Literature DB >> 489798

The afferent connections and laminar distribution of cells in the cat striate cortex.

G H Henry, A R Harvey, J S Lund.   

Abstract

A laminar distribution of different functional cell types in the striate cortex of the cat is drawn up from the visual responses of single cells recorded in 64 electrode penetrations in 38 cats. In summary, S cells were found to be concentrated in laminae 4 and 6; SH cells in laminae 2, 3 and 4; C cells in laminae 5 and lower 3; B cells in laminae 3 and upper 5 and cells with non-oriented receptive fields in lamina 4. In addition, the nature of afferent innervation to striate neurons was derived from the latency of the orthodromic response to electrical stimulation in the optic chiasm and optic radiations in 19 cats. An analysis of latency values allowed the afferent innervation to a cell to be classed as belonging either to fast or slow conducting streams in the population of dLGN axons and also permitted a decision to be made on whether or not the afferent path passed directly to the cell. Direct afferent innervation from the dLGN was not found to be confined to a single class of striate neuron. Instead, examples of cells with S, SH, C, B and non-oriented receptive fields all had orthodromic latencies that met the requirement for direct innervation. Instances of cells with orthodromic latencies suggestive of indirect innervation were also found for most receptive field classes but these cells were encountered less frequently than those with a direct afferent input. It is argued that a variety of different cell types may act as first order neurons in the striate cortex and that cells occurring at later stages in the sequence of cortical processing may have been incompletely studied because they are more difficult to stimulate either visually or electrically.

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Year:  1979        PMID: 489798     DOI: 10.1002/cne.901870406

Source DB:  PubMed          Journal:  J Comp Neurol        ISSN: 0021-9967            Impact factor:   3.215


  28 in total

1.  Change of conduction velocity by regional myelination yields constant latency irrespective of distance between thalamus and cortex.

Authors:  Mahmoud Salami; Chiaki Itami; Tadaharu Tsumoto; Fumitaka Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-28       Impact factor: 11.205

2.  Receptive fields and response properties of neurons in layer 4 of ferret visual cortex.

Authors:  W Martin Usrey; Michael P Sceniak; Barbara Chapman
Journal:  J Neurophysiol       Date:  2003-02       Impact factor: 2.714

3.  A computational model of vertical signal propagation in the primary visual cortex.

Authors:  P Patton; E Thomas; R E Wyatt
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

4.  The length summation properties of layer VI cells in the visual cortex and hypercomplex cell end zone inhibition.

Authors:  K L Grieve; A M Sillito
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

5.  Identification of complex-cell intensive nonlinearities in a cascade model of cat visual cortex.

Authors:  R C Emerson; M J Korenberg; M C Citron
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

6.  Stereotypical bouton clustering of individual neurons in cat primary visual cortex.

Authors:  Tom Binzegger; Rodney J Douglas; Kevan A C Martin
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

7.  An intracellular analysis of the visual responses of neurones in cat visual cortex.

Authors:  R J Douglas; K A Martin; D Whitteridge
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

8.  A functional microcircuit for cat visual cortex.

Authors:  R J Douglas; K A Martin
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

9.  A model of striate response properties based on geniculate anisotropies.

Authors:  T R Vidyasagar
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

10.  Physiological studies on the feedback connection to the striate cortex from cortical areas 18 and 19 of the cat.

Authors:  J Bullier; M E McCourt; G H Henry
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

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