{"pmid":1,"publisher":"Elsevier","article_type":"original","year":"2017","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"day":"27","date_published":"2017-09-27T00:00:00Z","license":"https://creativecommons.org/licenses/by/4.0/","intvolume":"        96","file":[{"date_updated":"2020-07-14T12:48:08Z","creator":"cziletti","file_id":"8103","checksum":"49fbca2821066c0965bd5678b32b6b48","date_created":"2020-07-09T09:42:49Z","relation":"main_file","file_name":"2017_Neuron_Costa.pdf","access_level":"open_access","file_size":7140149,"content_type":"application/pdf"}],"language":[{"iso":"eng"}],"title":"Synaptic transmission optimization predicts expression loci of long-term plasticity","quality_controlled":"1","issue":"1","oa_version":"Published Version","article_processing_charge":"No","citation":{"apa":"Costa, R. P., Padamsey, Z., D’Amour, J. A., Emptage, N. J., Froemke, R. C., &#38; Vogels, T. P. (2017). Synaptic transmission optimization predicts expression loci of long-term plasticity. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">https://doi.org/10.1016/j.neuron.2017.09.021</a>","ista":"Costa RP, Padamsey Z, D’Amour JA, Emptage NJ, Froemke RC, Vogels TP. 2017. Synaptic transmission optimization predicts expression loci of long-term plasticity. Neuron. 96(1), 177–189.e7.","chicago":"Costa, Rui Ponte, Zahid Padamsey, James A. D’Amour, Nigel J. Emptage, Robert C. Froemke, and Tim P Vogels. “Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.” <i>Neuron</i>. Elsevier, 2017. <a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">https://doi.org/10.1016/j.neuron.2017.09.021</a>.","ieee":"R. P. Costa, Z. Padamsey, J. A. D’Amour, N. J. Emptage, R. C. Froemke, and T. P. Vogels, “Synaptic transmission optimization predicts expression loci of long-term plasticity,” <i>Neuron</i>, vol. 96, no. 1. Elsevier, p. 177–189.e7, 2017.","mla":"Costa, Rui Ponte, et al. “Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.” <i>Neuron</i>, vol. 96, no. 1, Elsevier, 2017, p. 177–189.e7, doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">10.1016/j.neuron.2017.09.021</a>.","ama":"Costa RP, Padamsey Z, D’Amour JA, Emptage NJ, Froemke RC, Vogels TP. Synaptic transmission optimization predicts expression loci of long-term plasticity. <i>Neuron</i>. 2017;96(1):177-189.e7. doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">10.1016/j.neuron.2017.09.021</a>","short":"R.P. Costa, Z. Padamsey, J.A. D’Amour, N.J. Emptage, R.C. Froemke, T.P. Vogels, Neuron 96 (2017) 177–189.e7."},"date_created":"2020-06-25T12:54:46Z","month":"09","page":"177-189.e7","status":"public","external_id":{"pmid":["28957667"]},"ddc":["570"],"user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","file_date_updated":"2020-07-14T12:48:08Z","oa":1,"volume":96,"date_updated":"2021-01-12T08:16:32Z","type":"journal_article","has_accepted_license":"1","extern":"1","publication_identifier":{"issn":["0896-6273"]},"doi":"10.1016/j.neuron.2017.09.021","author":[{"first_name":"Rui Ponte","full_name":"Costa, Rui Ponte","last_name":"Costa"},{"last_name":"Padamsey","full_name":"Padamsey, Zahid","first_name":"Zahid"},{"first_name":"James A.","full_name":"D’Amour, James A.","last_name":"D’Amour"},{"last_name":"Emptage","first_name":"Nigel J.","full_name":"Emptage, Nigel J."},{"full_name":"Froemke, Robert C.","first_name":"Robert C.","last_name":"Froemke"},{"id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","last_name":"Vogels","orcid":"0000-0003-3295-6181","first_name":"Tim P","full_name":"Vogels, Tim P"}],"_id":"8016","publication_status":"published","publication":"Neuron","abstract":[{"text":"Long-term modifications of neuronal connections are critical for reliable memory storage in the brain. However, their locus of expression—pre- or postsynaptic—is highly variable. Here we introduce a theoretical framework in which long-term plasticity performs an optimization of the postsynaptic response statistics toward a given mean with minimal variance. Consequently, the state of the synapse at the time of plasticity induction determines the ratio of pre- and postsynaptic modifications. Our theory explains the experimentally observed expression loci of the hippocampal and neocortical synaptic potentiation studies we examined. Moreover, the theory predicts presynaptic expression of long-term depression, consistent with experimental observations. At inhibitory synapses, the theory suggests a statistically efficient excitatory-inhibitory balance in which changes in inhibitory postsynaptic response statistics specifically target the mean excitation. Our results provide a unifying theory for understanding the expression mechanisms and functions of long-term synaptic transmission plasticity.","lang":"eng"}]}