[{"oa":1,"publisher":"eLife Sciences Publications","quality_controlled":"1","year":"2019","has_accepted_license":"1","isi":1,"publication":"eLife","day":"31","date_created":"2020-01-30T09:08:01Z","doi":"10.7554/elife.44494","date_published":"2019-05-31T00:00:00Z","article_number":"e44494","citation":{"mla":"Dura-Bernal, Salvador, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling of Brain Circuits.” ELife, vol. 8, e44494, eLife Sciences Publications, 2019, doi:10.7554/elife.44494.","apa":"Dura-Bernal, S., Suter, B., Gleeson, P., Cantarelli, M., Quintana, A., Rodriguez, F., … Lytton, W. W. (2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.44494","ama":"Dura-Bernal S, Suter B, Gleeson P, et al. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 2019;8. doi:10.7554/elife.44494","short":"S. Dura-Bernal, B. Suter, P. Gleeson, M. Cantarelli, A. Quintana, F. Rodriguez, D.J. Kedziora, G.L. Chadderdon, C.C. Kerr, S.A. Neymotin, R.A. McDougal, M. Hines, G.M. Shepherd, W.W. Lytton, ELife 8 (2019).","ieee":"S. Dura-Bernal et al., “NetPyNE, a tool for data-driven multiscale modeling of brain circuits,” eLife, vol. 8. eLife Sciences Publications, 2019.","chicago":"Dura-Bernal, Salvador, Benjamin Suter, Padraig Gleeson, Matteo Cantarelli, Adrian Quintana, Facundo Rodriguez, David J Kedziora, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling of Brain Circuits.” ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/elife.44494.","ista":"Dura-Bernal S, Suter B, Gleeson P, Cantarelli M, Quintana A, Rodriguez F, Kedziora DJ, Chadderdon GL, Kerr CC, Neymotin SA, McDougal RA, Hines M, Shepherd GM, Lytton WW. 2019. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 8, e44494."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","article_processing_charge":"No","external_id":{"isi":["000468968400001"],"pmid":["31025934"]},"author":[{"full_name":"Dura-Bernal, Salvador","last_name":"Dura-Bernal","first_name":"Salvador"},{"id":"4952F31E-F248-11E8-B48F-1D18A9856A87","first_name":"Benjamin","last_name":"Suter","full_name":"Suter, Benjamin","orcid":"0000-0002-9885-6936"},{"first_name":"Padraig","last_name":"Gleeson","full_name":"Gleeson, Padraig"},{"first_name":"Matteo","full_name":"Cantarelli, Matteo","last_name":"Cantarelli"},{"first_name":"Adrian","full_name":"Quintana, Adrian","last_name":"Quintana"},{"first_name":"Facundo","last_name":"Rodriguez","full_name":"Rodriguez, Facundo"},{"first_name":"David J","last_name":"Kedziora","full_name":"Kedziora, David J"},{"last_name":"Chadderdon","full_name":"Chadderdon, George L","first_name":"George L"},{"first_name":"Cliff C","full_name":"Kerr, Cliff C","last_name":"Kerr"},{"last_name":"Neymotin","full_name":"Neymotin, Samuel A","first_name":"Samuel A"},{"first_name":"Robert A","last_name":"McDougal","full_name":"McDougal, Robert A"},{"full_name":"Hines, Michael","last_name":"Hines","first_name":"Michael"},{"full_name":"Shepherd, Gordon MG","last_name":"Shepherd","first_name":"Gordon MG"},{"full_name":"Lytton, William W","last_name":"Lytton","first_name":"William W"}],"title":"NetPyNE, a tool for data-driven multiscale modeling of brain circuits","abstract":[{"text":"Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE tool (www.netpyne.org) provides both programmatic and graphical interfaces to develop data-driven multiscale network models in NEURON. NetPyNE clearly separates model parameters from implementation code. Users provide specifications at a high level via a standardized declarative language, for example connectivity rules, to create millions of cell-to-cell connections. NetPyNE then enables users to generate the NEURON network, run efficiently parallelized simulations, optimize and explore network parameters through automated batch runs, and use built-in functions for visualization and analysis – connectivity matrices, voltage traces, spike raster plots, local field potentials, and information theoretic measures. NetPyNE also facilitates model sharing by exporting and importing standardized formats (NeuroML and SONATA). NetPyNE is already being used to teach computational neuroscience students and by modelers to investigate brain regions and phenomena.","lang":"eng"}],"pmid":1,"oa_version":"Published Version","scopus_import":"1","intvolume":" 8","month":"05","publication_status":"published","publication_identifier":{"issn":["2050-084X"]},"language":[{"iso":"eng"}],"file":[{"file_size":6182359,"date_updated":"2020-07-14T12:47:57Z","creator":"dernst","file_name":"2019_eLife_DuraBernal.pdf","date_created":"2020-02-04T08:41:47Z","content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_id":"7444","checksum":"7014189c11c10a12feeeae37f054871d"}],"volume":8,"_id":"7405","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","status":"public","date_updated":"2023-09-07T14:27:52Z","ddc":["570"],"file_date_updated":"2020-07-14T12:47:57Z","department":[{"_id":"PeJo"}]},{"related_material":{"record":[{"relation":"dissertation_contains","id":"11196","status":"public"}]},"issue":"Suppl. 