Cargando…
Identification of interacting neural populations: methods and statistical considerations
As improved recording technologies have created new opportunities for neurophysiological investigation, emphasis has shifted from individual neurons to multiple populations that form circuits, and it has become important to provide evidence of cross-population coordinated activity. We review various...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Physiological Society
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642974/ https://www.ncbi.nlm.nih.gov/pubmed/37465897 http://dx.doi.org/10.1152/jn.00131.2023 |
_version_ | 1785147057480138752 |
---|---|
author | Kass, Robert E. Bong, Heejong Olarinre, Motolani Xin, Qi Urban, Konrad N. |
author_facet | Kass, Robert E. Bong, Heejong Olarinre, Motolani Xin, Qi Urban, Konrad N. |
author_sort | Kass, Robert E. |
collection | PubMed |
description | As improved recording technologies have created new opportunities for neurophysiological investigation, emphasis has shifted from individual neurons to multiple populations that form circuits, and it has become important to provide evidence of cross-population coordinated activity. We review various methods for doing so, placing them in six major categories while avoiding technical descriptions and instead focusing on high-level motivations and concerns. Our aim is to indicate what the methods can achieve and the circumstances under which they are likely to succeed. Toward this end, we include a discussion of four cross-cutting issues: the definition of neural populations, trial-to-trial variability and Poisson-like noise, time-varying dynamics, and causality. Listen to this article’s corresponding podcast at https://jneurophysiol.podbean.com/e/jnp-micro-podcasts-four-questions-robert-kass/. |
format | Online Article Text |
id | pubmed-10642974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Physiological Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106429742023-11-14 Identification of interacting neural populations: methods and statistical considerations Kass, Robert E. Bong, Heejong Olarinre, Motolani Xin, Qi Urban, Konrad N. J Neurophysiol Review As improved recording technologies have created new opportunities for neurophysiological investigation, emphasis has shifted from individual neurons to multiple populations that form circuits, and it has become important to provide evidence of cross-population coordinated activity. We review various methods for doing so, placing them in six major categories while avoiding technical descriptions and instead focusing on high-level motivations and concerns. Our aim is to indicate what the methods can achieve and the circumstances under which they are likely to succeed. Toward this end, we include a discussion of four cross-cutting issues: the definition of neural populations, trial-to-trial variability and Poisson-like noise, time-varying dynamics, and causality. Listen to this article’s corresponding podcast at https://jneurophysiol.podbean.com/e/jnp-micro-podcasts-four-questions-robert-kass/. American Physiological Society 2023-09-01 2023-07-19 /pmc/articles/PMC10642974/ /pubmed/37465897 http://dx.doi.org/10.1152/jn.00131.2023 Text en Copyright © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Licensed under Creative Commons Attribution CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/) . Published by the American Physiological Society. |
spellingShingle | Review Kass, Robert E. Bong, Heejong Olarinre, Motolani Xin, Qi Urban, Konrad N. Identification of interacting neural populations: methods and statistical considerations |
title | Identification of interacting neural populations: methods and statistical considerations |
title_full | Identification of interacting neural populations: methods and statistical considerations |
title_fullStr | Identification of interacting neural populations: methods and statistical considerations |
title_full_unstemmed | Identification of interacting neural populations: methods and statistical considerations |
title_short | Identification of interacting neural populations: methods and statistical considerations |
title_sort | identification of interacting neural populations: methods and statistical considerations |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642974/ https://www.ncbi.nlm.nih.gov/pubmed/37465897 http://dx.doi.org/10.1152/jn.00131.2023 |
work_keys_str_mv | AT kassroberte identificationofinteractingneuralpopulationsmethodsandstatisticalconsiderations AT bongheejong identificationofinteractingneuralpopulationsmethodsandstatisticalconsiderations AT olarinremotolani identificationofinteractingneuralpopulationsmethodsandstatisticalconsiderations AT xinqi identificationofinteractingneuralpopulationsmethodsandstatisticalconsiderations AT urbankonradn identificationofinteractingneuralpopulationsmethodsandstatisticalconsiderations |