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Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future

In this review article we focus on research methodologies for detecting the actual activity of cell assemblies, which are populations of functionally connected neurons that encode information in the brain. We introduce and discuss traditional and novel experimental methods and those currently in dev...

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Autores principales: Sakurai, Yoshio, Osako, Yuma, Tanisumi, Yuta, Ishihara, Eriko, Hirokawa, Junya, Manabe, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980992/
https://www.ncbi.nlm.nih.gov/pubmed/29887797
http://dx.doi.org/10.3389/fnsys.2018.00021
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author Sakurai, Yoshio
Osako, Yuma
Tanisumi, Yuta
Ishihara, Eriko
Hirokawa, Junya
Manabe, Hiroyuki
author_facet Sakurai, Yoshio
Osako, Yuma
Tanisumi, Yuta
Ishihara, Eriko
Hirokawa, Junya
Manabe, Hiroyuki
author_sort Sakurai, Yoshio
collection PubMed
description In this review article we focus on research methodologies for detecting the actual activity of cell assemblies, which are populations of functionally connected neurons that encode information in the brain. We introduce and discuss traditional and novel experimental methods and those currently in development and briefly discuss their advantages and disadvantages for the detection of cell-assembly activity. First, we introduce the electrophysiological method, i.e., multineuronal recording, and review former and recent examples of studies showing models of dynamic coding by cell assemblies in behaving rodents and monkeys. We also discuss how the firing correlation of two neurons reflects the firing synchrony among the numerous surrounding neurons that constitute cell assemblies. Second, we review the recent outstanding studies that used the novel method of optogenetics to show causal relationships between cell-assembly activity and behavioral change. Third, we review the most recently developed method of live-cell imaging, which facilitates the simultaneous observation of firings of a large number of neurons in behaving rodents. Currently, all these available methods have both advantages and disadvantages, and no single measurement method can directly and precisely detect the actual activity of cell assemblies. The best strategy is to combine the available methods and utilize each of their advantages with the technique of operant conditioning of multiple-task behaviors in animals and, if necessary, with brain–machine interface technology to verify the accuracy of neural information detected as cell-assembly activity.
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spelling pubmed-59809922018-06-08 Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future Sakurai, Yoshio Osako, Yuma Tanisumi, Yuta Ishihara, Eriko Hirokawa, Junya Manabe, Hiroyuki Front Syst Neurosci Neuroscience In this review article we focus on research methodologies for detecting the actual activity of cell assemblies, which are populations of functionally connected neurons that encode information in the brain. We introduce and discuss traditional and novel experimental methods and those currently in development and briefly discuss their advantages and disadvantages for the detection of cell-assembly activity. First, we introduce the electrophysiological method, i.e., multineuronal recording, and review former and recent examples of studies showing models of dynamic coding by cell assemblies in behaving rodents and monkeys. We also discuss how the firing correlation of two neurons reflects the firing synchrony among the numerous surrounding neurons that constitute cell assemblies. Second, we review the recent outstanding studies that used the novel method of optogenetics to show causal relationships between cell-assembly activity and behavioral change. Third, we review the most recently developed method of live-cell imaging, which facilitates the simultaneous observation of firings of a large number of neurons in behaving rodents. Currently, all these available methods have both advantages and disadvantages, and no single measurement method can directly and precisely detect the actual activity of cell assemblies. The best strategy is to combine the available methods and utilize each of their advantages with the technique of operant conditioning of multiple-task behaviors in animals and, if necessary, with brain–machine interface technology to verify the accuracy of neural information detected as cell-assembly activity. Frontiers Media S.A. 2018-05-25 /pmc/articles/PMC5980992/ /pubmed/29887797 http://dx.doi.org/10.3389/fnsys.2018.00021 Text en Copyright © 2018 Sakurai, Osako, Tanisumi, Ishihara, Hirokawa and Manabe. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Sakurai, Yoshio
Osako, Yuma
Tanisumi, Yuta
Ishihara, Eriko
Hirokawa, Junya
Manabe, Hiroyuki
Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
title Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
title_full Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
title_fullStr Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
title_full_unstemmed Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
title_short Multiple Approaches to the Investigation of Cell Assembly in Memory Research—Present and Future
title_sort multiple approaches to the investigation of cell assembly in memory research—present and future
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980992/
https://www.ncbi.nlm.nih.gov/pubmed/29887797
http://dx.doi.org/10.3389/fnsys.2018.00021
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