1","volume":7,"ec_funded":1,"language":[{"iso":"eng"}],"publication_identifier":{"issn":["2309-8503"]},"publication_status":"published","month":"09","intvolume":" 7","main_file_link":[{"open_access":"1","url":"https://www.intrinsicactivity.org/2019/7/S1/A3.27/"}],"oa_version":"Published Version","department":[{"_id":"PeJo"}],"date_updated":"2024-03-27T23:30:07Z","status":"public","keyword":["hippocampus","mossy fibers","readily releasable pool","electron microscopy"],"type":"conference_abstract","conference":{"name":"ANA: Austrian Neuroscience Association ; APHAR: Austrian Pharmacological Society","start_date":"2019-09-25","end_date":"2019-09-27","location":"Innsbruck, Austria"},"_id":"11222","date_published":"2019-09-11T00:00:00Z","doi":"10.25006/ia.7.s1-a3.27","date_created":"2022-04-20T15:06:05Z","day":"11","publication":"Intrinsic Activity","year":"2019","publisher":"Austrian Pharmacological Society","quality_controlled":"1","oa":1,"acknowledgement":"This work was supported by the ERC and EU Horizon 2020 (ERC 692692; MSC-IF 708497) and FWF Z 312-B27 Wittgenstein award; W 1205-B09).","title":"Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy","author":[{"last_name":"Kim","full_name":"Kim, Olena","id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","first_name":"Olena"},{"last_name":"Borges Merjane","full_name":"Borges Merjane, Carolina","orcid":"0000-0003-0005-401X","id":"4305C450-F248-11E8-B48F-1D18A9856A87","first_name":"Carolina"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas"}],"article_processing_charge":"No","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","citation":{"short":"O. Kim, C. Borges Merjane, P.M. Jonas, in:, Intrinsic Activity, Austrian Pharmacological Society, 2019.","ieee":"O. Kim, C. Borges Merjane, and P. M. Jonas, “Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy,” in Intrinsic Activity, Innsbruck, Austria, 2019, vol. 7, no. Suppl. 1.","ama":"Kim O, Borges Merjane C, Jonas PM. Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy. In: Intrinsic Activity. Vol 7. Austrian Pharmacological Society; 2019. doi:10.25006/ia.7.s1-a3.27","apa":"Kim, O., Borges Merjane, C., & Jonas, P. M. (2019). Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy. In Intrinsic Activity (Vol. 7). Innsbruck, Austria: Austrian Pharmacological Society. https://doi.org/10.25006/ia.7.s1-a3.27","mla":"Kim, Olena, et al. “Functional Analysis of the Docked Vesicle Pool in Hippocampal Mossy Fiber Terminals by Electron Microscopy.” Intrinsic Activity, vol. 7, no. Suppl. 1, A3.27, Austrian Pharmacological Society, 2019, doi:10.25006/ia.7.s1-a3.27.","ista":"Kim O, Borges Merjane C, Jonas PM. 2019. Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy. Intrinsic Activity. ANA: Austrian Neuroscience Association ; APHAR: Austrian Pharmacological Society vol. 7, A3.27.","chicago":"Kim, Olena, Carolina Borges Merjane, and Peter M Jonas. “Functional Analysis of the Docked Vesicle Pool in Hippocampal Mossy Fiber Terminals by Electron Microscopy.” In Intrinsic Activity, Vol. 7. Austrian Pharmacological Society, 2019. https://doi.org/10.25006/ia.7.s1-a3.27."},"project":[{"grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"_id":"25BAF7B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Presynaptic calcium channels distribution and impact on coupling at the hippocampal mossy fiber synapse","grant_number":"708497"},{"_id":"25C3DBB6-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Zellkommunikation in Gesundheit und Krankheit","grant_number":"W01205"},{"grant_number":"Z00312","name":"The Wittgenstein Prize","_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"article_number":"A3.27"},{"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"ista":"Espinoza Martinez C. 2019. Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. Institute of Science and Technology Austria.","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.","short":"C. Espinoza Martinez, Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits, Institute of Science and Technology Austria, 2019.","ieee":"C. Espinoza Martinez, “Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits,” Institute of Science and Technology Austria, 2019.","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","ama":"Espinoza Martinez C. Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. 2019. doi:10.15479/AT:ISTA:6363","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."},"title":"Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits","article_processing_charge":"No","author":[{"first_name":"Claudia ","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4710-2082","full_name":"Espinoza Martinez, Claudia ","last_name":"Espinoza Martinez"}],"day":"30","year":"2019","has_accepted_license":"1","date_created":"2019-04-30T11:56:10Z","date_published":"2019-04-30T00:00:00Z","doi":"10.15479/AT:ISTA:6363","page":"140","oa":1,"publisher":"Institute of Science and Technology Austria","ddc":["570"],"date_updated":"2023-09-15T12:03:48Z","supervisor":[{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M"}],"file_date_updated":"2021-02-11T11:17:15Z","department":[{"_id":"PeJo"}],"_id":"6363","status":"public","type":"dissertation","language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","checksum":"77c6c05cfe8b58c8abcf1b854375d084","file_id":"6389","embargo":"2020-05-09","date_updated":"2021-02-11T11:17:15Z","file_size":13966891,"creator":"cespinoza","date_created":"2019-05-07T16:00:39Z","file_name":"Espinozathesis_all2.pdf"},{"date_updated":"2020-07-14T12:47:28Z","file_size":11159900,"creator":"cespinoza","date_created":"2019-05-07T16:00:48Z","file_name":"Espinoza_Thesis.