cortex–Dentate Gyrus–CA3 Network.” <i>Nature Computational Science</i>, vol. 1, no. 12, Springer Nature, 2021, pp. 830–42, doi:<a href=\"https://doi.org/10.1038/s43588-021-00157-1\">10.1038/s43588-021-00157-1</a>.","ama":"Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. <i>Nature Computational Science</i>. 2021;1(12):830-842. doi:<a href=\"https://doi.org/10.1038/s43588-021-00157-1\">10.1038/s43588-021-00157-1</a>","ieee":"J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, and P. M. Jonas, “How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network,” <i>Nature Computational Science</i>, vol. 1, no. 12. Springer Nature, pp. 830–842, 2021.","short":"J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, P.M. Jonas, Nature Computational Science 1 (2021) 830–842."},"issue":"12","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","day":"16","author":[{"last_name":"Guzmán","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José","first_name":"José","orcid":"0000-0003-2209-5242"},{"full_name":"Schlögl, Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","last_name":"Schlögl","orcid":"0000-0002-5621-8100","first_name":"Alois"},{"last_name":"Espinoza Martinez","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","full_name":"Espinoza Martinez, Claudia ","first_name":"Claudia ","orcid":"0000-0003-4710-2082"},{"id":"423EC9C2-F248-11E8-B48F-1D18A9856A87","full_name":"Zhang, Xiaomin","last_name":"Zhang","first_name":"Xiaomin"},{"full_name":"Suter, Benjamin","id":"4952F31E-F248-11E8-B48F-1D18A9856A87","last_name":"Suter","first_name":"Benjamin","orcid":"0000-0002-9885-6936"},{"first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas"}],"oa_version":"Submitted Version","title":"How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network","volume":1,"date_created":"2022-03-04T08:32:36Z","article_type":"original","has_accepted_license":"1","acknowledged_ssus":[{"_id":"SSU"}],"abstract":[{"lang":"eng","text":"Pattern separation is a fundamental brain computation that converts small differences in input patterns into large differences in output patterns. Several synaptic mechanisms of pattern separation have been proposed, including code expansion, inhibition and plasticity; however, which of these mechanisms play a role in the entorhinal cortex (EC)–dentate gyrus (DG)–CA3 circuit, a classical pattern separation circuit, remains unclear. Here we show that a biologically realistic, full-scale EC–DG–CA3 circuit model, including granule cells (GCs) and parvalbumin-positive inhibitory interneurons (PV+-INs) in the DG, is an efficient pattern separator. Both external gamma-modulated inhibition and internal lateral inhibition mediated by PV+-INs substantially contributed to pattern separation. Both local connectivity and fast signaling at GC–PV+-IN synapses were important for maximum effectiveness. Similarly, mossy fiber synapses with conditional detonator properties contributed to pattern separation. By contrast, perforant path synapses with Hebbian synaptic plasticity and direct EC–CA3 connection shifted the network towards pattern completion. Our results demonstrate that the specific properties of cells and synapses optimize higher-order computations in biological networks and might be useful to improve the deep learning capabilities of technical networks."}],"intvolume":"         1","file_date_updated":"2022-06-18T22:30:03Z","publication_identifier":{"issn":["2662-8457"]},"publication_status":"published"},{"type":"software","date_created":"2021-10-08T06:44:22Z","date_updated":"2024-03-25T23:30:07Z","_id":"10110","title":"How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network","publisher":"IST Austria","author":[{"first_name":"José","orcid":"0000-0003-2209-5242","last_name":"Guzmán","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José"},{"orcid":"0000-0002-5621-8100","first_name":"Alois","full_name":"Schlögl, Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","last_name":"Schlögl"},{"last_name":"Espinoza Martinez","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","full_name":"Espinoza Martinez, Claudia ","first_name":"Claudia ","orcid":"0000-0003-4710-2082"},{"last_name":"Zhang","id":"423EC9C2-F248-11E8-B48F-1D18A9856A87","full_name":"Zhang, Xiaomin","first_name":"Xiaomin"},{"first_name":"Benjamin","orcid":"0000-0002-9885-6936","last_name":"Suter","full_name":"Suter, Benjamin","id":"4952F31E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","last_name":"Jonas"}],"doi":"10.15479/AT:ISTA:10110","day":"16","file_date_updated":"2021-10-08T08:46:04Z","license":"https://opensource.org/licenses/GPL-3.0","abstract":[{"lang":"eng","text":"Pattern separation is a fundamental brain computation that converts small differences in input patterns into large differences in output patterns. Several synaptic mechanisms of pattern separation have been proposed, including code expansion, inhibition and plasticity; however, which of these mechanisms play a role in the entorhinal cortex (EC)–dentate gyrus (DG)–CA3 circuit, a classical pattern separation circuit, remains unclear. Here we show that a biologically realistic, full-scale EC–DG–CA3 circuit model, including granule cells (GCs) and parvalbumin-positive inhibitory interneurons (PV+-INs) in the DG, is an efficient pattern separator. Both external gamma-modulated inhibition and internal lateral inhibition mediated by PV+-INs substantially contributed to pattern separation. Both local connectivity and fast signaling at GC–PV+-IN synapses were important for maximum effectiveness. Similarly, mossy fiber synapses with conditional detonator properties contributed to pattern separation. By contrast, perforant path synapses with Hebbian synaptic plasticity and direct EC–CA3 connection shifted the network towards pattern completion. Our results demonstrate that the specific properties of cells and synapses optimize higher-order computations in biological networks and might be useful to improve the deep learning capabilities of technical networks."