---
_id: '10816'
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.
acknowledged_ssus:
- _id: SSU
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for useful discussions, and R. Friedrich and S. Wiechert for sharing unpublished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
article_type: original
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: 'Claudia '
full_name: 'Espinoza Martinez, Claudia '
id: 31FFEE2E-F248-11E8-B48F-1D18A9856A87
last_name: Espinoza Martinez
orcid: 0000-0003-4710-2082
- first_name: Xiaomin
full_name: Zhang, Xiaomin
id: 423EC9C2-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
- first_name: Benjamin
full_name: Suter, Benjamin
id: 4952F31E-F248-11E8-B48F-1D18A9856A87
last_name: Suter
orcid: 0000-0002-9885-6936
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
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. Nature Computational Science.
2021;1(12):830-842. doi:10.1038/s43588-021-00157-1
apa: Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., &
Jonas, P. M. (2021). How connectivity rules and synaptic properties shape the
efficacy of pattern separation in the entorhinal cortex–dentate gyrus–CA3 network.
Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-021-00157-1
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.” Nature Computational Science. Springer Nature, 2021. https://doi.org/10.1038/s43588-021-00157-1.
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,” Nature Computational
Science, vol. 1, no. 12. Springer Nature, pp. 830–842, 2021.
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.
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.” Nature Computational Science, vol. 1, no. 12, Springer Nature,
2021, pp. 830–42, doi:10.1038/s43588-021-00157-1.
short: J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, P.M. Jonas,
Nature Computational Science 1 (2021) 830–842.
date_created: 2022-03-04T08:32:36Z
date_published: 2021-12-16T00:00:00Z
date_updated: 2023-08-10T22:30:10Z
day: '16'
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department:
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doi: 10.1038/s43588-021-00157-1
ec_funded: 1
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call_identifier: H2020
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name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
publication: Nature Computational Science
publication_identifier:
issn:
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related_material:
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relation: software
status: public
scopus_import: '1'
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title: How connectivity rules and synaptic properties shape the efficacy of pattern
separation in the entorhinal cortex–dentate gyrus–CA3 network
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1
year: '2021'
...
---
_id: '10110'
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.
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: 'Claudia '
full_name: 'Espinoza Martinez, Claudia '
id: 31FFEE2E-F248-11E8-B48F-1D18A9856A87
last_name: Espinoza Martinez
orcid: 0000-0003-4710-2082
- first_name: Xiaomin
full_name: Zhang, Xiaomin
id: 423EC9C2-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
- first_name: Benjamin
full_name: Suter, Benjamin
id: 4952F31E-F248-11E8-B48F-1D18A9856A87
last_name: Suter
orcid: 0000-0002-9885-6936
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
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:10.15479/AT:ISTA:10110
apa: Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., &
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. https://doi.org/10.15479/AT:ISTA:10110
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. https://doi.org/10.15479/AT:ISTA:10110.
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.
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, 10.15479/AT:ISTA:10110.
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. IST Austria, 2021, doi:10.15479/AT:ISTA:10110.
short: J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, P.M. Jonas,
(2021).
date_created: 2021-10-08T06:44:22Z
date_published: 2021-12-16T00:00:00Z
date_updated: 2024-03-25T23:30:07Z
day: '16'
ddc:
- '005'
department:
- _id: PeJo
- _id: ScienComp
doi: 10.15479/AT:ISTA:10110
file:
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creator: cchlebak
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file_size: 332990101
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publisher: IST Austria
related_material:
link:
- description: News on IST Webpage
relation: press_release
url: https://ist.ac.at/en/news/spot-the-difference/
record:
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relation: used_for_analysis_in
status: public
status: public
title: How connectivity rules and synaptic properties shape the efficacy of pattern
separation in the entorhinal cortex–dentate gyrus–CA3 network
tmp:
legal_code_url: https://www.gnu.org/licenses/gpl-3.0.en.html
name: GNU General Public License 3.0
short: GPL 3.0
type: software
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...
