Literature DB >> 10762373

Fast oscillations display sharper orientation tuning than slower components of the same recordings in striate cortex of the awake monkey.

A Frien1, R Eckhorn, R Bauer, T Woelbern, A Gabriel.   

Abstract

We wanted to know whether fast oscillations ( approximately 30-80 Hz) in striate cortex of awake monkeys show sharper orientation selectivity than (i) slower components, including spike rate modulations, and (ii) broad-band signals of the same recordings. As fast oscillations are probably of cortical origin this may further clarify whether cortical network mechanisms are substantially involved in generating orientation selectivity. We recorded multi unit activity (MUA) and local field potentials (LFP, 1-140 Hz) by the same microelectrodes from upper layers of macaque striate cortex during visual stimulation with grating textures of different orientations. An orientation index (OI) was derived from the cortical responses in three frequency ranges (low, 0-11.7 Hz; medium, 11.7-31.3 Hz; and fast oscillations, 31.3-62.5 Hz) and for the broad-band LFP and MUA power. (i) Both LFP and MUA fast oscillations reveal a higher orientation index than signal components in the low and medium frequency ranges. (ii) For MUA the orientation index was significantly higher with fast oscillations than for the lower frequency ranges and the initial broad-band transient responses. (iii) LFPs show a significantly higher orientation index only for the fast oscillations during sustained activation compared with their broad-band power during the transient responses. Thus, our main result is the sharper orientation tuning of fast oscillations in spike activities of local populations compared with slower components of the same broad-band recordings. As fast oscillations occur synchronized in the awake monkey's striate cortex we assume that they have enhanced probability of activating successive stages of visual processing and hence contribute to the perception of orientation.

Mesh:

Year:  2000        PMID: 10762373     DOI: 10.1046/j.1460-9568.2000.00025.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  48 in total

1.  Cooperative synchronized assemblies enhance orientation discrimination.

Authors:  Jason M Samonds; John D Allison; Heather A Brown; A B Bonds
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-19       Impact factor: 11.205

2.  Properties of spike train spectra in two parietal reach areas.

Authors:  C A Buneo; M R Jarvis; A P Batista; R A Andersen
Journal:  Exp Brain Res       Date:  2003-08-28       Impact factor: 1.972

3.  Orientation selectivity and noise correlation in awake monkey area V1 are modulated by the gamma cycle.

Authors:  Thilo Womelsdorf; Bruss Lima; Martin Vinck; Robert Oostenveld; Wolf Singer; Sergio Neuenschwander; Pascal Fries
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

4.  Frequency-dependent attentional modulation of local field potential signals in macaque area MT.

Authors:  Paul S Khayat; Robert Niebergall; Julio C Martinez-Trujillo
Journal:  J Neurosci       Date:  2010-05-19       Impact factor: 6.167

5.  Sensory-driven and spontaneous gamma oscillations engage distinct cortical circuitry.

Authors:  Cristin G Welle; Diego Contreras
Journal:  J Neurophysiol       Date:  2015-12-30       Impact factor: 2.714

6.  Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronization.

Authors:  Christopher M Lewis; Conrado A Bosman; Thilo Womelsdorf; Pascal Fries
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

7.  The frequency of visually induced γ-band oscillations depends on the size of early human visual cortex.

Authors:  D Samuel Schwarzkopf; David J Robertson; Chen Song; Gareth R Barnes; Geraint Rees
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

8.  Functional role of induced gamma oscillatory responses in processing noxious and innocuous sensory events in humans.

Authors:  C C Liu; J H Chien; Y W Chang; J H Kim; W S Anderson; F A Lenz
Journal:  Neuroscience       Date:  2015-09-25       Impact factor: 3.590

9.  Local origin of field potentials in visual cortex.

Authors:  Steffen Katzner; Ian Nauhaus; Andrea Benucci; Vincent Bonin; Dario L Ringach; Matteo Carandini
Journal:  Neuron       Date:  2009-01-15       Impact factor: 17.173

10.  Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information.

Authors:  Andrei Belitski; Arthur Gretton; Cesare Magri; Yusuke Murayama; Marcelo A Montemurro; Nikos K Logothetis; Stefano Panzeri
Journal:  J Neurosci       Date:  2008-05-28       Impact factor: 6.167

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