Literature DB >> 8405251

Single neurons are differently involved in stimulus-specific oscillations in cat visual cortex.

R Eckhorn1, A Obermueller.   

Abstract

Synchronised oscillatory population events (35-80 Hz; 60-300 ms) can be induced in the visual cortex of cats by specific visual stimulation. The oscillatory events are most prominent in local slow wave field potentials (LFP) and multiple unit spikes (MUA). We investigated how and when single cortical neurons are involved in such oscillatory population events. Simultaneous recordings of single cell spikes, LFP and MUA were made with up to seven microelectrodes. Three states of single cell participation in oscillations were distinguished in spike triggered averages of LFP or MUA from the same electrode: (1) Rhythmic states were characterised by the presence of rhythmicity in single cell spike patterns (35-80 Hz). These rhythms were correlated with LFP and MUA oscillations. (2) Lock-in states lacked rhythmic components in single cell spike patterns, while spikes were phase-coupled with LFP or MUA oscillations. (3) During non-participation states LFP or MUA oscillations were present, but single cell spike trains were neither rhythmic nor phase coupled to these oscillations. Stimulus manipulations (from "optimal" to "suboptimal" for the generation of oscillations) often led to systematic transitions between these states (from rhythmic to lock-in to non-participation). Single cell spike coupling was generally associated with negative peaks in LFP oscillations, irrespective of the cortical separation of single cell and population signals (0-6 mm). Our results suggest that oscillatory cortical population activities are not only supported by local and distant neurons with rhythmic spike patterns, but also by those with irregular patterns in which some spikes occur phase-locked to oscillatory events.

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Year:  1993        PMID: 8405251     DOI: 10.1007/bf00229667

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  13 in total

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Journal:  Eur J Neurosci       Date:  1990       Impact factor: 3.386

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Journal:  J Physiol       Date:  1962-01       Impact factor: 5.182

3.  Synchronization of oscillatory neuronal responses between striate and extrastriate visual cortical areas of the cat.

Authors:  A K Engel; A K Kreiter; P König; W Singer
Journal:  Proc Natl Acad Sci U S A       Date:  1991-07-15       Impact factor: 11.205

Review 4.  Neuronal assemblies.

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Journal:  IEEE Trans Biomed Eng       Date:  1989-01       Impact factor: 4.538

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Authors:  B Jagadeesh; C M Gray; D Ferster
Journal:  Science       Date:  1992-07-24       Impact factor: 47.728

6.  A functional microcircuit for cat visual cortex.

Authors:  R J Douglas; K A Martin
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

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Journal:  Nature       Date:  1989-03-23       Impact factor: 49.962

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Journal:  Kidney Int       Date:  1974-05       Impact factor: 10.612

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Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

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  9 in total

1.  Sorting functional classes of evoked potentials by wavelets.

Authors:  Marek Wypych; Ewa Kublik; Piotr Wojdyłło; Andrzej Wróbel
Journal:  Neuroinformatics       Date:  2003

2.  Inhibition of sustained gamma oscillations (35-80 Hz) by fast transient responses in cat visual cortex.

Authors:  W Kruse; R Eckhorn
Journal:  Proc Natl Acad Sci U S A       Date:  1996-06-11       Impact factor: 11.205

3.  Neural connectivity only accounts for a small part of neural correlation in auditory cortex.

Authors:  J J Eggermont; G M Smith
Journal:  Exp Brain Res       Date:  1996-08       Impact factor: 1.972

4.  Synchronization of neuronal activity during stimulus expectation in a direction discrimination task.

Authors:  S C de Oliveira; A Thiele; K P Hoffmann
Journal:  J Neurosci       Date:  1997-12-01       Impact factor: 6.167

5.  Human gamma band activity and perception of a gestalt.

Authors:  A Keil; M M Müller; W J Ray; T Gruber; T Elbert
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

6.  Sensory representation of visual stimuli in the coupling of low-frequency phase to spike times.

Authors:  Mohammad Zarei; Mehran Jahed; Mohsen Parto Dezfouli; Mohammad Reza Daliri
Journal:  Brain Struct Funct       Date:  2022-02-01       Impact factor: 3.270

7.  The local field potential reflects surplus spike synchrony.

Authors:  Michael Denker; Sébastien Roux; Henrik Lindén; Markus Diesmann; Alexa Riehle; Sonja Grün
Journal:  Cereb Cortex       Date:  2011-04-20       Impact factor: 5.357

8.  Stimulus-Specific Adaptation Decreases the Coupling of Spikes to LFP Phase.

Authors:  Mohsen Parto Dezfouli; Mohammad Zarei; Mehran Jahed; Mohammad Reza Daliri
Journal:  Front Neural Circuits       Date:  2019-07-03       Impact factor: 3.492

9.  Regulating Cortical Oscillations in an Inhibition-Stabilized Network.

Authors:  Monika P Jadi; Terrence J Sejnowski
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2014-04-21       Impact factor: 10.961

  9 in total

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