--- _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L. Erdös, M. Hines, D. Nykamp and D. Schröder for useful discussions, and R. Friedrich and S. Wiechert for sharing unpublished data.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' ddc: - '610' department: - _id: PeJo doi: 10.1038/s43588-021-00157-1 ec_funded: 1 file: - access_level: open_access checksum: 9fec5b667909ef52be96d502e4f8c2ae content_type: application/pdf creator: patrickd date_created: 2022-06-02T12:51:07Z date_updated: 2022-06-18T22:30:03Z embargo: 2022-06-17 file_id: '11430' file_name: Guzmanetal2021.pdf file_size: 1699466 relation: main_file - access_level: open_access checksum: 52a005b13a114e3c3a28fa6bbe8b1a8d content_type: application/pdf creator: patrickd date_created: 2022-06-02T12:53:47Z date_updated: 2022-06-18T22:30:03Z embargo: 2022-06-17 file_id: '11431' file_name: Guzmanetal2021Suppl.pdf file_size: 3005651 relation: supplementary_material title: Supplementary Material file_date_updated: 2022-06-18T22:30:03Z has_accepted_license: '1' intvolume: ' 1' issue: '12' keyword: - general medicine language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/10.1101/647800 month: '12' oa: 1 oa_version: Submitted Version page: 830-842 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 Computational Science publication_identifier: issn: - 2662-8457 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: press_release url: https://ista.ac.at/en/news/spot-the-difference/ record: - id: '10110' relation: software status: public scopus_import: '1' status: public 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: 2024-03-27T23:30:11Z day: '16' ddc: - '005' department: - _id: PeJo - _id: ScienComp doi: 10.15479/AT:ISTA:10110 file: - access_level: open_access checksum: f92f8931cad0aa7e411c1715337bf408 content_type: application/x-zip-compressed creator: cchlebak date_created: 2021-10-08T08:46:04Z date_updated: 2021-10-08T08:46:04Z file_id: '10114' file_name: patternseparation-main (1).zip file_size: 332990101 relation: main_file success: 1 file_date_updated: 2021-10-08T08:46:04Z has_accepted_license: '1' license: https://opensource.org/licenses/GPL-3.0 month: '12' oa: 1 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: - id: '10816' 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: '6363' abstract: - lang: eng text: "Distinguishing between similar experiences is achieved by the brain \ in a process called pattern separation. In the hippocampus, pattern \ separation reduces the interference of memories and increases the storage capacity by decorrelating similar inputs patterns of neuronal activity into \ non-overlapping output firing patterns. Winners-take-all (WTA) mechanism \ is a theoretical model for pattern separation in which a \"winner\" \ cell suppresses the activity of the neighboring neurons through feedback inhibition. However, if the network properties of the dentate gyrus support WTA as a biologically conceivable model remains unknown. Here, we showed that the connectivity rules of PV+interneurons and their synaptic properties are optimizedfor efficient pattern separation. We found using multiple whole-cell in vitrorecordings that PV+interneurons mainly connect to granule cells (GC) through lateral inhibition, a form of feedback inhibition in which a GC inhibits other GCs but not \ itself through the activation of PV+interneurons. Thus, lateral inhibition between GC–PV+interneurons was ~10 times more abundant than recurrent connections. Furthermore, the GC–PV+interneuron connectivity was more spatially confined \ but less abundant than PV+interneurons–GC connectivity, leading to an \ asymmetrical distribution of excitatory and inhibitory connectivity. Our network model of the dentate gyrus with incorporated real connectivity rules efficiently decorrelates neuronal activity patterns using WTA as the primary mechanism. \ This process relied on lateral inhibition, fast-signaling properties of \ PV+interneurons and the asymmetrical distribution of excitatory and inhibitory connectivity. Finally, we found that silencing the activity of PV+interneurons in vivoleads to acute deficits in discrimination between similar environments, suggesting that PV+interneuron networks are necessary for behavioral relevant computations. Our results demonstrate that PV+interneurons possess unique connectivity and fast signaling properties that confer to the dentate \ gyrus network properties that allow the emergence of pattern separation. Thus, our results contribute to the knowledge of how specific forms of network organization underlie sophisticated types of information processing. \r\n" alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: 'Claudia ' full_name: 'Espinoza Martinez, Claudia ' id: 31FFEE2E-F248-11E8-B48F-1D18A9856A87 last_name: Espinoza Martinez orcid: 0000-0003-4710-2082 citation: ama: Espinoza Martinez C. Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. 2019. doi:10.15479/AT:ISTA:6363 apa: Espinoza Martinez, C. (2019). Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6363 chicago: Espinoza Martinez, Claudia . “Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits.” Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6363. ieee: C. Espinoza Martinez, “Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits,” Institute of Science and Technology Austria, 2019. ista: Espinoza Martinez C. 2019. Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. Institute of Science and Technology Austria. mla: Espinoza Martinez, Claudia. Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6363. short: C. Espinoza Martinez, Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits, Institute of Science and Technology Austria, 2019. date_created: 2019-04-30T11:56:10Z date_published: 2019-04-30T00:00:00Z date_updated: 2023-09-15T12:03:48Z day: '30' ddc: - '570' degree_awarded: PhD department: - _id: PeJo doi: 10.15479/AT:ISTA:6363 file: - access_level: open_access checksum: 77c6c05cfe8b58c8abcf1b854375d084 content_type: application/pdf creator: cespinoza date_created: 2019-05-07T16:00:39Z date_updated: 2021-02-11T11:17:15Z embargo: 2020-05-09 file_id: '6389' file_name: Espinozathesis_all2.pdf file_size: 13966891 relation: main_file - access_level: closed checksum: f6aa819f127691a2b0fc21c76eb09746 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: cespinoza date_created: 2019-05-07T16:00:48Z date_updated: 2020-07-14T12:47:28Z embargo_to: open_access file_id: '6390' file_name: Espinoza_Thesis.docx file_size: 11159900 relation: source_file file_date_updated: 2021-02-11T11:17:15Z has_accepted_license: '1' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: '140' publication_identifier: isbn: - 978-3-99078-000-8 issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '21' relation: part_of_dissertation status: public status: public supervisor: - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 title: Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2019' ... --- _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: 2024-03-27T23:30:31Z day: '02' ddc: - '570' department: - _id: PeJo doi: 10.1038/s41467-018-06899-3 ec_funded: 1 external_id: isi: - '000449069700009' file: - access_level: open_access checksum: 9fe2a63bd95a5067d896c087d07998f3 content_type: application/pdf creator: dernst date_created: 2018-12-17T15:41:57Z date_updated: 2020-07-14T12:45:28Z file_id: '5715' file_name: 2018_NatureComm_Espinoza.pdf file_size: 4651930 relation: main_file file_date_updated: 2020-07-14T12:45:28Z has_accepted_license: '1' intvolume: ' 9' isi: 1 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: '1845' abstract: - lang: eng text: Based on extrapolation from excitatory synapses, it is often assumed that depletion of the releasable pool of synaptic vesicles is the main factor underlying depression at inhibitory synapses. In this issue of Neuron, using subcellular patch-clamp recording from inhibitory presynaptic terminals, Kawaguchi and Sakaba (2015) show that at Purkinje cell-deep cerebellar nuclei neuron synapses, changes in presynaptic action potential waveform substantially contribute to synaptic depression. Based on extrapolation from excitatory synapses, it is often assumed that depletion of the releasable pool of synaptic vesicles is the main factor underlying depression at inhibitory synapses. In this issue of Neuron, using subcellular patch-clamp recording from inhibitory presynaptic terminals, Kawaguchi and Sakaba (2015) show that at Purkinje cell-deep cerebellar nuclei neuron synapses, changes in presynaptic action potential waveform substantially contribute to synaptic depression. article_processing_charge: No author: - first_name: David H full_name: Vandael, David H id: 3AE48E0A-F248-11E8-B48F-1D18A9856A87 last_name: Vandael orcid: 0000-0001-7577-1676 - 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: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 citation: ama: Vandael DH, Espinoza Martinez C, Jonas PM. Excitement about inhibitory presynaptic terminals. Neuron. 2015;85(6):1149-1151. doi:10.1016/j.neuron.2015.03.006 apa: Vandael, D. H., Espinoza Martinez, C., & Jonas, P. M. (2015). Excitement about inhibitory presynaptic terminals. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2015.03.006 chicago: Vandael, David H, Claudia Espinoza Martinez, and Peter M Jonas. “Excitement about Inhibitory Presynaptic Terminals.” Neuron. Elsevier, 2015. https://doi.org/10.1016/j.neuron.2015.03.006. ieee: D. H. Vandael, C. Espinoza Martinez, and P. M. Jonas, “Excitement about inhibitory presynaptic terminals,” Neuron, vol. 85, no. 6. Elsevier, pp. 1149–1151, 2015. ista: Vandael DH, Espinoza Martinez C, Jonas PM. 2015. Excitement about inhibitory presynaptic terminals. Neuron. 85(6), 1149–1151. mla: Vandael, David H., et al. “Excitement about Inhibitory Presynaptic Terminals.” Neuron, vol. 85, no. 6, Elsevier, 2015, pp. 1149–51, doi:10.1016/j.neuron.2015.03.006. short: D.H. Vandael, C. Espinoza Martinez, P.M. Jonas, Neuron 85 (2015) 1149–1151. date_created: 2018-12-11T11:54:19Z date_published: 2015-03-18T00:00:00Z date_updated: 2021-10-08T09:07:34Z day: '18' ddc: - '570' department: - _id: PeJo doi: 10.1016/j.neuron.2015.03.006 file: - access_level: open_access checksum: d1808550e376a0eca2a950fda017cfa6 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:07Z date_updated: 2020-07-14T12:45:19Z file_id: '5192' file_name: IST-2017-822-v1+1_Perspective_Fig__Final.pdf file_size: 411832 relation: main_file - access_level: open_access checksum: a279f4ae61e6c8f33d68f69a0d02097d content_type: application/pdf creator: system date_created: 2018-12-12T10:16:07Z date_updated: 2020-07-14T12:45:19Z file_id: '5193' file_name: IST-2017-822-v1+2_Perspective_Final2.pdf file_size: 100769 relation: main_file file_date_updated: 2020-07-14T12:45:19Z has_accepted_license: '1' intvolume: ' 85' issue: '6' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 1149 - 1151 publication: Neuron publication_status: published publisher: Elsevier publist_id: '5256' pubrep_id: '822' quality_controlled: '1' scopus_import: '1' status: public title: Excitement about inhibitory presynaptic terminals tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: journal_article user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 volume: 85 year: '2015' ...