---
_id: '21'
abstract:
- lang: eng
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
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..
article_number: '4605'
article_processing_charge: No
article_type: original
author:
- first_name: 'Claudia '
full_name: 'Espinoza Martinez, Claudia '
id: 31FFEE2E-F248-11E8-B48F-1D18A9856A87
last_name: Espinoza Martinez
orcid: 0000-0003-4710-2082
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Xiaomin
full_name: Zhang, Xiaomin
id: 423EC9C2-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
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. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-06899-3
apa: Espinoza Martinez, C., Guzmán, J., Zhang, X., & Jonas, P. M. (2018). Parvalbumin+
interneurons obey unique connectivity rules and establish a powerful lateral-inhibition
microcircuit in dentate gyrus. Nature Communications. Nature Publishing
Group. https://doi.org/10.1038/s41467-018-06899-3
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.” Nature Communications.
Nature Publishing Group, 2018. https://doi.org/10.1038/s41467-018-06899-3.
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,” Nature Communications, vol. 9, no. 1. Nature
Publishing Group, 2018.
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.
mla: Espinoza Martinez, Claudia, et al. “Parvalbumin+ Interneurons Obey Unique Connectivity
Rules and Establish a Powerful Lateral-Inhibition Microcircuit in Dentate Gyrus.”
Nature Communications, vol. 9, no. 1, 4605, Nature Publishing Group, 2018,
doi:10.1038/s41467-018-06899-3.
short: C. Espinoza Martinez, J. Guzmán, X. Zhang, P.M. Jonas, Nature Communications
9 (2018).
date_created: 2018-12-11T11:44:12Z
date_published: 2018-11-02T00:00:00Z
date_updated: 2024-03-25T23:30:16Z
day: '02'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.1038/s41467-018-06899-3
ec_funded: 1
external_id:
isi:
- '000449069700009'
file:
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checksum: 9fe2a63bd95a5067d896c087d07998f3
content_type: application/pdf
creator: dernst
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date_updated: 2020-07-14T12:45:28Z
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file_name: 2018_NatureComm_Espinoza.pdf
file_size: 4651930
relation: main_file
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has_accepted_license: '1'
intvolume: ' 9'
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issue: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '8034'
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/lateral-inhibition-keeps-similar-memories-apart/
record:
- id: '6363'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful
lateral-inhibition microcircuit in dentate gyrus
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 9
year: '2018'
...
---
_id: '1432'
abstract:
- lang: eng
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.
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. '
article_number: '11552'
author:
- first_name: Rajiv Kumar
full_name: Mishra, Rajiv Kumar
id: 46CB58F2-F248-11E8-B48F-1D18A9856A87
last_name: Mishra
- first_name: Sooyun
full_name: Kim, Sooyun
id: 394AB1C8-F248-11E8-B48F-1D18A9856A87
last_name: Kim
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
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.
Nature Communications. 2016;7. doi:10.1038/ncomms11552
apa: Mishra, R. K., Kim, S., Guzmán, J., & Jonas, P. M. (2016). Symmetric spike
timing-dependent plasticity at CA3–CA3 synapses optimizes storage and recall in
autoassociative networks. Nature Communications. Nature Publishing Group.
https://doi.org/10.1038/ncomms11552
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.” Nature Communications. Nature Publishing
Group, 2016. https://doi.org/10.1038/ncomms11552.
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,” Nature Communications, vol. 7. Nature Publishing Group, 2016.
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.” Nature
Communications, vol. 7, 11552, Nature Publishing Group, 2016, doi:10.1038/ncomms11552.
short: R.K. Mishra, S. Kim, J. Guzmán, P.M. Jonas, Nature Communications 7 (2016).
date_created: 2018-12-11T11:51:59Z
date_published: 2016-05-13T00:00:00Z
date_updated: 2023-09-07T11:55:25Z
day: '13'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.1038/ncomms11552
ec_funded: 1
file:
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checksum: 7e84d0392348c874d473b62f1042de22
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:33Z
date_updated: 2020-07-14T12:44:53Z
file_id: '5355'
file_name: IST-2016-582-v1+1_ncomms11552.pdf
file_size: 4510512
relation: main_file
file_date_updated: 2020-07-14T12:44:53Z
has_accepted_license: '1'
intvolume: ' 7'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25C26B1E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P24909-B24
name: Mechanisms of transmitter release at GABAergic synapses
- _id: 25C0F108-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '268548'
name: Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '5766'
pubrep_id: '582'
quality_controlled: '1'
related_material:
record:
- id: '1396'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Symmetric spike timing-dependent plasticity at CA3–CA3 synapses optimizes storage
and recall in autoassociative networks
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2016'
...
