Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity.
Patterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without frequency adaptation, and intrinsic bursting. Moreover,...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-10-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1007462 |
| _version_ | 1818716754213339136 |
|---|---|
| author | Siva Venkadesh Alexander O Komendantov Diek W Wheeler David J Hamilton Giorgio A Ascoli |
| author_facet | Siva Venkadesh Alexander O Komendantov Diek W Wheeler David J Hamilton Giorgio A Ascoli |
| author_sort | Siva Venkadesh |
| collection | DOAJ |
| description | Patterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without frequency adaptation, and intrinsic bursting. Moreover, the input-dependent responses of a neuron not only show different quantitative features, such as higher spike frequency for a stronger input current injection, but can also exhibit qualitatively different responses, such as spiking and bursting under different input conditions, thus forming a complex phenotype of responses. In previous work, the comprehensive knowledge base of hippocampal neuron types Hippocampome.org systematically characterized various spike pattern phenotypes experimentally identified from 120 neuron types/subtypes. In this paper, we present a complete set of simple phenomenological models that quantitatively reproduce the diverse and complex phenotypes of hippocampal neurons. In addition to point-neuron models, we created compact multi-compartment models with up to four compartments, which will allow spatial segregation of synaptic integration in network simulations. Electrotonic compartmentalization observed in our compact multi-compartment models is qualitatively consistent with experimental observations. The models were created using an automated pipeline based on evolutionary algorithms. This work maps 120 neuron types/subtypes in the rodent hippocampus to a low-dimensional model space and adds another dimension to the knowledge accumulated in Hippocampome.org. Computationally efficient representations of intrinsic dynamics, along with other pieces of knowledge available in Hippocampome.org, provide a biologically realistic platform to explore the large-scale interactions of various neuron types at the mesoscopic level. |
| first_indexed | 2024-12-17T19:24:17Z |
| format | Article |
| id | doaj.art-33b684ee768a490eb92af4b80b70f1da |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-17T19:24:17Z |
| publishDate | 2019-10-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-33b684ee768a490eb92af4b80b70f1da2022-12-21T21:35:25ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582019-10-011510e100746210.1371/journal.pcbi.1007462Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity.Siva VenkadeshAlexander O KomendantovDiek W WheelerDavid J HamiltonGiorgio A AscoliPatterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without frequency adaptation, and intrinsic bursting. Moreover, the input-dependent responses of a neuron not only show different quantitative features, such as higher spike frequency for a stronger input current injection, but can also exhibit qualitatively different responses, such as spiking and bursting under different input conditions, thus forming a complex phenotype of responses. In previous work, the comprehensive knowledge base of hippocampal neuron types Hippocampome.org systematically characterized various spike pattern phenotypes experimentally identified from 120 neuron types/subtypes. In this paper, we present a complete set of simple phenomenological models that quantitatively reproduce the diverse and complex phenotypes of hippocampal neurons. In addition to point-neuron models, we created compact multi-compartment models with up to four compartments, which will allow spatial segregation of synaptic integration in network simulations. Electrotonic compartmentalization observed in our compact multi-compartment models is qualitatively consistent with experimental observations. The models were created using an automated pipeline based on evolutionary algorithms. This work maps 120 neuron types/subtypes in the rodent hippocampus to a low-dimensional model space and adds another dimension to the knowledge accumulated in Hippocampome.org. Computationally efficient representations of intrinsic dynamics, along with other pieces of knowledge available in Hippocampome.org, provide a biologically realistic platform to explore the large-scale interactions of various neuron types at the mesoscopic level.https://doi.org/10.1371/journal.pcbi.1007462 |
| spellingShingle | Siva Venkadesh Alexander O Komendantov Diek W Wheeler David J Hamilton Giorgio A Ascoli Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity. PLoS Computational Biology |
| title | Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity. |
| title_full | Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity. |
| title_fullStr | Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity. |
| title_full_unstemmed | Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity. |
| title_short | Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity. |
| title_sort | simple models of quantitative firing phenotypes in hippocampal neurons comprehensive coverage of intrinsic diversity |
| url | https://doi.org/10.1371/journal.pcbi.1007462 |
| work_keys_str_mv | AT sivavenkadesh simplemodelsofquantitativefiringphenotypesinhippocampalneuronscomprehensivecoverageofintrinsicdiversity AT alexanderokomendantov simplemodelsofquantitativefiringphenotypesinhippocampalneuronscomprehensivecoverageofintrinsicdiversity AT diekwwheeler simplemodelsofquantitativefiringphenotypesinhippocampalneuronscomprehensivecoverageofintrinsicdiversity AT davidjhamilton simplemodelsofquantitativefiringphenotypesinhippocampalneuronscomprehensivecoverageofintrinsicdiversity AT giorgioaascoli simplemodelsofquantitativefiringphenotypesinhippocampalneuronscomprehensivecoverageofintrinsicdiversity |