}],"tmp":{"short":"GPL 3.0","legal_code_url":"https://www.gnu.org/licenses/gpl-3.0.en.html","name":"GNU General Public License 3.0"},"ddc":["005"],"has_accepted_license":"1","file":[{"file_id":"10114","creator":"cchlebak","date_updated":"2021-10-08T08:46:04Z","date_created":"2021-10-08T08:46:04Z","file_size":332990101,"checksum":"f92f8931cad0aa7e411c1715337bf408","relation":"main_file","content_type":"application/x-zip-compressed","access_level":"open_access","file_name":"patternseparation-main (1).zip","success":1}],"department":[{"_id":"PeJo"},{"_id":"ScienComp"}],"month":"12","related_material":{"record":[{"status":"public","relation":"used_for_analysis_in","id":"10816"}],"link":[{"relation":"press_release","url":"https://ist.ac.at/en/news/spot-the-difference/","description":"News on IST Webpage"}]},"year":"2021","date_published":"2021-12-16T00:00:00Z","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","citation":{"ama":"Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. 2021. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:10110\">10.15479/AT:ISTA:10110</a>","ieee":"J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, and P. M. Jonas, “How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network.” IST Austria, 2021.","short":"J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, P.M. Jonas, (2021).","chicago":"Guzmán, José, Alois Schlögl, Claudia  Espinoza Martinez, Xiaomin Zhang, Benjamin Suter, and Peter M Jonas. “How Connectivity Rules and Synaptic Properties Shape the Efficacy of Pattern Separation in the Entorhinal Cortex–Dentate Gyrus–CA3 Network.” IST Austria, 2021. <a href=\"https://doi.org/10.15479/AT:ISTA:10110\">https://doi.org/10.15479/AT:ISTA:10110</a>.","ista":"Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. 2021. How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network, IST Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:10110\">10.15479/AT:ISTA:10110</a>.","apa":"Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., &#38; Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network. IST Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:10110\">https://doi.org/10.15479/AT:ISTA:10110</a>","mla":"Guzmán, José, et al. <i>How Connectivity Rules and Synaptic Properties Shape the Efficacy of Pattern Separation in the Entorhinal Cortex–Dentate Gyrus–CA3 Network</i>. IST Austria, 2021, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:10110\">10.15479/AT:ISTA:10110</a>."},"status":"public","oa":1},{"project":[{"grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"grant_number":"Z00312","name":"The Wittgenstein Prize","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425"}],"status":"public","publication":"Nature Communications","acknowledgement":"This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 692692) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award), both to P.J..","date_published":"2018-11-02T00:00:00Z","ec_funded":1,"external_id":{"isi":["000449069700009"]},"related_material":{"link":[{"url":"https://ist.ac.at/en/news/lateral-inhibition-keeps-similar-memories-apart/","description":"News on IST Homepage","relation":"press_release"}],"record":[{"id":"6363","relation":"dissertation_contains","status":"public"}]},"isi":1,"year":"2018","publist_id":"8034","ddc":["570"],"quality_controlled":"1","publisher":"Nature Publishing Group","doi":"10.1038/s41467-018-06899-3","article_processing_charge":"No","type":"journal_article","date_updated":"2024-03-25T23:30:16Z","_id":"21","language":[{"iso":"eng"}],"oa":1,"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","issue":"1","citation":{"ieee":"C. Espinoza Martinez, J. Guzmán, X. Zhang, and P. M. Jonas, “Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus,” <i>Nature Communications</i>, vol. 9, no. 1. Nature Publishing Group, 2018.","short":"C. Espinoza Martinez, J. Guzmán, X. Zhang, P.M. Jonas, Nature Communications 9 (2018).","ama":"Espinoza Martinez C, Guzmán J, Zhang X, Jonas PM. Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. <i>Nature Communications</i>. 2018;9(1). doi:<a href=\"https://doi.org/10.1038/s41467-018-06899-3\">10.1038/s41467-018-06899-3</a>","apa":"Espinoza Martinez, C., Guzmán, J., Zhang, X., &#38; Jonas, P. M. (2018). Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/s41467-018-06899-3\">https://doi.org/10.1038/s41467-018-06899-3</a>","mla":"Espinoza Martinez, Claudia, et al. “Parvalbumin+ Interneurons Obey Unique Connectivity Rules and Establish a Powerful Lateral-Inhibition Microcircuit in Dentate Gyrus.” <i>Nature Communications</i>, vol. 9, no. 1, 4605, Nature Publishing Group, 2018, doi:<a href=\"https://doi.org/10.1038/s41467-018-06899-3\">10.1038/s41467-018-06899-3</a>.","chicago":"Espinoza Martinez, Claudia , José Guzmán, Xiaomin Zhang, and Peter M Jonas. “Parvalbumin+ Interneurons Obey Unique Connectivity Rules and Establish a Powerful Lateral-Inhibition Microcircuit in Dentate Gyrus.” <i>Nature Communications</i>. Nature Publishing Group, 2018. <a href=\"https://doi.org/10.1038/s41467-018-06899-3\">https://doi.org/10.1038/s41467-018-06899-3</a>.","ista":"Espinoza Martinez C, Guzmán J, Zhang X, Jonas PM. 2018. Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. Nature Communications. 9(1), 4605."