SINGLE NEURONS ARE DIFFERENTLY INVOLVED IN STIMULUS-SPECIFIC OSCILLATIONS IN CAT VISUAL-CORTEX

Citation
R. Eckhorn et A. Obermueller, SINGLE NEURONS ARE DIFFERENTLY INVOLVED IN STIMULUS-SPECIFIC OSCILLATIONS IN CAT VISUAL-CORTEX, Experimental Brain Research, 95(1), 1993, pp. 177-182
Citations number
18
Categorie Soggetti
Neurosciences
Journal title
ISSN journal
00144819
Volume
95
Issue
1
Year of publication
1993
Pages
177 - 182
Database
ISI
SICI code
0014-4819(1993)95:1<177:SNADII>2.0.ZU;2-R
Abstract
Synchronised oscillatory population events (35-80 Hz; 60-300 ms) can b e induced in the visual cortex of cats by specific visual stimulation. The oscillatory events are most prominent in local slow wave field po tentials (LFP) and multiple unit spikes (MUA). We investigated how and when single cortical neurons are involved in such oscillatory populat ion events. Simultaneous recordings of single cell spikes, LFP and MUA were made with up to seven microelectrodes. Three states of single ce ll participation in oscillations were distinguished in spike triggered averages of LFP or MUA from the same electrode: (1) Rhythmic states w ere characterised by the presence of rhythmicity in single cell spike patterns (35-80 Hz). These rhythms were correlated with LFP and MUA os cillations. (2) Lock-in states lacked rhythmic components in single ce ll spike patterns, while spikes were phase-coupled with LFP or MUA osc illations. (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 ''op timal'' to ''suboptimal'' for the generation of oscillations) often le d to systematic transitions between these states (from rhythmic to loc k-in to non-participation). Single cell spike coupling was generally a ssociated with negative peaks in LFP oscillations, irrespective of the cortical separation of single cell and population signals (0-6 mm). O ur results suggest that oscillatory cortical population activities are not only supported by local and distant neurons with rhythmic spike p atterns, but also by those with irregular patterns in which some spike s occur phase-locked to oscillatory events.