Literature DB >> 2213123

Temporal encoding of two-dimensional patterns by single units in primate primary visual cortex. II. Information transmission.

B J Richmond1, L M Optican.   

Abstract

1. Previously, we studied how picture information was processed by neurons in inferior temporal cortex. We found that responses varying in both response strength and temporal waveform carried information about briefly flashed stationary black-and-white patterns. Now, we have applied that same paradigm to the study of striate cortical neurons. 2. In this approach the responses to a set of basic black and white pictures were quantified through use of a set of basic waveforms, the principal components (extracted from all the responses of each neuron). We found that the first principal component, which corresponds to the response strength, and others, which correspond to different basic temporal activity patterns, were significantly related to the stimuli, i.e., the stimulus drove both the response strength and its temporal pattern. 3. Our previous study had shown that, when information theory was used to quantify the stimulus-response relation, inferior temporal neurons convey over twice as much information in a response code that includes temporal modulation as in a response code that includes only the response strength. This study shows that striate cortical neurons also carry twice as much information in a temporal code as in a response strength code. Thus single visual neurons at both ends of a cortical processing chain for visual pattern use a multidimensional temporal code to carry stimulus-related information. 4. These results support our multiplex-filter hypothesis, which states that single visual system neurons can be regarded as several simultaneously active parallel channels, each of which conveys independent information about the stimulus.

Mesh:

Year:  1990        PMID: 2213123     DOI: 10.1152/jn.1990.64.2.370

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


  19 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.  Interspike intervals, receptive fields, and information encoding in primary visual cortex.

Authors:  D S Reich; F Mechler; K P Purpura; J D Victor
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

3.  Periodicity and firing rate as candidate neural codes for the frequency of vibrotactile stimuli.

Authors:  E Salinas; A Hernandez; A Zainos; R Romo
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

4.  Consistency of encoding in monkey visual cortex.

Authors:  M C Wiener; M W Oram; Z Liu; B J Richmond
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

Review 5.  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

6.  Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific.

Authors:  Anthony Stigliani; Kevin S Weiner; Kalanit Grill-Spector
Journal:  J Neurosci       Date:  2015-09-09       Impact factor: 6.167

7.  Dynamic changes in the tuning of striate neurons to the shapes of cross-shaped figures.

Authors:  D Yu Tsutskiridze; N A Lazareva; I A Shevelev; R V Novikova; A S Tikhomirov; G A Sharaev
Journal:  Neurosci Behav Physiol       Date:  2005-05

8.  Unbiased measures of transmitted information and channel capacity from multivariate neuronal data.

Authors:  L M Optican; T J Gawne; B J Richmond; P J Joseph
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

9.  Decoding cortical neuronal signals: network models, information estimation and spatial tuning.

Authors:  T W Kjaer; J A Hertz; B J Richmond
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

10.  Robust temporal coding of contrast by V1 neurons for transient but not for steady-state stimuli.

Authors:  F Mechler; J D Victor; K P Purpura; R Shapley
Journal:  J Neurosci       Date:  1998-08-15       Impact factor: 6.167

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