},"month":"11","file":[{"file_id":"5715","file_size":4651930,"date_created":"2018-12-17T15:41:57Z","creator":"dernst","date_updated":"2020-07-14T12:45:28Z","relation":"main_file","checksum":"9fe2a63bd95a5067d896c087d07998f3","file_name":"2018_NatureComm_Espinoza.pdf","access_level":"open_access","content_type":"application/pdf"}],"article_number":"4605","department":[{"_id":"PeJo"}],"abstract":[{"text":"Parvalbumin-positive (PV+) GABAergic interneurons in hippocampal microcircuits are thought to play a key role in several higher network functions, such as feedforward and feedback inhibition, network oscillations, and pattern separation. Fast lateral inhibition mediated by GABAergic interneurons may implement a winner-takes-all mechanism in the hippocampal input layer. However, it is not clear whether the functional connectivity rules of granule cells (GCs) and interneurons in the dentate gyrus are consistent with such a mechanism. Using simultaneous patch-clamp recordings from up to seven GCs and up to four PV+ interneurons in the dentate gyrus, we find that connectivity is structured in space, synapse-specific, and enriched in specific disynaptic motifs. In contrast to the neocortex, lateral inhibition in the dentate gyrus (in which a GC inhibits neighboring GCs via a PV+ interneuron) is ~ 10-times more abundant than recurrent inhibition (in which a GC inhibits itself). Thus, unique connectivity rules may enable the dentate gyrus to perform specific higher-order computations","lang":"eng"}],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"intvolume":"         9","has_accepted_license":"1","publication_status":"published","file_date_updated":"2020-07-14T12:45:28Z","oa_version":"Published Version","title":"Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus","author":[{"first_name":"Claudia ","orcid":"0000-0003-4710-2082","full_name":"Espinoza Martinez, Claudia ","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","last_name":"Espinoza Martinez"},{"first_name":"José","orcid":"0000-0003-2209-5242","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José","last_name":"Guzmán"},{"first_name":"Xiaomin","id":"423EC9C2-F248-11E8-B48F-1D18A9856A87","full_name":"Zhang, Xiaomin","last_name":"Zhang"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","first_name":"Peter M","orcid":"0000-0001-5001-4804"}],"day":"02","scopus_import":"1","article_type":"original","date_created":"2018-12-11T11:44:12Z","volume":9},{"language":[{"iso":"eng"}],"pubrep_id":"582","oa":1,"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Mishra, Rajiv Kumar, Sooyun Kim, José Guzmán, and Peter M Jonas. “Symmetric Spike Timing-Dependent Plasticity at CA3–CA3 Synapses Optimizes Storage and Recall in Autoassociative Networks.” <i>Nature Communications</i>. Nature Publishing Group, 2016. <a href=\"https://doi.org/10.1038/ncomms11552\">https://doi.org/10.1038/ncomms11552</a>.","ista":"Mishra RK, Kim S, Guzmán J, Jonas PM. 2016. Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks. Nature Communications. 7, 11552.","mla":"Mishra, Rajiv Kumar, et al. “Symmetric Spike Timing-Dependent Plasticity at CA3–CA3 Synapses Optimizes Storage and Recall in Autoassociative Networks.” <i>Nature Communications</i>, vol. 7, 11552, Nature Publishing Group, 2016, doi:<a href=\"https://doi.org/10.1038/ncomms11552\">10.1038/ncomms11552</a>.","apa":"Mishra, R. K., Kim, S., Guzmán, J., &#38; Jonas, P. M. (2016). Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/ncomms11552\">https://doi.org/10.1038/ncomms11552</a>","ama":"Mishra RK, Kim S, Guzmán J, Jonas PM. Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks. <i>Nature Communications</i>. 2016;7. doi:<a href=\"https://doi.org/10.1038/ncomms11552\">10.1038/ncomms11552</a>","short":"R.K. Mishra, S. Kim, J. Guzmán, P.M. Jonas, Nature Communications 7 (2016).","ieee":"R. K. Mishra, S. Kim, J. Guzmán, and P. M. Jonas, “Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks,” <i>Nature Communications</i>, vol. 7. Nature Publishing Group, 2016."},"month":"05","file":[{"creator":"system","date_updated":"2020-07-14T12:44:53Z","file_size":4510512,"date_created":"2018-12-12T10:18:33Z","file_id":"5355","access_level":"open_access","content_type":"application/pdf","file_name":"IST-2016-582-v1+1_ncomms11552.pdf","checksum":"7e84d0392348c874d473b62f1042de22","relation":"main_file"}],"article_number":"11552","department":[{"_id":"PeJo"}],"abstract":[{"text":"CA3–CA3 recurrent excitatory synapses are thought to play a key role in memory storage and pattern completion. Whether the plasticity properties of these synapses are consistent with their proposed network functions remains unclear. Here, we examine the properties of spike timing-dependent plasticity (STDP) at CA3–CA3 synapses. Low-frequency pairing of excitatory postsynaptic potentials (EPSPs) and action potentials (APs) induces long-term potentiation (LTP), independent of temporal order. The STDP curve is symmetric and broad (half-width ~150 ms). Consistent with these STDP induction properties, AP–EPSP sequences lead to supralinear summation of spine [Ca2+] transients. Furthermore, afterdepolarizations (ADPs) following APs efficiently propagate into dendrites of CA3 pyramidal neurons, and EPSPs summate with dendritic ADPs. In autoassociative network models, storage and recall are more robust with symmetric than with asymmetric STDP rules. Thus, a specialized STDP induction rule allows reliable storage and recall of information in the hippocampal CA3 network.","lang":"eng"}],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"intvolume":"         7","has_accepted_license":"1","file_date_updated":"2020-07-14T12:44:53Z","publication_status":"published","title":"Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in autoassociative networks","oa_version":"Published Version","day":"13","scopus_import":1,"author":[{"last_name":"Mishra","id":"46CB58F2-F248-11E8-B48F-1D18A9856A87","full_name":"Mishra, Rajiv Kumar","first_name":"Rajiv