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","embargo_to":"open_access","access_level":"closed","relation":"source_file","checksum":"f6aa819f127691a2b0fc21c76eb09746","file_id":"6390"}],"publication_status":"published","degree_awarded":"PhD","publication_identifier":{"isbn":["978-3-99078-000-8"],"issn":["2663-337X"]},"related_material":{"record":[{"relation":"part_of_dissertation","id":"21","status":"public"}]},"oa_version":"Published Version","abstract":[{"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","lang":"eng"}],"month":"04","alternative_title":["ISTA Thesis"]},{"_id":"320","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","date_updated":"2023-09-11T12:45:10Z","ddc":["570"],"department":[{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:46:03Z","abstract":[{"text":"Fast-spiking, parvalbumin-expressing GABAergic interneurons (PV+-BCs) express a complex machinery of rapid signaling mechanisms, including specialized voltage-gated ion channels to generate brief action potentials (APs). However, short APs are associated with overlapping Na+ and K+ fluxes and are therefore energetically expensive. How the potentially vicious combination of high AP frequency and inefficient spike generation can be reconciled with limited energy supply is presently unclear. To address this question, we performed direct recordings from the PV+-BC axon, the subcellular structure where active conductances for AP initiation and propagation are located. Surprisingly, the energy required for the AP was, on average, only ∼1.6 times the theoretical minimum. High energy efficiency emerged from the combination of fast inactivation of Na+ channels and delayed activation of Kv3-type K+ channels, which minimized ion flux overlap during APs. Thus, the complementary tuning of axonal Na+ and K+ channel gating optimizes both fast signaling properties and metabolic efficiency. Hu et al. demonstrate that action potentials in parvalbumin-expressing GABAergic interneuron axons are energetically efficient, which is highly unexpected given their brief duration. High energy efficiency emerges from the combination of fast inactivation of voltage-gated Na+ channels and delayed activation of Kv3 channels in the axon. ","lang":"eng"}],"oa_version":"Published Version","scopus_import":"1","month":"04","intvolume":" 98","publication_status":"published","file":[{"file_size":3180444,"date_updated":"2020-07-14T12:46:03Z","creator":"dernst","file_name":"2018_Neuron_Hu.pdf","date_created":"2018-12-17T10:37:50Z","content_type":"application/pdf","relation":"main_file","access_level":"open_access","checksum":"76070f3729f9c603e1080d0151aa2b11","file_id":"5690"}],"language":[{"iso":"eng"}],"issue":"1","volume":98,"related_material":{"link":[{"description":"News on IST Homepage","url":"https://ist.ac.at/en/news/a-certain-type-of-neurons-is-more-energy-efficient-than-previously-assumed/","relation":"press_release"}]},"ec_funded":1,"project":[{"name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548","call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425"},{"name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"The Wittgenstein Prize","grant_number":"Z00312"}],"citation":{"ieee":"H. Hu, F. Roth, D. H. Vandael, and P. M. Jonas, “Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons,” Neuron, vol. 98, no. 1. Elsevier, pp. 156–165, 2018.","short":"H. Hu, F. Roth, D.H. Vandael, P.M. Jonas, Neuron 98 (2018) 156–165.","apa":"Hu, H., Roth, F., Vandael, D. H., & Jonas, P. M. (2018). Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2018.02.024","ama":"Hu H, Roth F, Vandael DH, Jonas PM. Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. 2018;98(1):156-165. doi:10.1016/j.neuron.2018.02.024","mla":"Hu, Hua, et al. “Complementary Tuning of Na+ and K+ Channel Gating Underlies Fast and Energy-Efficient Action Potentials in GABAergic Interneuron Axons.” Neuron, vol. 98, no. 1, Elsevier, 2018, pp. 156–65, doi:10.1016/j.neuron.2018.02.024.","ista":"Hu H, Roth F, Vandael DH, Jonas PM. 2018. Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. 98(1), 156–165.","chicago":"Hu, Hua, Fabian Roth, David H Vandael, and Peter M Jonas. “Complementary Tuning of Na+ and K+ Channel Gating Underlies Fast and Energy-Efficient Action Potentials in GABAergic Interneuron Axons.” Neuron. Elsevier, 2018. https://doi.org/10.1016/j.neuron.2018.02.024."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","author":[{"full_name":"Hu, Hua","last_name":"Hu","id":"4AC0145C-F248-11E8-B48F-1D18A9856A87","first_name":"Hua"},{"last_name":"Roth","full_name":"Roth, Fabian","first_name":"Fabian"},{"full_name":"Vandael, David H","orcid":"0000-0001-7577-1676","last_name":"Vandael","id":"3AE48E0A-F248-11E8-B48F-1D18A9856A87","first_name":"David H"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M"}],"publist_id":"7545","article_processing_charge":"Yes (in subscription journal)","external_id":{"isi":["000429192100016"]},"title":"Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons","publisher":"Elsevier","quality_controlled":"1","oa":1,"isi":1,"has_accepted_license":"1","year":"2018","day":"04","publication":"Neuron","page":"156 - 