Literature DB >> 8182445

Power spectrum analysis of bursting cells in area MT in the behaving monkey.

W Bair1, C Koch, W Newsome, K Britten.   

Abstract

It is widely held that visual cortical neurons encode information primarily in their mean firing rates. Some proposals, however, emphasize the information potentially available in the temporal structure of spike trains (Optican and Richmond, 1987; Bialek et al., 1991), in particular with respect to stimulus-related synchronized oscillations in the 30-70 Hz range (Eckhorn et al., 1988; Gray et al., 1989; Kreiter and Singer, 1992) as well as via bursting cells (Cattaneo et al., 1981a; Bonds, 1992). We investigate the temporal fine structure of spike trains recorded in extrastriate area MT of the trained macaque monkey, a region that plays a major role in processing motion information. The data were recorded while the monkey performed a near-threshold direction discrimination task so that both physiological and psychophysical data could be obtained on the same set of trials (Britten et al., 1992). We identify bursting cells and quantify their properties, in particular in relation to the behavior of the animal. We compute the power spectrum and the distribution of interspike intervals (ISIs) associated with individual spike trains from 212 cells, averaging these quantities across similar trials. (1) About 33% of the cells have a relatively flat power spectrum with a dip at low temporal frequencies. We analytically derive the power spectrum of a Poisson process with refractory period and show that it matches the observed spectrum of these cells. (2) About 62% of the cells have a peak in the 20-60 Hz frequency band. In about 10% of all cells, this peak is at least twice the height of its base. The presence of such a peak strongly correlates with a tendency of the cell to respond in bursts, that is, two to four spikes within 2-8 msec. For 93% of cells, the shape of the power spectrum did not change dramatically with stimulus conditions. (3) Both the ISI distribution and the power spectrum of the vast majority of bursting cells are compatible with the notion that these cells fire Poisson-distributed bursts, with a burst-related refractory period. Thus, for our stimulus conditions, no explicitly oscillating neuronal process is required to yield a peak in the power spectrum. (4) We found no statistically significant relationship between the peak in the power spectrum and psychophysical measures of the monkeys' performance on the direction discrimination task.(ABSTRACT TRUNCATED AT 400 WORDS)

Mesh:

Year:  1994        PMID: 8182445      PMCID: PMC6577471     

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


  71 in total

1.  Ionic mechanisms underlying repetitive high-frequency burst firing in supragranular cortical neurons.

Authors:  J C Brumberg; L G Nowak; D A McCormick
Journal:  J Neurosci       Date:  2000-07-01       Impact factor: 6.167

2.  Correlated firing in macaque visual area MT: time scales and relationship to behavior.

Authors:  W Bair; E Zohary; W T Newsome
Journal:  J Neurosci       Date:  2001-03-01       Impact factor: 6.167

3.  Long-range cortical synchronization without concomitant oscillations in the somatosensory system of anesthetized cats.

Authors:  S A Roy; S P Dear; K D Alloway
Journal:  J Neurosci       Date:  2001-03-01       Impact factor: 6.167

4.  Bursting neurons signal input slope.

Authors:  Adam Kepecs; Xiao-Jing Wang; John Lisman
Journal:  J Neurosci       Date:  2002-10-15       Impact factor: 6.167

5.  Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit.

Authors:  Gilad Silberberg; Caizhi Wu; Henry Markram
Journal:  J Physiol       Date:  2004-02-20       Impact factor: 5.182

6.  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

7.  Differential involvement of excitatory and inhibitory neurons of cat motor cortex in coincident spike activity related to behavioral context.

Authors:  David Putrino; Emery N Brown; Frank L Mastaglia; Soumya Ghosh
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

8.  Generation of synthetic spike trains with defined pairwise correlations.

Authors:  Ernst Niebur
Journal:  Neural Comput       Date:  2007-07       Impact factor: 2.026

Review 9.  Neural networks a century after Cajal.

Authors:  Walter J Jermakowicz; Vivien A Casagrande
Journal:  Brain Res Rev       Date:  2007-07-13

10.  Beyond Poisson: increased spike-time regularity across primate parietal cortex.

Authors:  Gaby Maimon; John A Assad
Journal:  Neuron       Date:  2009-05-14       Impact factor: 17.173

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