Kumar"},{"last_name":"Kim","full_name":"Kim, Sooyun","id":"394AB1C8-F248-11E8-B48F-1D18A9856A87","first_name":"Sooyun"},{"orcid":"0000-0003-2209-5242","first_name":"José","last_name":"Guzmán","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José"},{"orcid":"0000-0001-5001-4804","first_name":"Peter M","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M"}],"date_created":"2018-12-11T11:51:59Z","volume":7,"publication":"Nature Communications","status":"public","project":[{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","call_identifier":"FWF"},{"grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425"}],"acknowledgement":"We thank Jozsef Csicsvari and Nelson Spruston for critically reading the manuscript. We also thank A. Schlögl for programming, F. Marr for technical assistance and E. Kramberger for manuscript editing. ","date_published":"2016-05-13T00:00:00Z","ec_funded":1,"related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"1396"}]},"year":"2016","publist_id":"5766","ddc":["570"],"quality_controlled":"1","publisher":"Nature Publishing Group","doi":"10.1038/ncomms11552","type":"journal_article","_id":"1432","date_updated":"2023-09-07T11:55:25Z"},{"has_accepted_license":"1","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"abstract":[{"text":"ATP released from neurons and astrocytes during neuronal activity or under pathophysiological circumstances is able to influence information flow in neuronal circuits by activation of ionotropic P2X and metabotropic P2Y receptors and subsequent modulation of cellular excitability, synaptic strength, and plasticity. In the present paper we review cellular and network effects of P2Y receptors in the brain. We show that P2Y receptors inhibit the release of neurotransmitters, modulate voltage- and ligand-gated ion channels, and differentially influence the induction of synaptic plasticity in the prefrontal cortex, hippocampus, and cerebellum. The findings discussed here may explain how P2Y1 receptor activation during brain injury, hypoxia, inflammation, schizophrenia, or Alzheimer's disease leads to an impairment of cognitive processes. Hence, it is suggested that the blockade of P2Y1 receptors may have therapeutic potential against cognitive disturbances in these states.","lang":"eng"}],"intvolume":"      2016","publication_status":"published","file_date_updated":"2020-07-14T12:44:54Z","author":[{"first_name":"José","last_name":"Guzmán","full_name":"Guzmán, José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Zoltan","full_name":"Gerevich, Zoltan","last_name":"Gerevich"}],"scopus_import":1,"day":"01","oa_version":"Published Version","title":"P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction","volume":2016,"date_created":"2018-12-11T11:52:00Z","oa":1,"language":[{"iso":"eng"}],"pubrep_id":"580","citation":{"ieee":"J. Guzmán and Z. Gerevich, “P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction,” <i>Neural Plasticity</i>, vol. 2016. Hindawi Publishing Corporation, 2016.","short":"J. Guzmán, Z. Gerevich, Neural Plasticity 2016 (2016).","ama":"Guzmán J, Gerevich Z. P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction. <i>Neural Plasticity</i>. 2016;2016. doi:<a href=\"https://doi.org/10.1155/2016/1207393\">10.1155/2016/1207393</a>","apa":"Guzmán, J., &#38; Gerevich, Z. (2016). P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction. <i>Neural Plasticity</i>. Hindawi Publishing Corporation. <a href=\"https://doi.org/10.1155/2016/1207393\">https://doi.org/10.1155/2016/1207393</a>","mla":"Guzmán, José, and Zoltan Gerevich. “P2Y Receptors in Synaptic Transmission and Plasticity: Therapeutic Potential in Cognitive Dysfunction.” <i>Neural Plasticity</i>, vol. 2016, 1207393, Hindawi Publishing Corporation, 2016, doi:<a href=\"https://doi.org/10.1155/2016/1207393\">10.1155/2016/1207393</a>.","chicago":"Guzmán, José, and Zoltan Gerevich. “P2Y Receptors in Synaptic Transmission and Plasticity: Therapeutic Potential in Cognitive Dysfunction.” <i>Neural Plasticity</i>. Hindawi Publishing Corporation, 2016. <a href=\"https://doi.org/10.1155/2016/1207393\">https://doi.org/10.1155/2016/1207393</a>.","ista":"Guzmán J, Gerevich Z. 2016. P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction. Neural Plasticity. 2016, 1207393."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","month":"01","department":[{"_id":"PeJo"}],"file":[{"checksum":"8dc5c2f3d44d4775a6e7e3edb0d7a0da","relation":"main_file","content_type":"application/pdf","access_level":"open_access","file_name":"IST-2016-580-v1+1_1207393.pdf","file_id":"4740","date_updated":"2020-07-14T12:44:54Z","creator":"system","date_created":"2018-12-12T10:09:17Z","file_size":1395180}],"article_number":"1207393","ddc":["570"],"quality_controlled":"1","doi":"10.1155/2016/1207393","publisher":"Hindawi Publishing Corporation","date_updated":"2021-01-12T06:50:43Z","_id":"1435","type":"journal_article","publication":"Neural Plasticity","status":"public","date_published":"2016-01-01T00:00:00Z","year":"2016","publist_id":"5762"},{"citation":{"apa":"Guzmán, J., Schlögl, A., Frotscher, M., &#38; Jonas, P. M. (2016). Synaptic mechanisms of pattern completion in the hippocampal CA3 network. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.aaf1836\">https://doi.org/10.1126/science.aaf1836</a>","mla":"Guzmán, José, et al. “Synaptic Mechanisms of Pattern Completion in the Hippocampal CA3 Network.” <i>Science</i>, vol. 353, no. 6304, American Association for the Advancement of Science, 2016, pp. 1117–23, doi:<a href=\"https://doi.org/10.1126/science.aaf1836\">10.1126/science.aaf1836</a>.","chicago":"Guzmán, José, Alois Schlögl, Michael Frotscher, and Peter M Jonas. “Synaptic Mechanisms of Pattern Completion in the Hippocampal CA3 Network.” <i>Science</i>. American Association for the Advancement of Science, 2016. <a href=\"https://doi.org/10.1126/science.aaf1836\">https://doi.org/10.1126/science.aaf1836</a>.","ista":"Guzmán J, Schlögl A, Frotscher M, Jonas PM. 2016. Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. 353(6304), 1117–1123.","ieee":"J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms of pattern completion in the hippocampal CA3 network,” <i>Science</i>, vol. 353, no. 6304. American Association for the Advancement of Science, pp. 1117–1123, 2016.","short":"J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.","ama":"Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern completion in the hippocampal CA3 network. <i>Science</i>. 2016;353(6304):1117-1123. doi:<a href=\"https://doi.org/10.1126/science.aaf1836\">10.1126/science.aaf1836</a>"},"issue":"6304","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"language":[{"iso":"eng"}],"pubrep_id":"823","department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"file":[{"checksum":"89caefa4e181424cbf0aecc835fcc5ec","relation":"main_file","content_type":"application/pdf","access_level":"open_access","file_name":"IST-2017-823-v1+1_aaf1836_CombinedPDF_v2-1.pdf","file_id":"4945","creator":"system","date_updated":"2020-07-14T12:44:46Z","date_created":"2018-12-12T10:12:27Z","file_size":19408143}],"month":"09","file_date_updated":"2020-07-14T12:44:46Z","publication_status":"published","has_accepted_license":"1","acknowledged_ssus":[{"_id":"ScienComp"}],"abstract":[{"lang":"eng","text":"The hippocampal CA3 region plays a key role in learning and memory. Recurrent CA3–CA3\r\nsynapses are thought to be the subcellular substrate of pattern completion. However, the\r\nsynaptic mechanisms of this network computation remain enigmatic. To investigate these mechanisms, we combined functional connectivity analysis with network modeling.\r\nSimultaneous recording fromup to eight CA3 pyramidal neurons revealed that connectivity was sparse, spatially uniform, and highly enriched in disynaptic motifs (reciprocal, convergence,divergence, and chain motifs). Unitary connections were composed of one or two synaptic contacts, suggesting efficient use of postsynaptic space. Real-size modeling indicated that CA3 networks with sparse connectivity, disynaptic motifs, and single-contact connections robustly generated pattern completion.Thus, macro- and microconnectivity contribute to efficient\r\nmemory storage and retrieval in hippocampal networks."}],"intvolume":"       353","volume":353,"date_created":"2018-12-11T11:51:31Z","scopus_import":1,"day":"09","author":[{"full_name":"Guzmán, José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","last_name":"Guzmán","first_name":"José"},{"last_name":"Schlögl","full_name":"Schlögl, Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5621-8100","first_name":"Alois"},{"first_name":"Michael","last_name":"Frotscher","full_name":"Frotscher, Michael"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","first_name":"Peter M","orcid":"0000-0001-5001-4804"}],"title":"Synaptic mechanisms of pattern completion in the hippocampal CA3 network","oa_version":"Preprint","ec_funded":1,"date_published":"2016-09-09T00:00:00Z","publication":"Science","status":"public","project":[{"grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425"},{"name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24","call_identifier":"FWF","_id":"25C26B1E-B435-11E9-9278-68D0E5697425"}],"publist_id":"5899","year":"2016","quality_controlled":"1","page":"1117 - 1123","ddc":["570"],"_id":"1350","date_updated":"2021-01-12T06:50:04Z","type":"journal_article","doi":"10.1126/science.aaf1836","publisher":"American Association for the Advancement of Science"},{"date_published":"2014-02-21T00:00:00Z","status":"public","publication":"Frontiers in Neuroinformatics","publist_id":"4731","year":"2014","quality_controlled":"1","ddc":["570"],"date_updated":"2021-01-12T06:56:09Z","_id":"2230","type":"journal_article","doi":"10.3389/fninf.2014.00016","publisher":"Frontiers Research Foundation","issue":"FEB","citation":{"ama":"Guzmán J, Schlögl A, Schmidt Hieber C. Stimfit: Quantifying electrophysiological data with Python. <i>Frontiers in Neuroinformatics</i>. 2014;8(FEB). doi:<a href=\"https://doi.org/10.3389/fninf.2014.00016\">10.3389/fninf.2014.00016</a>","short":"J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8 (2014).","ieee":"J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological data with Python,” <i>Frontiers in Neuroinformatics</i>, vol. 8, no. FEB. Frontiers Research Foundation, 2014.","chicago":"Guzmán, José, Alois Schlögl, and Christoph Schmidt Hieber. “Stimfit: Quantifying Electrophysiological Data with Python.” <i>Frontiers in Neuroinformatics</i>. Frontiers Research Foundation, 2014. <a href=\"https://doi.org/10.3389/fninf.2014.00016\">https://doi.org/10.3389/fninf.2014.00016</a>.","ista":"Guzmán J, Schlögl A, Schmidt Hieber C. 2014. Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 8(FEB), 16.","mla":"Guzmán, José, et al. “Stimfit: Quantifying Electrophysiological Data with Python.” <i>Frontiers in Neuroinformatics</i>, vol. 8, no. FEB, 16, Frontiers Research Foundation, 2014, doi:<a href=\"https://doi.org/10.3389/fninf.2014.00016\">10.3389/fninf.2014.00016</a>.","apa":"Guzmán, J., Schlögl, A., &#38; Schmidt Hieber, C. (2014). Stimfit: Quantifying electrophysiological data with Python. <i>Frontiers in Neuroinformatics</i>. Frontiers Research Foundation. <a