165","date_published":"2018-04-04T00:00:00Z","doi":"10.1016/j.neuron.2018.02.024","date_created":"2018-12-11T11:45:48Z"},{"status":"public","pubrep_id":"997","type":"dissertation","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"_id":"324","department":[{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:46:04Z","ddc":["571"],"supervisor":[{"last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"date_updated":"2023-09-27T12:26:03Z","month":"03","alternative_title":["ISTA Thesis"],"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Neuronal networks in the brain consist of two main types of neuron, glutamatergic principal neurons and GABAergic interneurons. Although these interneurons only represent 10–20% of the whole population, they mediate feedback and feedforward inhibition and are involved in the generation of high-frequency network oscillations. A hallmark functional property of GABAergic interneurons, especially of the parvalbumin‑expressing (PV+) subtypes, is the speed of signaling at their output synapse across species and brain regions. Several molecular and subcellular factors may underlie the submillisecond signaling at GABAergic synapses. Such as the selective use of P/Q type Ca2+ channels and the tight coupling between Ca2+ channels and Ca2+ sensors of exocytosis. However, whether the molecular identity of the release sensor contributes to these signaling properties remains unclear. Besides, these interneurons are mainly show depression in response to train of stimuli. How could they keep sufficient release to control the activity of postsynaptic principal neurons during high network activity, is largely elusive. For my Ph.D. work, we firstly examined the Ca2+ sensor of exocytosis at the GABAergic basket cell (BC) to Purkinje cell (PC) synapse in the cerebellum. Immunolabeling suggested that BC terminals selectively expressed synaptotagmin 2 (Syt2), whereas synaptotagmin 1 (Syt1) was enriched in excitatory terminals. Genetic elimination of Syt2 reduced action potential-evoked release to ~10% compared to the wild-type control, identifying Syt2 as the major Ca2+ sensor at BC‑PC synapses. Differential adenovirus-mediated rescue revealed Syt2 triggered release with shorter latency and higher temporal precision, and mediated faster vesicle pool replenishment than Syt1. Furthermore, deletion of Syt2 severely reduced and delayed disynaptic inhibition following parallel fiber stimulation. Thus, the selective use of Syt2 as the release sensor at BC–PC synapse ensures fast feedforward inhibition in cerebellar microcircuits. Additionally, we tested the function of another synaptotagmin member, Syt7, for inhibitory synaptic transmission at the BC–PC synapse. Syt7 is thought to be a Ca2+ sensor that mediates asynchronous transmitter release and facilitation at synapses. However, it is strongly expressed in fast-spiking, PV+ GABAergic interneurons and the output synapses of these neurons produce only minimal asynchronous release and show depression rather than facilitation. How could Syt7, a facilitation sensor, contribute to the depressed inhibitory synaptic transmission needs to be further investigated and understood. Our results indicated that at the BC–PC synapse, Syt7 contributes to asynchronous release, pool replenishment and facilitation. In combination, these three effects ensure efficient transmitter release during high‑frequency activity and guarantee frequency independence of inhibition. Taken together, our results confirmed that Syt2, which has the fastest kinetic properties among all synaptotagmin members, is mainly used by the inhibitory BC‑PC synapse for synaptic transmission, contributing to the speed and temporal precision of transmitter release. Furthermore, we showed that Syt7, another highly expressed synaptotagmin member in the output synapses of cerebellar BCs, is used for ensuring efficient inhibitor synaptic transmission during high activity."}],"related_material":{"record":[{"id":"1117","status":"public","relation":"part_of_dissertation"},{"id":"749","status":"public","relation":"part_of_dissertation"}]},"file":[{"checksum":"8e163ae9e927401b9fa7c1b3e6a3631a","file_id":"5046","access_level":"open_access","relation":"main_file","content_type":"application/pdf","date_created":"2018-12-12T10:13:58Z","file_name":"IST-2018-997-v1+1_Thesis_chong_a.pdf","creator":"system","date_updated":"2020-07-14T12:46:04Z","file_size":8719458},{"file_name":"2018_Thesis_chong_source.pages","date_created":"2019-04-05T09:25:26Z","file_size":47841940,"date_updated":"2020-07-14T12:46:04Z","creator":"dernst","file_id":"6221","checksum":"f7d7260029a5fbb5c982db61328ade52","content_type":"application/octet-stream","relation":"source_file","access_level":"closed"}],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["2663-337X"]},"publication_status":"published","degree_awarded":"PhD","title":"Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release","publist_id":"7541","author":[{"id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong","last_name":"Chen","full_name":"Chen, Chong"}],"article_processing_charge":"No","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"apa":"Chen, C. (2018). Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_997","ama":"Chen C. Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. 