---
_id: '1435'
abstract:
- lang: eng
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.
article_number: '1207393'
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
- first_name: Zoltan
full_name: Gerevich, Zoltan
last_name: Gerevich
citation:
ama: 'Guzmán J, Gerevich Z. P2Y receptors in synaptic transmission and plasticity:
Therapeutic potential in cognitive dysfunction. Neural Plasticity. 2016;2016.
doi:10.1155/2016/1207393'
apa: 'Guzmán, J., & Gerevich, Z. (2016). P2Y receptors in synaptic transmission
and plasticity: Therapeutic potential in cognitive dysfunction. Neural Plasticity.
Hindawi Publishing Corporation. https://doi.org/10.1155/2016/1207393'
chicago: 'Guzmán, José, and Zoltan Gerevich. “P2Y Receptors in Synaptic Transmission
and Plasticity: Therapeutic Potential in Cognitive Dysfunction.” Neural Plasticity.
Hindawi Publishing Corporation, 2016. https://doi.org/10.1155/2016/1207393.'
ieee: 'J. Guzmán and Z. Gerevich, “P2Y receptors in synaptic transmission and plasticity:
Therapeutic potential in cognitive dysfunction,” Neural Plasticity, vol.
2016. Hindawi Publishing Corporation, 2016.'
ista: 'Guzmán J, Gerevich Z. 2016. P2Y receptors in synaptic transmission and plasticity:
Therapeutic potential in cognitive dysfunction. Neural Plasticity. 2016, 1207393.'
mla: 'Guzmán, José, and Zoltan Gerevich. “P2Y Receptors in Synaptic Transmission
and Plasticity: Therapeutic Potential in Cognitive Dysfunction.” Neural Plasticity,
vol. 2016, 1207393, Hindawi Publishing Corporation, 2016, doi:10.1155/2016/1207393.'
short: J. Guzmán, Z. Gerevich, Neural Plasticity 2016 (2016).
date_created: 2018-12-11T11:52:00Z
date_published: 2016-01-01T00:00:00Z
date_updated: 2021-01-12T06:50:43Z
day: '01'
ddc:
- '570'
department:
- _id: PeJo
doi: 10.1155/2016/1207393
file:
- access_level: open_access
checksum: 8dc5c2f3d44d4775a6e7e3edb0d7a0da
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:17Z
date_updated: 2020-07-14T12:44:54Z
file_id: '4740'
file_name: IST-2016-580-v1+1_1207393.pdf
file_size: 1395180
relation: main_file
file_date_updated: 2020-07-14T12:44:54Z
has_accepted_license: '1'
intvolume: ' 2016'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: Neural Plasticity
publication_status: published
publisher: Hindawi Publishing Corporation
publist_id: '5762'
pubrep_id: '580'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'P2Y receptors in synaptic transmission and plasticity: Therapeutic potential
in cognitive dysfunction'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 2016
year: '2016'
...
---
_id: '1350'
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."
acknowledged_ssus:
- _id: ScienComp
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Michael
full_name: Frotscher, Michael
last_name: Frotscher
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern
completion in the hippocampal CA3 network. Science. 2016;353(6304):1117-1123.
doi:10.1126/science.aaf1836
apa: Guzmán, J., Schlögl, A., Frotscher, M., & Jonas, P. M. (2016). Synaptic
mechanisms of pattern completion in the hippocampal CA3 network. Science.
American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf1836
chicago: Guzmán, José, Alois Schlögl, Michael Frotscher, and Peter M Jonas. “Synaptic
Mechanisms of Pattern Completion in the Hippocampal CA3 Network.” Science.
American Association for the Advancement of Science, 2016. https://doi.org/10.1126/science.aaf1836.
ieee: J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms
of pattern completion in the hippocampal CA3 network,” Science, vol. 353,
no. 6304. American Association for the Advancement of Science, pp. 1117–1123,
2016.