href=\"https://doi.org/10.3389/fninf.2014.00016\">https://doi.org/10.3389/fninf.2014.00016</a>"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"pubrep_id":"425","language":[{"iso":"eng"}],"department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"file":[{"file_size":2883372,"date_created":"2018-12-12T10:12:17Z","date_updated":"2020-07-14T12:45:34Z","creator":"system","file_id":"4935","file_name":"IST-2016-425-v1+1_fninf-08-00016.pdf","content_type":"application/pdf","access_level":"open_access","relation":"main_file","checksum":"eeca00bba7232ff7d27db83321f6ea30"}],"article_number":"16","month":"02","publication_identifier":{"issn":["16625196"]},"publication_status":"published","file_date_updated":"2020-07-14T12:45:34Z","has_accepted_license":"1","intvolume":"         8","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"abstract":[{"text":"Intracellular electrophysiological recordings provide crucial insights into elementary neuronal signals such as action potentials and synaptic currents. Analyzing and interpreting these signals is essential for a quantitative understanding of neuronal information processing, and requires both fast data visualization and ready access to complex analysis routines. To achieve this goal, we have developed Stimfit, a free software package for cellular neurophysiology with a Python scripting interface and a built-in Python shell. The program supports most standard file formats for cellular neurophysiology and other biomedical signals through the Biosig library. To quantify and interpret the activity of single neurons and communication between neurons, the program includes algorithms to characterize the kinetics of presynaptic action potentials and postsynaptic currents, estimate latencies between pre- and postsynaptic events, and detect spontaneously occurring events. We validate and benchmark these algorithms, give estimation errors, and provide sample use cases, showing that Stimfit represents an efficient, accessible and extensible way to accurately analyze and interpret neuronal signals.","lang":"eng"}],"volume":8,"date_created":"2018-12-11T11:56:27Z","author":[{"first_name":"José","last_name":"Guzmán","full_name":"Guzmán, José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Alois","orcid":"0000-0002-5621-8100","last_name":"Schlögl","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","full_name":"Schlögl, Alois"},{"full_name":"Schmidt Hieber, Christoph","last_name":"Schmidt Hieber","first_name":"Christoph"}],"scopus_import":1,"day":"21","title":"Stimfit: Quantifying electrophysiological data with Python","oa_version":"Published Version"},{"article_type":"original","date_created":"2018-12-11T12:02:18Z","volume":15,"oa_version":"Published Version","title":"Active dendrites support efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons","author":[{"last_name":"Kim","id":"394AB1C8-F248-11E8-B48F-1D18A9856A87","full_name":"Kim, Sooyun","first_name":"Sooyun"},{"orcid":"0000-0003-2209-5242","first_name":"José","last_name":"Guzmán","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José"},{"first_name":"Hua","last_name":"Hu","full_name":"Hu, Hua","id":"4AC0145C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-5001-4804","first_name":"Peter M","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas"}],"scopus_import":"1","day":"01","publication_identifier":{"issn":["1546-1726"]},"publication_status":"published","intvolume":"        15","abstract":[{"text":"CA3 pyramidal neurons are important for memory formation and pattern completion in the hippocampal network. It is generally thought that proximal synapses from the mossy fibers activate these neurons most efficiently, whereas distal inputs from the perforant path have a weaker modulatory influence. We used confocally targeted patch-clamp recording from dendrites and axons to map the activation of rat CA3 pyramidal neurons at the subcellular level. Our results reveal two distinct dendritic domains. In the proximal domain, action potentials initiated in the axon backpropagate actively with large amplitude and fast time course. In the distal domain, Na+ channel–mediated dendritic spikes are efficiently initiated by waveforms mimicking synaptic events. CA3 pyramidal neuron dendrites showed a high Na+-to-K+ conductance density ratio, providing ideal conditions for active backpropagation and dendritic spike initiation. Dendritic spikes may enhance the computational power of CA3 pyramidal neurons in the hippocampal network.","lang":"eng"}],"department":[{"_id":"PeJo"}],"month":"04","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","issue":"4","citation":{"apa":"Kim, S., Guzmán, J., Hu, H., &#38; Jonas, P. M. (2012). Active dendrites support efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn.3060\">https://doi.org/10.1038/nn.3060</a>","mla":"Kim, Sooyun, et al. “Active Dendrites Support Efficient Initiation of Dendritic Spikes in Hippocampal CA3 Pyramidal Neurons.” <i>Nature Neuroscience</i>, vol. 15, no. 4, Nature Publishing Group, 2012, pp. 600–06, doi:<a href=\"https://doi.org/10.1038/nn.3060\">10.1038/nn.3060</a>.","chicago":"Kim, Sooyun, José Guzmán, Hua Hu, and Peter M Jonas. “Active Dendrites Support Efficient Initiation of Dendritic Spikes in Hippocampal CA3 Pyramidal Neurons.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2012. <a href=\"https://doi.org/10.1038/nn.3060\">https://doi.org/10.1038/nn.3060</a>.","ista":"Kim S, Guzmán J, Hu H, Jonas PM. 2012. Active dendrites support efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons. Nature Neuroscience. 15(4), 600–606.","ieee":"S. Kim, J. Guzmán, H. Hu, and P. M. Jonas, “Active dendrites support efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons,” <i>Nature Neuroscience</i>, vol. 15, no. 4. Nature Publishing Group, pp. 600–606, 2012.","short":"S. Kim, J. Guzmán, H. Hu, P.M. Jonas, Nature Neuroscience 15 (2012) 600–606.","ama":"Kim S, Guzmán J, Hu H, Jonas PM. Active dendrites support efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons. <i>Nature Neuroscience</i>. 