2018. doi:10.15479/AT:ISTA:th_997","ieee":"C. Chen, “Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release,” Institute of Science and Technology Austria, 2018.","short":"C. Chen, Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter Release, Institute of Science and Technology Austria, 2018.","mla":"Chen, Chong. Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter Release. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_997.","ista":"Chen C. 2018. Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. Institute of Science and Technology Austria.","chicago":"Chen, Chong. “Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter Release.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_997."},"publisher":"Institute of Science and Technology Austria","oa":1,"date_published":"2018-03-01T00:00:00Z","doi":"10.15479/AT:ISTA:th_997","date_created":"2018-12-11T11:45:49Z","page":"110","day":"01","has_accepted_license":"1","year":"2018"},{"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","access_level":"open_access","checksum":"9fe2a63bd95a5067d896c087d07998f3","file_id":"5715","file_size":4651930,"date_updated":"2020-07-14T12:45:28Z","creator":"dernst","file_name":"2018_NatureComm_Espinoza.pdf","date_created":"2018-12-17T15:41:57Z"}],"publication_status":"published","ec_funded":1,"volume":9,"related_material":{"link":[{"description":"News on IST Homepage","url":"https://ist.ac.at/en/news/lateral-inhibition-keeps-similar-memories-apart/","relation":"press_release"}],"record":[{"relation":"dissertation_contains","id":"6363","status":"public"}]},"issue":"1","oa_version":"Published Version","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"}],"intvolume":" 9","month":"11","scopus_import":"1","ddc":["570"],"date_updated":"2024-03-27T23:30:31Z","department":[{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:45:28Z","_id":"21","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","article_type":"original","publication":"Nature Communications","day":"02","year":"2018","has_accepted_license":"1","isi":1,"date_created":"2018-12-11T11:44:12Z","doi":"10.1038/s41467-018-06899-3","date_published":"2018-11-02T00:00:00Z","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..","oa":1,"publisher":"Nature Publishing Group","quality_controlled":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"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","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","short":"C. Espinoza Martinez, J. Guzmán, X. Zhang, P.M. Jonas, Nature Communications 9 (2018).","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.","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.","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.","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."},"title":"Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus","article_processing_charge":"No","external_id":{"isi":["000449069700009"]},"publist_id":"8034","author":[{"id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","first_name":"Claudia ","last_name":"Espinoza Martinez","full_name":"Espinoza Martinez, Claudia ","orcid":"0000-0003-4710-2082"},{"full_name":"Guzmán, José","orcid":"0000-0003-2209-5242","last_name":"Guzmán","first_name":"José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Zhang, Xiaomin","last_name":"Zhang","id":"423EC9C2-F248-11E8-B48F-1D18A9856A87","first_name":"Xiaomin"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"article_number":"4605","project":[{"name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"grant_number":"Z00312","name":"The Wittgenstein Prize","_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}]},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ista":"Sauermann S, David V, Schlögl A, Egelkraut R, Frohner M, Pohn B, Urbauer P, Mense A. 2017. Biosignals standards and FHIR: The way to go. eHealth: Health Informatics Meets eHealth, Studies in Health Technology and Informatics, vol. 236, 356–362.","chicago":"Sauermann, Stefan, Veronika David, Alois Schlögl, Reinhard Egelkraut, Matthias Frohner, Birgit Pohn, Philipp Urbauer, and Alexander Mense. “Biosignals Standards and FHIR: The Way to Go,” 236:356–62. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-759-7-356.","apa":"Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B., … Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp. 356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria: IOS Press. https://doi.org/10.3233/978-1-61499-759-7-356","ama":"Sauermann S, David V, Schlögl A, et al. Biosignals standards and FHIR: The way to go. In: Vol 236. IOS Press; 2017:356-362. doi:10.3233/978-1-61499-759-7-356","short":"S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P. Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.","ieee":"S. Sauermann et al., “Biosignals standards and FHIR: The way to go,” presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria, 2017, vol. 236, pp. 356–362.","mla":"Sauermann, Stefan, et al. Biosignals Standards and FHIR: The Way to Go. Vol. 236, IOS Press, 2017, pp. 356–62, doi:10.3233/978-1-61499-759-7-356."