Literature DB >> 23616540

Functional heterogeneity in neighboring neurons of cat primary visual cortex in response to both artificial and natural stimuli.

Kevan A C Martin1, Sylvia Schröder.   

Abstract

Neurons in primary visual cortex of many mammals are clustered according to their preference to stimulus parameters such as orientation and spatial frequency. Nevertheless, responses to complex visual stimuli are highly heterogeneous between adjacent neurons. To investigate the relation between these observations, we recorded from pairs of neighboring neurons in area 17 of anesthetized cats in response to stimuli of differing complexity: sinusoidal drifting gratings, binary dense noise, and natural movies. Comparisons of the tuning curves revealed similar orientation and direction preferences for neighboring neurons, but large differences in preferred phase, direction selectivity, and tuning width of spatial frequency. No pair was similar across all tuning properties. The neurons' firing rates averaged across multiple stimulus repetitions (the "signal") were also compared. Binned between 10 and 200 ms, the correlation between these signals was close to zero in the median across all pairs for all stimulus classes. Signal correlations agreed poorly with differences in tuning properties, except for receptive field offset and relative modulation (i.e., the strength of phase modulation). Nonetheless, signal correlations for different stimulus classes were well correlated with each other, even for gratings and movies. Conversely, trial-to-trial fluctuations (termed "noise") were poorly correlated between neighboring neurons, suggesting low degrees of common input. In response to gratings and visual noise, signal and noise correlations were well correlated with each other, but less so for responses to movies. These findings have relevance for our understanding of the processing of natural stimuli in a functionally heterogeneous cortical network.

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Year:  2013        PMID: 23616540      PMCID: PMC6619576          DOI: 10.1523/JNEUROSCI.4071-12.2013

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


  29 in total

1.  Neurons in cat V1 show significant clustering by degree of tuning.

Authors:  Avi J Ziskind; Al A Emondi; Andrei V Kurgansky; Sergei P Rebrik; Kenneth D Miller
Journal:  J Neurophysiol       Date:  2015-02-04       Impact factor: 2.714

2.  Universal transition from unstructured to structured neural maps.

Authors:  Marvin Weigand; Fabio Sartori; Hermann Cuntz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-03       Impact factor: 11.205

3.  Early monocular defocus disrupts the normal development of receptive-field structure in V2 neurons of macaque monkeys.

Authors:  Xiaofeng Tao; Bin Zhang; Guofu Shen; Janice Wensveen; Earl L Smith; Shinji Nishimoto; Izumi Ohzawa; Yuzo M Chino
Journal:  J Neurosci       Date:  2014-10-08       Impact factor: 6.167

Review 4.  Correlations and Neuronal Population Information.

Authors:  Adam Kohn; Ruben Coen-Cagli; Ingmar Kanitscheider; Alexandre Pouget
Journal:  Annu Rev Neurosci       Date:  2016-04-21       Impact factor: 12.449

5.  Phase Locking of Multiple Single Neurons to the Local Field Potential in Cat V1.

Authors:  Kevan A C Martin; Sylvia Schröder
Journal:  J Neurosci       Date:  2016-02-24       Impact factor: 6.167

6.  Spiking Noise and Information Density of Neurons in Visual Area V2 of Infant Monkeys.

Authors:  Ye Wang; Bin Zhang; Xiaofeng Tao; Guofu Shen; Earl L Smith; Yuzo M Chino
Journal:  J Neurosci       Date:  2019-05-30       Impact factor: 6.167

7.  Accounting for Biases in the Estimation of Neuronal Signal Correlation.

Authors:  Dean A Pospisil; Wyeth Bair
Journal:  J Neurosci       Date:  2021-05-17       Impact factor: 6.167

8.  Superficial layer pyramidal cells communicate heterogeneously between multiple functional domains of cat primary visual cortex.

Authors:  Kevan A C Martin; Stephan Roth; Elisha S Rusch
Journal:  Nat Commun       Date:  2014-10-24       Impact factor: 14.919

Review 9.  Local versus global scales of organization in auditory cortex.

Authors:  Patrick O Kanold; Israel Nelken; Daniel B Polley
Journal:  Trends Neurosci       Date:  2014-07-04       Impact factor: 13.837

Review 10.  Neural population coding: combining insights from microscopic and mass signals.

Authors:  Stefano Panzeri; Jakob H Macke; Joachim Gross; Christoph Kayser
Journal:  Trends Cogn Sci       Date:  2015-02-07       Impact factor: 24.482

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