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.
mla: Guzmán, José, et al. “Synaptic Mechanisms of Pattern Completion in the Hippocampal
CA3 Network.” Science, vol. 353, no. 6304, American Association for the
Advancement of Science, 2016, pp. 1117–23, doi:10.1126/science.aaf1836.
short: J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.
date_created: 2018-12-11T11:51:31Z
date_published: 2016-09-09T00:00:00Z
date_updated: 2021-01-12T06:50:04Z
day: '09'
ddc:
- '570'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.1126/science.aaf1836
ec_funded: 1
file:
- access_level: open_access
checksum: 89caefa4e181424cbf0aecc835fcc5ec
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:27Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4945'
file_name: IST-2017-823-v1+1_aaf1836_CombinedPDF_v2-1.pdf
file_size: 19408143
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 353'
issue: '6304'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Preprint
page: 1117 - 1123
project:
- _id: 25C0F108-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '268548'
name: Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons
- _id: 25C26B1E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P24909-B24
name: Mechanisms of transmitter release at GABAergic synapses
publication: Science
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '5899'
pubrep_id: '823'
quality_controlled: '1'
scopus_import: 1
status: public
title: Synaptic mechanisms of pattern completion in the hippocampal CA3 network
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 353
year: '2016'
...
---
_id: '2230'
abstract:
- lang: eng
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.
article_number: '16'
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Christoph
full_name: Schmidt Hieber, Christoph
last_name: Schmidt Hieber
citation:
ama: 'Guzmán J, Schlögl A, Schmidt Hieber C. Stimfit: Quantifying electrophysiological
data with Python. Frontiers in Neuroinformatics. 2014;8(FEB). doi:10.3389/fninf.2014.00016'
apa: 'Guzmán, J., Schlögl, A., & Schmidt Hieber, C. (2014). Stimfit: Quantifying
electrophysiological data with Python. Frontiers in Neuroinformatics. Frontiers
Research Foundation. https://doi.org/10.3389/fninf.2014.00016'
chicago: 'Guzmán, José, Alois Schlögl, and Christoph Schmidt Hieber. “Stimfit: Quantifying
Electrophysiological Data with Python.” Frontiers in Neuroinformatics.
Frontiers Research Foundation, 2014. https://doi.org/10.3389/fninf.2014.00016.'
ieee: 'J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological
data with Python,” Frontiers in Neuroinformatics, vol. 8, no. FEB. Frontiers
Research Foundation, 2014.'
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.” Frontiers in Neuroinformatics, vol. 8, no. FEB, 16, Frontiers
Research Foundation, 2014, doi:10.3389/fninf.2014.00016.'
short: J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8
(2014).
date_created: 2018-12-11T11:56:27Z
date_published: 2014-02-21T00:00:00Z
date_updated: 2021-01-12T06:56:09Z
day: '21'
ddc:
- '570'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.3389/fninf.2014.00016
file:
- access_level: open_access
checksum: eeca00bba7232ff7d27db83321f6ea30
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:17Z
date_updated: 2020-07-14T12:45:34Z
file_id: '4935'
file_name: IST-2016-425-v1+1_fninf-08-00016.pdf
file_size: 2883372
relation: main_file
file_date_updated: 2020-07-14T12:45:34Z
has_accepted_license: '1'
intvolume: ' 8'
issue: FEB
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
publication: Frontiers in Neuroinformatics
publication_identifier:
issn:
- '16625196'
publication_status: published
publisher: Frontiers Research Foundation
publist_id: '4731'
pubrep_id: '425'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Stimfit: Quantifying electrophysiological data with Python'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2014'
...
---
_id: '3258'
abstract:
- lang: eng
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.
acknowledgement: This work was supported by the Deutsche Forschungsgemeinschaft (TR
3/B10) and the European Union (European Research Council Advanced grant to P.J.).
article_processing_charge: No
article_type: original
author:
- first_name: Sooyun
full_name: Kim, Sooyun
id: 394AB1C8-F248-11E8-B48F-1D18A9856A87
last_name: Kim
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Hua
full_name: Hu, Hua
id: 4AC0145C-F248-11E8-B48F-1D18A9856A87
last_name: Hu
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Kim S, Guzmán J, Hu H, Jonas PM. Active dendrites support efficient initiation
of dendritic spikes in hippocampal CA3 pyramidal neurons. Nature Neuroscience.