},"title":"Biosignals standards and FHIR: The way to go","author":[{"full_name":"Sauermann, Stefan","last_name":"Sauermann","first_name":"Stefan"},{"first_name":"Veronika","last_name":"David","full_name":"David, Veronika"},{"last_name":"Schlögl","orcid":"0000-0002-5621-8100","full_name":"Schlögl, Alois","first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Reinhard","last_name":"Egelkraut","full_name":"Egelkraut, Reinhard"},{"first_name":"Matthias","last_name":"Frohner","full_name":"Frohner, Matthias"},{"full_name":"Pohn, Birgit","last_name":"Pohn","first_name":"Birgit"},{"first_name":"Philipp","last_name":"Urbauer","full_name":"Urbauer, Philipp"},{"full_name":"Mense, Alexander","last_name":"Mense","first_name":"Alexander"}],"publist_id":"7164","oa":1,"publisher":"IOS Press","quality_controlled":"1","day":"01","year":"2017","has_accepted_license":"1","date_created":"2018-12-11T11:47:36Z","doi":"10.3233/978-1-61499-759-7-356","date_published":"2017-01-01T00:00:00Z","page":"356 - 362","_id":"630","pubrep_id":"906","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","short":"CC BY-NC (4.0)"},"conference":{"name":"eHealth: Health Informatics Meets eHealth","start_date":"2017-05-23","location":"Vienna, Austria","end_date":"2017-05-24"},"type":"conference","ddc":["005"],"date_updated":"2021-01-12T08:06:59Z","department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:47:27Z","oa_version":"Published Version","abstract":[{"lang":"eng","text":"Background: Standards have become available to share semantically encoded vital parameters from medical devices, as required for example by personal healthcare records. Standardised sharing of biosignal data largely remains open. Objectives: The goal of this work is to explore available biosignal file format and data exchange standards and profiles, and to conceptualise end-To-end solutions. Methods: The authors reviewed and discussed available biosignal file format standards with other members of international standards development organisations (SDOs). Results: A raw concept for standards based acquisition, storage, archiving and sharing of biosignals was developed. The GDF format may serve for storing biosignals. Signals can then be shared using FHIR resources and may be stored on FHIR servers or in DICOM archives, with DICOM waveforms as one possible format. Conclusion: Currently a group of international SDOs (e.g. HL7, IHE, DICOM, IEEE) is engaged in intensive discussions. This discussion extends existing work that already was adopted by large implementer communities. The concept presented here only reports the current status of the discussion in Austria. The discussion will continue internationally, with results to be expected over the coming years."}],"intvolume":" 236","month":"01","scopus_import":1,"alternative_title":["Studies in Health Technology and Informatics"],"language":[{"iso":"eng"}],"file":[{"checksum":"1254dcc5b04a996d97fad9a726b42727","file_id":"4913","content_type":"application/pdf","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T10:11:56Z","file_name":"IST-2017-906-v1+1_SHTI236-0356.pdf","date_updated":"2020-07-14T12:47:27Z","file_size":443635,"creator":"system"}],"publication_status":"published","publication_identifier":{"isbn":["978-161499758-0"]},"volume":236},{"issue":"8","volume":22,"date_published":"2017-08-01T00:00:00Z","doi":"10.1111/gtc.12508","date_created":"2018-12-11T11:48:02Z","page":"715 - 722","day":"01","language":[{"iso":"eng"}],"publication":"Genes to Cells","publication_identifier":{"issn":["13569597"]},"publication_status":"published","year":"2017","month":"08","intvolume":" 22","scopus_import":1,"publisher":"Wiley-Blackwell","quality_controlled":"1","oa_version":"None","abstract":[{"text":"A hippocampal mossy fiber synapse has a complex structure and is implicated in learning and memory. In this synapse, the mossy fiber boutons attach to the dendritic shaft by puncta adherentia junctions and wrap around a multiply-branched spine, forming synaptic junctions. We have recently shown using transmission electron microscopy, immunoelectron microscopy and serial block face-scanning electron microscopy that atypical puncta adherentia junctions are formed in the afadin-deficient mossy fiber synapse and that the complexity of postsynaptic spines and mossy fiber boutons, the number of spine heads, the area of postsynaptic densities and the density of synaptic vesicles docked to active zones are decreased in the afadin-deficient synapse. We investigated here the roles of afadin in the functional differentiations of the mossy fiber synapse using the afadin-deficient mice. The electrophysiological studies showed that both the release probability of glutamate and the postsynaptic responsiveness to glutamate were markedly reduced, but not completely lost, in the afadin-deficient mossy fiber synapse, whereas neither long-term potentiation nor long-term depression was affected. These results indicate that afadin plays roles in the functional differentiations of the presynapse and the postsynapse of the hippocampal mossy fiber synapse.","lang":"eng"}],"title":"Roles of afadin in functional differentiations of hippocampal mossy fiber