2012;15(4):600-606. doi:<a href=\"https://doi.org/10.1038/nn.3060\">10.1038/nn.3060</a>"},"language":[{"iso":"eng"}],"oa":1,"type":"journal_article","date_updated":"2023-09-07T11:43:52Z","_id":"3258","publisher":"Nature Publishing Group","doi":"10.1038/nn.3060","article_processing_charge":"No","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617474/"}],"page":"600 - 606","publist_id":"3390","external_id":{"pmid":["22388958"]},"related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"2964"}]},"year":"2012","acknowledgement":"This work was supported by the Deutsche Forschungsgemeinschaft (TR 3/B10) and the European Union (European Research Council Advanced grant to P.J.).","date_published":"2012-04-01T00:00:00Z","pmid":1,"project":[{"grant_number":"SFB-TR3-TP10B","name":"Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen","_id":"25BDE9A4-B435-11E9-9278-68D0E5697425"}],"status":"public","publication":"Nature Neuroscience"},{"publication_status":"published","quality_controlled":"1","page":"406 - 415","intvolume":"        59","abstract":[{"lang":"eng","text":"Long-term depression (LTD) is a form of synaptic plasticity that may contribute to information storage in the central nervous system. Here we report that LTD can be elicited in layer 5 pyramidal neurons of the rat prefrontal cortex by pairing low frequency stimulation with a modest postsynaptic depolarization. The induction of LTD required the activation of both metabotropic glutamate receptors of the mGlu1 subtype and voltage-sensitive Ca(2+) channels (VSCCs) of the T/R, P/Q and N types, leading to the stimulation of intracellular inositol trisphosphate (IP3) receptors by IP3 and Ca(2+). The subsequent release of Ca(2+) from intracellular stores activated the protein phosphatase cascade involving calcineurin and protein phosphatase 1. The activation of purinergic P2Y(1) receptors blocked LTD. This effect was prevented by P2Y(1) receptor antagonists and was absent in mice lacking P2Y(1) but not P2Y(2) receptors. We also found that activation of P2Y(1) receptors inhibits Ca(2+) transients via VSCCs in the apical dendrites and spines of pyramidal neurons. In addition, we show that the release of ATP under hypoxia is able to inhibit LTD by acting on postsynaptic P2Y(1) receptors. In conclusion, these data suggest that the reduction of Ca(2+) influx via VSCCs caused by the activation of P2Y(1) receptors by ATP is the possible mechanism for the inhibition of LTD in prefrontal cortex."}],"volume":59,"_id":"3718","date_updated":"2021-01-12T07:51:42Z","date_created":"2018-12-11T12:04:47Z","type":"journal_article","scopus_import":1,"day":"01","doi":"10.1016/j.neuropharm.2010.05.013","author":[{"full_name":"Guzmán, José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","last_name":"Guzmán","first_name":"José"},{"last_name":"Schmidt","full_name":"Schmidt, Hartmut","first_name":"Hartmut"},{"first_name":"Heike","full_name":"Franke, Heike","last_name":"Franke"},{"last_name":"Krügel","full_name":"Krügel, Ute","first_name":"Ute"},{"full_name":"Eilers, Jens","last_name":"Eilers","first_name":"Jens"},{"first_name":"Peter","last_name":"Illes","full_name":"Illes, Peter"},{"last_name":"Gerevich","full_name":"Gerevich, Zoltan","first_name":"Zoltan"}],"oa_version":"None","title":"P2Y1 receptors inhibit long-term depression in the prefrontal cortex.","publisher":"Elsevier","citation":{"chicago":"Guzmán, José, Hartmut Schmidt, Heike Franke, Ute Krügel, Jens Eilers, Peter Illes, and Zoltan Gerevich. “P2Y1 Receptors Inhibit Long-Term Depression in the Prefrontal Cortex.” <i>Neuropharmacology</i>. Elsevier, 2010. <a href=\"https://doi.org/10.1016/j.neuropharm.2010.05.013\">https://doi.org/10.1016/j.neuropharm.2010.05.013</a>.","ista":"Guzmán J, Schmidt H, Franke H, Krügel U, Eilers J, Illes P, Gerevich Z. 2010. P2Y1 receptors inhibit long-term depression in the prefrontal cortex. Neuropharmacology. 59(6), 406–415.","mla":"Guzmán, José, et al. “P2Y1 Receptors Inhibit Long-Term Depression in the Prefrontal Cortex.” <i>Neuropharmacology</i>, vol. 59, no. 6, Elsevier, 2010, pp. 406–15, doi:<a href=\"https://doi.org/10.1016/j.neuropharm.2010.05.013\">10.1016/j.neuropharm.2010.05.013</a>.","apa":"Guzmán, J., Schmidt, H., Franke, H., Krügel, U., Eilers, J., Illes, P., &#38; Gerevich, Z. (2010). P2Y1 receptors inhibit long-term depression in the prefrontal cortex. <i>Neuropharmacology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuropharm.2010.05.013\">https://doi.org/10.1016/j.neuropharm.2010.05.013</a>","ama":"Guzmán J, Schmidt H, Franke H, et al. P2Y1 receptors inhibit long-term depression in the prefrontal cortex. <i>Neuropharmacology</i>. 2010;59(6):406-415. doi:<a href=\"https://doi.org/10.1016/j.neuropharm.2010.05.013\">10.1016/j.neuropharm.2010.05.013</a>","short":"J. Guzmán, H. Schmidt, H. Franke, U. Krügel, J. Eilers, P. Illes, Z. Gerevich, Neuropharmacology 59 (2010) 406–415.","ieee":"J. Guzmán <i>et al.</i>, “P2Y1 receptors inhibit long-term depression in the prefrontal cortex.,” <i>Neuropharmacology</i>, vol. 59, no. 6. Elsevier, pp. 406–415, 2010."},"issue":"6","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":" The financial support of the Deutsche Forschungsgemeinschaft (IL 20/12-1, KI 677/2-4) is gratefully acknowledged.