Literature DB >> 12466218

Understanding layer 4 of the cortical circuit: a model based on cat V1.

Kenneth D Miller1.   

Abstract

This paper reviews theoretical and experimental results on the processing of layer 4, the input-recipient layer, of cat primary visual cortex (V1). A wide range of experimental data can be understood from a model in which response tuning of layer 4 cells is largely determined by a local interplay of feedforward excitation (from thalamus) and feedforward inhibition (from layer 4 inhibitory interneurons driven by thalamus). Feedforward inhibition dominates excitation, inherits its tuning from the thalamic input and sharpens the tuning of excitatory cells. At least a strong component of the feedforward inhibition received by a cell is spatially opponent to the excitation it receives, meaning that inhibition is driven by dark in regions of the visual field in which excitation is driven by light, and vice versa. The idea of opponent inhibition can be generalized to mean inhibition driven by input patterns that are strongly anti-correlated with the patterns that excite a cell. This paper argues that dominant feedforward opponent inhibition may be a general principle of cortical layer 4. This leads to the suggestion that the properties that show columnar organization--invariance across the vertical depth of cortex--may be properties that are shared by 'opposite' (anticorrelated) stimulus pairs. This contrasts with the more common idea that a column represents a set of cells that all share similar stimulus preferences.

Mesh:

Year:  2003        PMID: 12466218     DOI: 10.1093/cercor/13.1.73

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  28 in total

1.  Dynamics of precise spike timing in primary auditory cortex.

Authors:  Mounya Elhilali; Jonathan B Fritz; David J Klein; Jonathan Z Simon; Shihab A Shamma
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2.  A shrewd insight for vision.

Authors:  Farran Briggs; W Martin Usrey
Journal:  Nat Neurosci       Date:  2004-08       Impact factor: 24.884

3.  Correlation of local and global orientation and spatial frequency tuning in macaque V1.

Authors:  Dajun Xing; Dario L Ringach; Robert Shapley; Michael J Hawken
Journal:  J Physiol       Date:  2004-04-16       Impact factor: 5.182

4.  Effects of electrical coupling among layer 4 inhibitory interneurons on contrast-invariant orientation tuning.

Authors:  Pierre A Fortier
Journal:  Exp Brain Res       Date:  2010-11-11       Impact factor: 1.972

5.  Population receptive fields of ON and OFF thalamic inputs to an orientation column in visual cortex.

Authors:  Jianzhong Jin; Yushi Wang; Harvey A Swadlow; Jose M Alonso
Journal:  Nat Neurosci       Date:  2011-01-09       Impact factor: 24.884

6.  Stimulus feature selectivity in excitatory and inhibitory neurons in primary visual cortex.

Authors:  Jessica A Cardin; Larry A Palmer; Diego Contreras
Journal:  J Neurosci       Date:  2007-09-26       Impact factor: 6.167

7.  Spectrotemporal processing differences between auditory cortical fast-spiking and regular-spiking neurons.

Authors:  Craig A Atencio; Christoph E Schreiner
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

8.  Dynamic causal models and autopoietic systems.

Authors:  Olivier David
Journal:  Biol Res       Date:  2008-05-28       Impact factor: 5.612

9.  Hierarchical computation in the canonical auditory cortical circuit.

Authors:  Craig A Atencio; Tatyana O Sharpee; Christoph E Schreiner
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-16       Impact factor: 11.205

10.  Influence of coherence between multiple cortical columns on alpha rhythm: a computational modeling study.

Authors:  Yasushi Naruse; Ayumu Matani; Yoichi Miyawaki; Masato Okada
Journal:  Hum Brain Mapp       Date:  2010-05       Impact factor: 5.038

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