Literature DB >> 8283219

Spatiotemporal firing patterns in the frontal cortex of behaving monkeys.

M Abeles1, H Bergman, E Margalit, E Vaadia.   

Abstract

1. Activity of up to 10 single units was recorded in parallel from frontal areas of behaving monkeys. 2. Spatiotemporal firing patterns were revealed by a method that detects all excessively repeating patterns regardless of their complexity or single-unit composition. 3. Excess of repeating patterns was found in 30-60% of the cases examined when timing jitter of 1-3 ms was allowed. 4. An independent test refuted the hypothesis that these patterns represented chance events. 5. In a given behavioral condition there were usually many different patterns, each repeating several times, and not one (or a few) pattern repeating many times. 6. In 13 out of 20 cases, when a single unit elevated its firing rate in association with an external event beyond 40/s, most of the spikes within that period were associated with excessively repeating spatiotemporal patterns. 7. Of 157 types of patterns whose excess was most marked, 107 were composed of spikes from one single unit, 45 of the patterns contained spikes from two single units, and only one was composed of spikes from three different single units. 8. These properties suggest that the patterns were generated by reverberations in a synfire mode within self-exciting cell assemblies.

Mesh:

Year:  1993        PMID: 8283219     DOI: 10.1152/jn.1993.70.4.1629

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  101 in total

1.  Studies of the functional characteristics of central neurons of the brain in a behavioral experiment.

Authors:  B F Tolkunov; A A Orlov; S V Afanas'ev
Journal:  Neurosci Behav Physiol       Date:  1999 Nov-Dec

2.  Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

3.  Coding specificity in cortical microcircuits: a multiple-electrode analysis of primate prefrontal cortex.

Authors:  C Constantinidis; M N Franowicz; P S Goldman-Rakic
Journal:  J Neurosci       Date:  2001-05-15       Impact factor: 6.167

4.  Tuning neocortical pyramidal neurons between integrators and coincidence detectors.

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5.  Synergy, redundancy, and independence in population codes.

Authors:  Elad Schneidman; William Bialek; Michael J Berry
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

Review 6.  The temporal resolution of neural codes: does response latency have a unique role?

Authors:  M W Oram; D Xiao; B Dritschel; K R Payne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

7.  Temporal characteristics of the predictive synchronous firing modeled by spike-timing-dependent plasticity.

Authors:  Katsunori Kitano; Tomoki Fukai
Journal:  Learn Mem       Date:  2004 May-Jun       Impact factor: 2.460

Review 8.  Conditional modeling and the jitter method of spike resampling.

Authors:  Asohan Amarasingham; Matthew T Harrison; Nicholas G Hatsopoulos; Stuart Geman
Journal:  J Neurophysiol       Date:  2011-10-26       Impact factor: 2.714

9.  Higher-order interactions characterized in cortical activity.

Authors:  Shan Yu; Hongdian Yang; Hiroyuki Nakahara; Gustavo S Santos; Danko Nikolić; Dietmar Plenz
Journal:  J Neurosci       Date:  2011-11-30       Impact factor: 6.167

10.  Rapid sequences of population activity patterns dynamically encode task-critical spatial information in parietal cortex.

Authors:  David A Crowe; Bruno B Averbeck; Matthew V Chafee
Journal:  J Neurosci       Date:  2010-09-01       Impact factor: 6.167

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