Literature DB >> 8768391

Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey.

W Bair1, C Koch.   

Abstract

How reliably do action potentials in cortical neurons encode information about a visual stimulus? Most physiological studies do not weigh the occurrences of particular action potentials as significant but treat them only as reflections of average neuronal excitation. We report that single neurons recorded in a previous study by Newsome et al. (1989; see also Britten et al. 1992) from cortical area MT in the behaving monkey respond to dynamic and unpredictable motion stimuli with a markedly reproducible temporal modulation that is precise to a few milliseconds. This temporal modulation is stimulus dependent, being present for highly dynamic random motion but absent when the stimulus translates rigidly.

Mesh:

Year:  1996        PMID: 8768391     DOI: 10.1162/neco.1996.8.6.1185

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  99 in total

1.  Neuronal interactions improve cortical population coding of movement direction.

Authors:  E M Maynard; N G Hatsopoulos; C L Ojakangas; B D Acuna; J N Sanes; R A Normann; J P Donoghue
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

2.  Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

3.  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

4.  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

5.  Postsynaptic variability of firing in rat cortical neurons: the roles of input synchronization and synaptic NMDA receptor conductance.

Authors:  A Harsch; H P Robinson
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

6.  Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons.

Authors:  G Svirskis; J Rinzel
Journal:  Biophys J       Date:  2000-08       Impact factor: 4.033

7.  The transient precision of integrate and fire neurons: effect of background activity and noise.

Authors:  M C Van Rossum
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

8.  The timing of response onset and offset in macaque visual neurons.

Authors:  Wyeth Bair; James R Cavanaugh; Matthew A Smith; J Anthony Movshon
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

9.  Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study.

Authors:  J Kretzberg; M Egelhaaf; A K Warzecha
Journal:  J Comput Neurosci       Date:  2001 Jan-Feb       Impact factor: 1.621

10.  Noise, not stimulus entropy, determines neural information rate.

Authors:  Alexander Borst
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

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