2012;15(4):600-606. doi:10.1038/nn.3060
apa: Kim, S., Guzmán, J., Hu, H., & Jonas, P. M. (2012). Active dendrites support
efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons.
Nature Neuroscience. Nature Publishing Group. https://doi.org/10.1038/nn.3060
chicago: Kim, Sooyun, José Guzmán, Hua Hu, and Peter M Jonas. “Active Dendrites
Support Efficient Initiation of Dendritic Spikes in Hippocampal CA3 Pyramidal
Neurons.” Nature Neuroscience. Nature Publishing Group, 2012. https://doi.org/10.1038/nn.3060.
ieee: S. Kim, J. Guzmán, H. Hu, and P. M. Jonas, “Active dendrites support efficient
initiation of dendritic spikes in hippocampal CA3 pyramidal neurons,” Nature
Neuroscience, vol. 15, no. 4. Nature Publishing Group, pp. 600–606, 2012.
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.
mla: Kim, Sooyun, et al. “Active Dendrites Support Efficient Initiation of Dendritic
Spikes in Hippocampal CA3 Pyramidal Neurons.” Nature Neuroscience, vol.
15, no. 4, Nature Publishing Group, 2012, pp. 600–06, doi:10.1038/nn.3060.
short: S. Kim, J. Guzmán, H. Hu, P.M. Jonas, Nature Neuroscience 15 (2012) 600–606.
date_created: 2018-12-11T12:02:18Z
date_published: 2012-04-01T00:00:00Z
date_updated: 2023-09-07T11:43:52Z
day: '01'
department:
- _id: PeJo
doi: 10.1038/nn.3060
external_id:
pmid:
- '22388958'
intvolume: ' 15'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617474/
month: '04'
oa: 1
oa_version: Published Version
page: 600 - 606
pmid: 1
project:
- _id: 25BDE9A4-B435-11E9-9278-68D0E5697425
grant_number: SFB-TR3-TP10B
name: Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen
publication: Nature Neuroscience
publication_identifier:
issn:
- 1546-1726
publication_status: published
publisher: Nature Publishing Group
publist_id: '3390'
quality_controlled: '1'
related_material:
record:
- id: '2964'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Active dendrites support efficient initiation of dendritic spikes in hippocampal
CA3 pyramidal neurons
type: journal_article
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 15
year: '2012'
...
---
_id: '3718'
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.
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."
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
- first_name: Hartmut
full_name: Schmidt, Hartmut
last_name: Schmidt
- first_name: Heike
full_name: Franke, Heike
last_name: Franke
- first_name: Ute
full_name: Krügel, Ute
last_name: Krügel
- first_name: Jens
full_name: Eilers, Jens
last_name: Eilers
- first_name: Peter
full_name: Illes, Peter
last_name: Illes
- first_name: Zoltan
full_name: Gerevich, Zoltan
last_name: Gerevich
citation:
ama: Guzmán J, Schmidt H, Franke H, et al. P2Y1 receptors inhibit long-term depression
in the prefrontal cortex. Neuropharmacology. 2010;59(6):406-415. doi:10.1016/j.neuropharm.2010.05.013
apa: 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. Elsevier. https://doi.org/10.1016/j.neuropharm.2010.05.013
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.” Neuropharmacology. Elsevier, 2010. https://doi.org/10.1016/j.neuropharm.2010.05.013.
ieee: J. Guzmán et al., “P2Y1 receptors inhibit long-term depression in the
prefrontal cortex.,” Neuropharmacology, vol. 59, no. 6. Elsevier, pp. 406–415,
2010.
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.” Neuropharmacology, vol. 59, no. 6, Elsevier, 2010, pp. 406–15,
doi:10.1016/j.neuropharm.2010.05.013.
short: J. Guzmán, H. Schmidt, H. Franke, U. Krügel, J. Eilers, P. Illes, Z. Gerevich,
Neuropharmacology 59 (2010) 406–415.
date_created: 2018-12-11T12:04:47Z
date_published: 2010-11-01T00:00:00Z
date_updated: 2021-01-12T07:51:42Z
day: '01'
department:
- _id: PeJo
doi: 10.1016/j.neuropharm.2010.05.013
intvolume: ' 59'
issue: '6'
language:
- iso: eng
month: '11'
oa_version: None
page: 406 - 415
publication: Neuropharmacology
publication_status: published
publisher: Elsevier
publist_id: '2512'
quality_controlled: '1'
scopus_import: 1
status: public
title: P2Y1 receptors inhibit long-term depression in the prefrontal cortex.
