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- Publisher Website: 10.1073/pnas.2017339118
- Scopus: eid_2-s2.0-85111132748
- PMID: 34301882
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Article: Active dendrites enable strong but sparse inputs to determine orientation selectivity
Title | Active dendrites enable strong but sparse inputs to determine orientation selectivity |
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Authors | |
Keywords | Dendrite Dendritic spike Pyramidal cell Synaptic integration Visual cortex |
Issue Date | 2021 |
Citation | Proceedings of the National Academy of Sciences of the United States of America, 2021, v. 118, n. 30, article no. e2017339118 How to Cite? |
Abstract | The dendrites of neocortical pyramidal neurons are excitable. However, it is unknown how synaptic inputs engage nonlinear dendritic mechanisms during sensory processing in vivo, and how they in turn influence action potential output. Here, we provide a quantitative account of the relationship between synaptic inputs, nonlinear dendritic events, and action potential output. We developed a detailed pyramidal neuron model constrained by in vivo dendritic recordings. We drive this model with realistic input patterns constrained by sensory responses measured in vivo and connectivity measured in vitro. We show mechanistically that under realistic conditions, dendritic Na+ and NMDA spikes are the major determinants of neuronal output in vivo. We demonstrate that these dendritic spikes can be triggered by a surprisingly small number of strong synaptic inputs, in some cases even by single synapses. We predict that dendritic excitability allows the 1% strongest synaptic inputs of a neuron to control the tuning of its output. Active dendrites therefore allow smaller sub-circuits consisting of only a few strongly connected neurons to achieve selectivity for specific sensory features. |
Persistent Identifier | http://hdl.handle.net/10722/342976 |
ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 3.737 |
DC Field | Value | Language |
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dc.contributor.author | Goetz, Lea | - |
dc.contributor.author | Roth, Arnd | - |
dc.contributor.author | Häusser, Michael | - |
dc.date.accessioned | 2024-05-10T09:04:28Z | - |
dc.date.available | 2024-05-10T09:04:28Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Proceedings of the National Academy of Sciences of the United States of America, 2021, v. 118, n. 30, article no. e2017339118 | - |
dc.identifier.issn | 0027-8424 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342976 | - |
dc.description.abstract | The dendrites of neocortical pyramidal neurons are excitable. However, it is unknown how synaptic inputs engage nonlinear dendritic mechanisms during sensory processing in vivo, and how they in turn influence action potential output. Here, we provide a quantitative account of the relationship between synaptic inputs, nonlinear dendritic events, and action potential output. We developed a detailed pyramidal neuron model constrained by in vivo dendritic recordings. We drive this model with realistic input patterns constrained by sensory responses measured in vivo and connectivity measured in vitro. We show mechanistically that under realistic conditions, dendritic Na+ and NMDA spikes are the major determinants of neuronal output in vivo. We demonstrate that these dendritic spikes can be triggered by a surprisingly small number of strong synaptic inputs, in some cases even by single synapses. We predict that dendritic excitability allows the 1% strongest synaptic inputs of a neuron to control the tuning of its output. Active dendrites therefore allow smaller sub-circuits consisting of only a few strongly connected neurons to achieve selectivity for specific sensory features. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings of the National Academy of Sciences of the United States of America | - |
dc.subject | Dendrite | - |
dc.subject | Dendritic spike | - |
dc.subject | Pyramidal cell | - |
dc.subject | Synaptic integration | - |
dc.subject | Visual cortex | - |
dc.title | Active dendrites enable strong but sparse inputs to determine orientation selectivity | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1073/pnas.2017339118 | - |
dc.identifier.pmid | 34301882 | - |
dc.identifier.scopus | eid_2-s2.0-85111132748 | - |
dc.identifier.volume | 118 | - |
dc.identifier.issue | 30 | - |
dc.identifier.spage | article no. e2017339118 | - |
dc.identifier.epage | article no. e2017339118 | - |
dc.identifier.eissn | 1091-6490 | - |