Literature DB >> 29685404

Elucidating Neuronal Mechanisms Using Intracellular Recordings during Behavior.

Albert K Lee1, Michael Brecht2.   

Abstract

Intracellular recording allows measurement and perturbation of the membrane potential of identified neurons with sub-millisecond and sub-millivolt precision. This gives intracellular recordings a unique capacity to provide rich information about individual cells (e.g., high-resolution characterization of inputs, outputs, excitability, and structure). Hence, such recordings can elucidate the mechanisms that underlie fundamental phenomena, such as brain state, sparse coding, gating, gain modulation, and learning. Technical developments have increased the range of behaviors during which intracellular recording methods can be employed, such as in freely moving animals and head-fixed animals actively performing tasks, including in virtual environments. Such advances, and the combination of intracellular recordings with genetic and imaging techniques, have enabled investigation of the mechanisms that underlie neural computations during natural and trained behaviors.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  behavioral state; birdsong; corollary discharge; excitability; freely moving; gain modulation; head-fixed; intrinsic properties; juxtacellular; learning; membrane potential; negative image; neuronal integration; neuronal selectivity; place cell; plasticity; receptive field; sharp; sparse coding; subthreshold; threshold; virtual reality; whole-cell

Mesh:

Year:  2018        PMID: 29685404     DOI: 10.1016/j.tins.2018.03.014

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  5 in total

1.  Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality.

Authors:  James K Johnson; Nathaniel C Wright; Jì Xià; Ralf Wessel
Journal:  J Neurosci       Date:  2019-04-05       Impact factor: 6.167

Review 2.  Regulation of intrinsic excitability: Roles for learning and memory, aging and Alzheimer's disease, and genetic diversity.

Authors:  Amy R Dunn; Catherine C Kaczorowski
Journal:  Neurobiol Learn Mem       Date:  2019-08-20       Impact factor: 2.877

Review 3.  Temporal dynamics of affect in the brain: Evidence from human imaging and animal models.

Authors:  Nikki A Puccetti; William J Villano; Jonathan P Fadok; Aaron S Heller
Journal:  Neurosci Biobehav Rev       Date:  2021-12-11       Impact factor: 8.989

4.  OSERR: an open-source standalone electrophysiology recording system for rodents.

Authors:  Ning Cheng; Kartikeya Murari
Journal:  Sci Rep       Date:  2020-10-12       Impact factor: 4.379

Review 5.  Microcircuits for spatial coding in the medial entorhinal cortex.

Authors:  John J Tukker; Prateep Beed; Michael Brecht; Richard Kempter; Edvard I Moser; Dietmar Schmitz
Journal:  Physiol Rev       Date:  2021-07-13       Impact factor: 37.312

  5 in total

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