Literature DB >> 1191716

A theory for the development of feature detecting cells in visual cortex.

M M Nass, L N Cooper.   

Abstract

Mesh:

Year:  1975        PMID: 1191716     DOI: 10.1007/bf00319777

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


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  22 in total

1.  RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Neurophysiol       Date:  1965-03       Impact factor: 2.714

2.  Shape and arrangement of columns in cat's striate cortex.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1963-03       Impact factor: 5.182

3.  The representation of the visual field on the cerebral cortex in monkeys.

Authors:  P M DANIEL; D WHITTERIDGE
Journal:  J Physiol       Date:  1961-12       Impact factor: 5.182

4.  Visual experience without lines: effect on developing cortical neurons.

Authors:  J D Pettigrew; R D Freeman
Journal:  Science       Date:  1973-11-09       Impact factor: 47.728

5.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

6.  Modification of the distribution of receptive field orientation in cats by selective visual exposure during development.

Authors:  H V Hirsch; D N Spinelli
Journal:  Exp Brain Res       Date:  1971-06-29       Impact factor: 1.972

7.  Lack of specificity of neurones in the visual cortex of young kittens.

Authors:  H B Barlow; J D Pettigrew
Journal:  J Physiol       Date:  1971-10       Impact factor: 5.182

8.  Binocular interaction on single units in cat striate cortex: simultaneous stimulation by single moving slit with receptive fields in correspondence.

Authors:  J D Pettigrew; T Nikara; P O Bishop
Journal:  Exp Brain Res       Date:  1968       Impact factor: 1.972

9.  Comparison of the effects of unilateral and bilateral eye closure on cortical unit responses in kittens.

Authors:  T N Wiesel; D H Hubel
Journal:  J Neurophysiol       Date:  1965-11       Impact factor: 2.714

10.  Dynamics of encoding in a population of neurons.

Authors:  B W Knight
Journal:  J Gen Physiol       Date:  1972-06       Impact factor: 4.086

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  27 in total

1.  A theory for the acquisition and loss of neuron specificity in visual cortex.

Authors:  L N Cooper; F Liberman; E Oja
Journal:  Biol Cybern       Date:  1979-06-29       Impact factor: 2.086

2.  Learning-induced synchronization and plasticity of a developing neural network.

Authors:  T C Chao; C M Chen
Journal:  J Comput Neurosci       Date:  2005-12       Impact factor: 1.621

3.  Dynamic searching in the brain.

Authors:  Eduardo Mizraji; Andrés Pomi; Juan C Valle-Lisboa
Journal:  Cogn Neurodyn       Date:  2009-06-03       Impact factor: 5.082

4.  Neuron learning to brain organization.

Authors:  L N Cooper
Journal:  Cell Biophys       Date:  1986-12

Review 5.  A synaptic basis for memory storage in the cerebral cortex.

Authors:  M F Bear
Journal:  Proc Natl Acad Sci U S A       Date:  1996-11-26       Impact factor: 11.205

6.  Organization of receptive fields in networks with Hebbian learning: the connection between synaptic and phenomenological models.

Authors:  H Shouval; L N Cooper
Journal:  Biol Cybern       Date:  1996-05       Impact factor: 2.086

7.  A model of visual development.

Authors:  T Nagano
Journal:  Biol Cybern       Date:  1977-03-31       Impact factor: 2.086

8.  The retinal ganglion cell mosaic defines orientation columns in striate cortex.

Authors:  R E Soodak
Journal:  Proc Natl Acad Sci U S A       Date:  1987-06       Impact factor: 11.205

9.  Development of Specificity in the Cat Visual Cortex.

Authors:  Rafael Pérez; Leon Glass; Robert Shlaer
Journal:  J Math Biol       Date:  2017-03-15       Impact factor: 2.259

Review 10.  The BCM theory of synapse modification at 30: interaction of theory with experiment.

Authors:  Leon N Cooper; Mark F Bear
Journal:  Nat Rev Neurosci       Date:  2012-11       Impact factor: 34.870

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