synapse","department":[{"_id":"PeJo"}],"publist_id":"6987","author":[{"first_name":"Xiaoqi","id":"3395256A-F248-11E8-B48F-1D18A9856A87","full_name":"Geng, Xiaoqi","last_name":"Geng"},{"last_name":"Maruo","full_name":"Maruo, Tomohiko","first_name":"Tomohiko"},{"full_name":"Mandai, Kenji","last_name":"Mandai","first_name":"Kenji"},{"first_name":"Irwan","full_name":"Supriyanto, Irwan","last_name":"Supriyanto"},{"first_name":"Muneaki","full_name":"Miyata, Muneaki","last_name":"Miyata"},{"first_name":"Shotaro","last_name":"Sakakibara","full_name":"Sakakibara, Shotaro"},{"full_name":"Mizoguchi, Akira","last_name":"Mizoguchi","first_name":"Akira"},{"first_name":"Yoshimi","last_name":"Takai","full_name":"Takai, Yoshimi"},{"first_name":"Masahiro","last_name":"Mori","full_name":"Mori, Masahiro"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","date_updated":"2021-01-12T08:11:37Z","citation":{"chicago":"Geng, Xiaoqi, Tomohiko Maruo, Kenji Mandai, Irwan Supriyanto, Muneaki Miyata, Shotaro Sakakibara, Akira Mizoguchi, Yoshimi Takai, and Masahiro Mori. “Roles of Afadin in Functional Differentiations of Hippocampal Mossy Fiber Synapse.” Genes to Cells. Wiley-Blackwell, 2017. https://doi.org/10.1111/gtc.12508.","ista":"Geng X, Maruo T, Mandai K, Supriyanto I, Miyata M, Sakakibara S, Mizoguchi A, Takai Y, Mori M. 2017. Roles of afadin in functional differentiations of hippocampal mossy fiber synapse. Genes to Cells. 22(8), 715–722.","mla":"Geng, Xiaoqi, et al. “Roles of Afadin in Functional Differentiations of Hippocampal Mossy Fiber Synapse.” Genes to Cells, vol. 22, no. 8, Wiley-Blackwell, 2017, pp. 715–22, doi:10.1111/gtc.12508.","ieee":"X. Geng et al., “Roles of afadin in functional differentiations of hippocampal mossy fiber synapse,” Genes to Cells, vol. 22, no. 8. Wiley-Blackwell, pp. 715–722, 2017.","short":"X. Geng, T. Maruo, K. Mandai, I. Supriyanto, M. Miyata, S. Sakakibara, A. Mizoguchi, Y. Takai, M. Mori, Genes to Cells 22 (2017) 715–722.","ama":"Geng X, Maruo T, Mandai K, et al. Roles of afadin in functional differentiations of hippocampal mossy fiber synapse. Genes to Cells. 2017;22(8):715-722. doi:10.1111/gtc.12508","apa":"Geng, X., Maruo, T., Mandai, K., Supriyanto, I., Miyata, M., Sakakibara, S., … Mori, M. (2017). Roles of afadin in functional differentiations of hippocampal mossy fiber synapse. Genes to Cells. Wiley-Blackwell. https://doi.org/10.1111/gtc.12508"},"status":"public","type":"journal_article","_id":"706"},{"ddc":["571"],"date_updated":"2023-09-20T11:31:48Z","file_date_updated":"2018-12-12T10:08:56Z","department":[{"_id":"PeJo"},{"_id":"JoCs"}],"_id":"1118","pubrep_id":"752","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","language":[{"iso":"eng"}],"file":[{"file_name":"IST-2017-752-v1+1_1-s2.0-S0896627316309606-main.pdf","date_created":"2018-12-12T10:08:56Z","file_size":2738950,"date_updated":"2018-12-12T10:08:56Z","creator":"system","file_id":"4719","content_type":"application/pdf","relation":"main_file","access_level":"open_access"}],"publication_status":"published","ec_funded":1,"issue":"2","volume":93,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Sharp wave-ripple (SWR) oscillations play a key role in memory consolidation during non-rapid eye movement sleep, immobility, and consummatory behavior. However, whether temporally modulated synaptic excitation or inhibition underlies the ripples is controversial. To address this question, we performed simultaneous recordings of excitatory and inhibitory postsynaptic currents (EPSCs and IPSCs) and local field potentials (LFPs) in the CA1 region of awake mice in vivo. During SWRs, inhibition dominated over excitation, with a peak conductance ratio of 4.1 ± 0.5. Furthermore, the amplitude of SWR-associated IPSCs was positively correlated with SWR magnitude, whereas that of EPSCs was not. Finally, phase analysis indicated that IPSCs were phase-locked to individual ripple cycles, whereas EPSCs were uniformly distributed in phase space. Optogenetic inhibition indicated that PV+ interneurons provided a major contribution to SWR-associated IPSCs. Thus, phasic inhibition, but not excitation, shapes SWR oscillations in the hippocampal CA1 region in vivo."}],"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"},{"_id":"PreCl"}],"intvolume":" 93","month":"01","scopus_import":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"mla":"Gan, Jian, et al. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” Neuron, vol. 93, no. 2, Elsevier, 2017, pp. 308–14, doi:10.1016/j.neuron.2016.12.018.","ama":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 2017;93(2):308-314. doi:10.1016/j.neuron.2016.12.018","apa":"Gan, J., Weng, S.-M., Pernia-Andrade, A., Csicsvari, J. L., & Jonas, P. M. (2017). Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2016.12.018","ieee":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J. L. Csicsvari, and P. M. Jonas, “Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo,” Neuron, vol. 93, no. 2. Elsevier, pp. 308–314, 2017.","short":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J.L. Csicsvari, P.M. Jonas, Neuron 93 (2017) 308–314.","chicago":"Gan, Jian, Shih-Ming Weng, Alejandro Pernia-Andrade, Jozsef L Csicsvari, and Peter M Jonas. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” Neuron. Elsevier, 2017. https://doi.org/10.1016/j.neuron.2016.12.018.","ista":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. 2017. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 93(2), 308–314."