Literature DB >> 19515917

A second function of gamma frequency oscillations: an E%-max winner-take-all mechanism selects which cells fire.

Licurgo de Almeida1, Marco Idiart, John E Lisman.   

Abstract

The role of gamma oscillations in producing synchronized firing of groups of principal cells is well known. Here, we argue that gamma oscillations have a second function: they select which principal cells fire. This selection process occurs through the interaction of excitation with gamma frequency feedback inhibition. We sought to understand the rules that govern this process. One possibility is that a constant fraction of cells fire. Our analysis shows, however, that the fraction is not robust because it depends on the distribution of excitation to different cells. A robust description is termed E%-max: cells fire if they have suprathreshold excitation (E) within E% of the cell that has maximum excitation. The value of E%-max is approximated by the ratio of the delay of feedback inhibition to the membrane time constant. From measured values, we estimate that E%-max is 5-15%. Thus, an E%-max winner-take-all process can discriminate between groups of cells that have only small differences in excitation. To test the utility of this framework, we analyzed the role of oscillations in V1, one of the few systems in which both spiking and intracellular excitation have been directly measured. We show that an E%-max winner-take-all process provides a simple explanation for why the orientation tuning of firing is narrower than that of the excitatory input and why this difference is not affected by increasing excitation. Because gamma oscillations occur in many brain regions, the framework we have developed for understanding the second function of gamma is likely to have wide applicability.

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Year:  2009        PMID: 19515917      PMCID: PMC2758634          DOI: 10.1523/JNEUROSCI.6044-08.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  40 in total

1.  Synaptic excitation of inhibitory cells by single CA3 hippocampal pyramidal cells of the guinea-pig in vitro.

Authors:  R Miles
Journal:  J Physiol       Date:  1990-09       Impact factor: 5.182

2.  Cell excitation enhances muscarinic cholinergic responses in rat association cortex.

Authors:  R Andrade
Journal:  Brain Res       Date:  1991-05-10       Impact factor: 3.252

3.  5-Hydroxytryptamine2 and 5-hydroxytryptamine 1A receptors mediate opposing responses on membrane excitability in rat association cortex.

Authors:  R Araneda; R Andrade
Journal:  Neuroscience       Date:  1991       Impact factor: 3.590

4.  An after-hyperpolarization of medium duration in rat hippocampal pyramidal cells.

Authors:  J F Storm
Journal:  J Physiol       Date:  1989-02       Impact factor: 5.182

5.  Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex.

Authors:  C M Gray; W Singer
Journal:  Proc Natl Acad Sci U S A       Date:  1989-03       Impact factor: 11.205

6.  Coherent oscillations: a mechanism of feature linking in the visual cortex? Multiple electrode and correlation analyses in the cat.

Authors:  R Eckhorn; R Bauer; W Jordan; M Brosch; W Kruse; M Munk; H J Reitboeck
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

7.  Hippocampal pyramidal cells excite inhibitory neurons through a single release site.

Authors:  A I Gulyás; R Miles; A Sík; K Tóth; N Tamamaki; T F Freund
Journal:  Nature       Date:  1993-12-16       Impact factor: 49.962

8.  Low- and high-frequency membrane potential oscillations during theta activity in CA1 and CA3 pyramidal neurons of the rat hippocampus under ketamine-xylazine anesthesia.

Authors:  I Soltesz; M Deschênes
Journal:  J Neurophysiol       Date:  1993-07       Impact factor: 2.714

9.  Diverse sources of hippocampal unitary inhibitory postsynaptic potentials and the number of synaptic release sites.

Authors:  E H Buhl; K Halasy; P Somogyi
Journal:  Nature       Date:  1994-04-28       Impact factor: 49.962

10.  Characterization of a calcium-dependent current generating a slow afterdepolarization of CA3 pyramidal cells in rat hippocampal slice cultures.

Authors:  M Caeser; D A Brown; B H Gähwiler; T Knöpfel
Journal:  Eur J Neurosci       Date:  1993-06-01       Impact factor: 3.386

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  54 in total

1.  The single place fields of CA3 cells: a two-stage transformation from grid cells.

Authors:  Licurgo de Almeida; Marco Idiart; John E Lisman
Journal:  Hippocampus       Date:  2010-10-06       Impact factor: 3.899

Review 2.  Excitation, inhibition, local oscillations, or large-scale loops: what causes the symptoms of schizophrenia?

Authors:  John Lisman
Journal:  Curr Opin Neurobiol       Date:  2011-11-11       Impact factor: 6.627

Review 3.  Formation of the non-functional and functional pools of granule cells in the dentate gyrus: role of neurogenesis, LTP and LTD.

Authors:  John Lisman
Journal:  J Physiol       Date:  2010-11-22       Impact factor: 5.182

4.  Layer-specific excitation/inhibition balances during neuronal synchronization in the visual cortex.

Authors:  Hillel Adesnik
Journal:  J Physiol       Date:  2018-01-24       Impact factor: 5.182

Review 5.  The challenge of understanding the brain: where we stand in 2015.

Authors:  John Lisman
Journal:  Neuron       Date:  2015-05-20       Impact factor: 17.173

6.  Stable memory and computation in randomly rewiring neural networks.

Authors:  Daniel Acker; Suzanne Paradis; Paul Miller
Journal:  J Neurophysiol       Date:  2019-04-10       Impact factor: 2.714

7.  Category-selective phase coding in the superior temporal sulcus.

Authors:  Hjalmar K Turesson; Nikos K Logothetis; Kari L Hoffman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-06       Impact factor: 11.205

8.  Gamma frequency feedback inhibition accounts for key aspects of orientation selectivity in V1.

Authors:  John Lisman
Journal:  Network       Date:  2014 Mar-Jun       Impact factor: 1.273

9.  The input-output transformation of the hippocampal granule cells: from grid cells to place fields.

Authors:  Licurgo de Almeida; Marco Idiart; John E Lisman
Journal:  J Neurosci       Date:  2009-06-10       Impact factor: 6.167

Review 10.  The θ-γ neural code.

Authors:  John E Lisman; Ole Jensen
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

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