\r\nWe thank B. H. Koller (Department of Genetics and Molecular Biology, University of North Carolina at Chapel Hill, NC, USA) for the generous supply of P2Y1−/− and P2Y2−/− mice. We are grateful to Dr. A. Schulz for reanalysing the genotype of the P2Y1−/− mice. The authors thank P. Jonas and U. Heinemann for many helpful comments and A-K. Krause, L Feige and M. Eberts for their excellent technical support.","date_published":"2010-11-01T00:00:00Z","language":[{"iso":"eng"}],"publication":"Neuropharmacology","status":"public","department":[{"_id":"PeJo"}],"publist_id":"2512","year":"2010","month":"11"},{"publication_status":"published","intvolume":"        66","abstract":[{"text":"A recent paper by von Engelhardt et al. identifies a novel auxiliary subunit of native AMPARs, termedCKAMP44. Unlike other auxiliary subunits, CKAMP44 accelerates desensitization and prolongs recovery from desensitization. CKAMP44 is highly expressed in hippocampal dentate gyrus granule cells and decreases the paired-pulse ratio at perforant path input synapses. Thus, both principal and auxiliary AMPAR subunits control the time course of signaling at glutamatergic synapses.","lang":"eng"}],"date_created":"2018-12-11T12:05:25Z","volume":66,"title":"Beyond TARPs: The growing list of auxiliary AMPAR subunits","oa_version":"Published Version","author":[{"id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José","last_name":"Guzmán","first_name":"José"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","first_name":"Peter M","orcid":"0000-0001-5001-4804"}],"day":"15","scopus_import":1,"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","issue":"1","citation":{"ieee":"J. Guzmán and P. M. Jonas, “Beyond TARPs: The growing list of auxiliary AMPAR subunits,” <i>Neuron</i>, vol. 66, no. 1. Elsevier, pp. 8–10, 2010.","short":"J. Guzmán, P.M. Jonas, Neuron 66 (2010) 8–10.","ama":"Guzmán J, Jonas PM. Beyond TARPs: The growing list of auxiliary AMPAR subunits. <i>Neuron</i>. 2010;66(1):8-10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2010.04.003\">10.1016/j.neuron.2010.04.003</a>","apa":"Guzmán, J., &#38; Jonas, P. M. (2010). Beyond TARPs: The growing list of auxiliary AMPAR subunits. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2010.04.003\">https://doi.org/10.1016/j.neuron.2010.04.003</a>","mla":"Guzmán, José, and Peter M. Jonas. “Beyond TARPs: The Growing List of Auxiliary AMPAR Subunits.” <i>Neuron</i>, vol. 66, no. 1, Elsevier, 2010, pp. 8–10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2010.04.003\">10.1016/j.neuron.2010.04.003</a>.","ista":"Guzmán J, Jonas PM. 2010. Beyond TARPs: The growing list of auxiliary AMPAR subunits. Neuron. 66(1), 8–10.","chicago":"Guzmán, José, and Peter M Jonas. “Beyond TARPs: The Growing List of Auxiliary AMPAR Subunits.” <i>Neuron</i>. Elsevier, 2010. <a href=\"https://doi.org/10.1016/j.neuron.2010.04.003\">https://doi.org/10.1016/j.neuron.2010.04.003</a>."},"language":[{"iso":"eng"}],"oa":1,"department":[{"_id":"PeJo"}],"month":"04","quality_controlled":"1","main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pubmed/20399724","open_access":"1"}],"page":"8 - 10","type":"journal_article","date_updated":"2021-01-12T07:52:31Z","_id":"3832","publisher":"Elsevier","doi":"10.1016/j.neuron.2010.04.003","article_processing_charge":"No","date_published":"2010-04-15T00:00:00Z","pmid":1,"status":"public","publication":"Neuron","publist_id":"2377","external_id":{"pmid":["20399724"]},"year":"2010"},{"publisher":"Wiley","title":"P2Y1 receptors inhibit both strength and plasticity of glutamatergic synaptic neurotransmission in the rat prefrontal cortex.","oa_version":"None","article_processing_charge":"No","day":"01","doi":"10.1002/syn.20177","author":[{"first_name":"José","last_name":"Guzmán","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José"},{"first_name":"Zoltan","full_name":"Gerevich, Zoltan","last_name":"Gerevich"},{"full_name":"Hengstler, Jan","last_name":"Hengstler","first_name":"Jan"},{"last_name":"Illes","full_name":"Illes, Peter","first_name":"Peter"},{"last_name":"Kleemann","full_name":"Kleemann, Werner","first_name":"Werner"}],"date_created":"2018-12-11T12:04:48Z","type":"journal_article","volume":57,"_id":"3720","date_updated":"2021-01-12T07:51:43Z","intvolume":"        57","page":"235 - 238","publication_status":"published","month":"01","year":"2005","publist_id":"2510","extern":"1","language":[{"iso":"eng"}],"publication":"Synapse","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2005-01-01T00:00:00Z","citation":{"chicago":"Guzmán, José, Zoltan Gerevich, Jan Hengstler, Peter Illes, and Werner Kleemann. “P2Y1 Receptors Inhibit Both Strength and Plasticity of Glutamatergic Synaptic Neurotransmission in the Rat Prefrontal Cortex.” <i>Synapse</i>. Wiley, 2005. <a href=\"https://doi.org/10.1002/syn.20177\">https://doi.org/10.1002/syn.20177</a>.","ista":"Guzmán J, Gerevich Z, Hengstler J, Illes P, Kleemann W. 2005. P2Y1 receptors inhibit both strength and plasticity of glutamatergic synaptic neurotransmission in the rat prefrontal cortex. Synapse. 57(4), 235–238.","apa":"Guzmán, J., Gerevich, Z., Hengstler, J., Illes, P., &#38; Kleemann, W. (2005). P2Y1 receptors inhibit both strength and plasticity of glutamatergic synaptic neurotransmission in the rat prefrontal cortex. <i>Synapse</i>. Wiley. <a href=\"https://doi.org/10.1002/syn.20177\">https://doi.org/10.1002/syn.20177</a>","mla":"Guzmán, José, et al. “P2Y1 Receptors Inhibit Both Strength and Plasticity of Glutamatergic Synaptic Neurotransmission in the Rat Prefrontal Cortex.” <i>Synapse</i>, vol. 57, no. 4, Wiley, 2005, pp. 235–38, doi:<a href=\"https://doi.org/10.1002/syn.20177\">10.1002/syn.20177</a>.","ama":"Guzmán J, Gerevich Z, Hengstler J, Illes P, Kleemann W. P2Y1 receptors inhibit both strength and plasticity of glutamatergic synaptic neurotransmission in the rat prefrontal cortex. <i>Synapse</i>. 2005;57(4):235-238. doi:<a href=\"https://doi.org/10.1002/syn.20177\">10.1002/syn.20177</a>","ieee":"J. Guzmán, Z. Gerevich, J. Hengstler, P. Illes, and W. Kleemann, “P2Y1 receptors inhibit both strength and plasticity of glutamatergic synaptic neurotransmission in the rat prefrontal cortex.,” <i>Synapse</i>, vol. 57, no. 4. Wiley, pp. 235–238, 2005.","short":"J. Guzmán, Z. Gerevich, J. Hengstler, P. Illes, W. Kleemann, Synapse 57 (2005) 235–238."},"issue":"4"}]