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 59
year: '2010'
...
---
_id: '3832'
abstract:
- lang: eng
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.
article_processing_charge: No
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: 'Guzmán J, Jonas PM. Beyond TARPs: The growing list of auxiliary AMPAR subunits.
Neuron. 2010;66(1):8-10. doi:10.1016/j.neuron.2010.04.003'
apa: 'Guzmán, J., & Jonas, P. M. (2010). Beyond TARPs: The growing list of auxiliary
AMPAR subunits. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2010.04.003'
chicago: 'Guzmán, José, and Peter M Jonas. “Beyond TARPs: The Growing List of Auxiliary
AMPAR Subunits.” Neuron. Elsevier, 2010. https://doi.org/10.1016/j.neuron.2010.04.003.'
ieee: 'J. Guzmán and P. M. Jonas, “Beyond TARPs: The growing list of auxiliary AMPAR
subunits,” Neuron, vol. 66, no. 1. Elsevier, pp. 8–10, 2010.'
ista: 'Guzmán J, Jonas PM. 2010. Beyond TARPs: The growing list of auxiliary AMPAR
subunits. Neuron. 66(1), 8–10.'
mla: 'Guzmán, José, and Peter M. Jonas. “Beyond TARPs: The Growing List of Auxiliary
AMPAR Subunits.” Neuron, vol. 66, no. 1, Elsevier, 2010, pp. 8–10, doi:10.1016/j.neuron.2010.04.003.'
short: J. Guzmán, P.M. Jonas, Neuron 66 (2010) 8–10.
date_created: 2018-12-11T12:05:25Z
date_published: 2010-04-15T00:00:00Z
date_updated: 2021-01-12T07:52:31Z
day: '15'
department:
- _id: PeJo
doi: 10.1016/j.neuron.2010.04.003
external_id:
pmid:
- '20399724'
intvolume: ' 66'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pubmed/20399724
month: '04'
oa: 1
oa_version: Published Version
page: 8 - 10
pmid: 1
publication: Neuron
publication_status: published
publisher: Elsevier
publist_id: '2377'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Beyond TARPs: The growing list of auxiliary AMPAR subunits'
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 66
year: '2010'
...
---
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article_processing_charge: No
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
- first_name: Zoltan
full_name: Gerevich, Zoltan
last_name: Gerevich
- first_name: Jan
full_name: Hengstler, Jan
last_name: Hengstler
- first_name: Peter
full_name: Illes, Peter
last_name: Illes
- first_name: Werner
full_name: Kleemann, Werner
last_name: Kleemann
citation:
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. Synapse. 2005;57(4):235-238. doi:10.1002/syn.20177
apa: 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. Wiley. https://doi.org/10.1002/syn.20177
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.” Synapse. Wiley, 2005.
https://doi.org/10.1002/syn.20177.
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.,” Synapse, vol. 57, no. 4. Wiley, pp. 235–238,
2005.
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.
mla: Guzmán, José, et al. “P2Y1 Receptors Inhibit Both Strength and Plasticity of
Glutamatergic Synaptic Neurotransmission in the Rat Prefrontal Cortex.” Synapse,
vol. 57, no. 4, Wiley, 2005, pp. 235–38, doi:10.1002/syn.20177.
short: J. Guzmán, Z. Gerevich, J. Hengstler, P. Illes, W. Kleemann, Synapse 57 (2005)
235–238.
date_created: 2018-12-11T12:04:48Z
date_published: 2005-01-01T00:00:00Z
date_updated: 2021-01-12T07:51:43Z
day: '01'
doi: 10.1002/syn.20177
extern: '1'
intvolume: ' 57'
issue: '4'
language:
- iso: eng
month: '01'
oa_version: None
page: 235 - 238
publication: Synapse
publication_status: published
publisher: Wiley
publist_id: '2510'
status: public
title: P2Y1 receptors inhibit both strength and plasticity of glutamatergic synaptic
neurotransmission in the rat prefrontal cortex.
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 57
year: '2005'
...