},"title":"Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo","external_id":{"isi":["000396428200010"]},"article_processing_charge":"No","publist_id":"6244","author":[{"id":"3614E438-F248-11E8-B48F-1D18A9856A87","first_name":"Jian","last_name":"Gan","full_name":"Gan, Jian"},{"full_name":"Weng, Shih-Ming","last_name":"Weng","first_name":"Shih-Ming","id":"2F9C5AC8-F248-11E8-B48F-1D18A9856A87"},{"id":"36963E98-F248-11E8-B48F-1D18A9856A87","first_name":"Alejandro","last_name":"Pernia-Andrade","full_name":"Pernia-Andrade, Alejandro"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"project":[{"name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"_id":"25C0F108-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"}],"publication":"Neuron","day":"18","year":"2017","has_accepted_license":"1","isi":1,"date_created":"2018-12-11T11:50:15Z","date_published":"2017-01-18T00:00:00Z","doi":"10.1016/j.neuron.2016.12.018","page":"308 - 314","oa":1,"publisher":"Elsevier","quality_controlled":"1"},{"file_date_updated":"2018-12-12T10:16:09Z","department":[{"_id":"PeJo"}],"date_updated":"2023-09-20T11:32:15Z","ddc":["571"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","pubrep_id":"751","status":"public","_id":"1117","ec_funded":1,"issue":"3","volume":18,"related_material":{"record":[{"status":"public","id":"324","relation":"dissertation_contains"}]},"publication_status":"published","publication_identifier":{"issn":["22111247"]},"language":[{"iso":"eng"}],"file":[{"creator":"system","date_updated":"2018-12-12T10:16:09Z","file_size":4427591,"date_created":"2018-12-12T10:16:09Z","file_name":"IST-2017-751-v1+1_1-s2.0-S2211124716317740-main.pdf","access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_id":"5195"}],"scopus_import":"1","intvolume":" 18","month":"01","acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}],"abstract":[{"lang":"eng","text":"GABAergic synapses in brain circuits generate inhibitory output signals with submillisecond latency and temporal precision. Whether the molecular identity of the release sensor contributes to these signaling properties remains unclear. Here, we examined the Ca^2+ sensor of exocytosis at GABAergic basket cell (BC) to Purkinje cell (PC) synapses in cerebellum. Immunolabeling suggested that BC terminals selectively expressed synaptotagmin 2 (Syt2), whereas synaptotagmin 1 (Syt1) was enriched in excitatory terminals. Genetic elimination of Syt2 reduced action potential-evoked release to ∼10%, identifying Syt2 as the major Ca^2+ sensor at BC-PC synapses. Differential adenovirus-mediated rescue revealed that Syt2 triggered release with shorter latency and higher temporal precision and mediated faster vesicle pool replenishment than Syt1. Furthermore, deletion of Syt2 severely reduced and delayed disynaptic inhibition following parallel fiber stimulation. Thus, the selective use of Syt2 as release sensor at BC-PC synapses ensures fast and efficient feedforward inhibition in cerebellar microcircuits. #bioimagingfacility-author"}],"oa_version":"Published Version","article_processing_charge":"No","external_id":{"isi":["000396470600013"]},"publist_id":"6245","author":[{"id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong","last_name":"Chen","full_name":"Chen, Chong"},{"id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru","last_name":"Arai","full_name":"Arai, Itaru"},{"full_name":"Satterield, Rachel","last_name":"Satterield","first_name":"Rachel"},{"last_name":"Young","full_name":"Young, Samuel","first_name":"Samuel"},{"orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"title":"Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse","citation":{"mla":"Chen, Chong, et al. “Synaptotagmin 2 Is the Fast Ca2+ Sensor at a Central Inhibitory Synapse.” Cell Reports, vol. 18, no. 3, Cell Press, 2017, pp. 723–36, doi:10.1016/j.celrep.2016.12.067.","apa":"Chen, C., Arai, itaru, Satterield, R., Young, S., & Jonas, P. M. (2017). Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse. Cell Reports. Cell Press. https://doi.org/10.1016/j.celrep.2016.12.067","ama":"Chen C, Arai itaru, Satterield R, Young S, Jonas PM. Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse. Cell Reports. 2017;18(3):723-736. doi:10.1016/j.celrep.2016.12.067","short":"C. Chen, itaru Arai, R. Satterield, S. Young, P.M. Jonas, Cell Reports 18 (2017) 723–736.","ieee":"C. Chen, itaru Arai, R. Satterield, S. Young, and P. M. Jonas, “Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse,” Cell Reports, vol. 18, no. 3. Cell Press, pp. 723–736, 2017.","chicago":"Chen, Chong, itaru Arai, Rachel Satterield, Samuel Young, and Peter M Jonas. “Synaptotagmin 2 Is the Fast Ca2+ Sensor at a Central Inhibitory Synapse.” Cell Reports. Cell Press, 2017. https://doi.org/10.1016/j.celrep.2016.12.067.","ista":"Chen C, Arai itaru, Satterield R, Young S, Jonas PM. 2017. Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse. Cell Reports. 18(3), 723–736."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","project":[{"grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","call_identifier":"FWF","_id":"25C26B1E-B435-11E9-9278-68D0E5697425"},{"_id":"25C0F108-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"}],"page":"723 - 736","date_created":"2018-12-11T11:50:14Z","date_published":"2017-01-17T00:00:00Z","doi":"10.1016/j.celrep.2016.12.067","year":"2017","has_accepted_license":"1","isi":1,"publication":"Cell Reports","day":"17","oa":1,"quality_controlled":"1","publisher":"Cell Press"}]