Literature DB >> 106072

Anatomical organization of the primary visual cortex (area 17) of the cat. A comparison with area 17 of the macaque monkey.

J S Lund, G H Henry, C L MacQueen, A R Harvey.   

Abstract

Golgi and axonal transport techniques have been used to examine the organization of neurons within primary visual cortex, area 17, of the cat. This organization has been compared to that of the primate cortical area 17 as described in previous studies and it is discussed in relationship to the distribution of afferents from the dorsal lateral geniculate nucleus (dLGN). The visual cortex of the cat and monkey show strong similarities in the laminar positions of neurons projecting extrinsically and also in the restriction of spiny stellate neurons to a central lamina (lamina 4) receiving input from the dLGN. However, lamina 4B in the monkey, which contains spiny stellate neurons but does not receive direct input from the dLGN, has no direct counterpart in cat area 17. Axon projections of spiny stellate neurons in the other divisions of lamina 4 differ in cat and monkey: the small, closely packed neurons in the lowermost division of lamina 4 (4B in the cat, 4Cbeta in the monkey) project chiefly within lamina 4 in the cat whereas in the monkey they have a strong projection to lamina 3. In the cat, spiny stellate neurons of lamina 4A project upon lamina 3 whereas in the monkey those in the apparently equivalent zone, 4Calpha, project upon lamina 4B. Most non-spiny stellate neurons examined have precisely organized interlaminar axonal projections which differ from the axon trajectories of neighboring spiny neurons.

Mesh:

Year:  1979        PMID: 106072     DOI: 10.1002/cne.901840402

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


  78 in total

1.  Diverse types of interneurons generate thalamus-evoked feedforward inhibition in the mouse barrel cortex.

Authors:  J T Porter; C K Johnson; A Agmon
Journal:  J Neurosci       Date:  2001-04-15       Impact factor: 6.167

2.  Properties of horizontal and vertical inputs to pyramidal cells in the superficial layers of the cat visual cortex.

Authors:  Y Yoshimura; H Sato; K Imamura; Y Watanabe
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

3.  Synaptic physiology of the flow of information in the cat's visual cortex in vivo.

Authors:  Judith A Hirsch; Luis M Martinez; José-Manuel Alonso; Komal Desai; Cinthi Pillai; Carhine Pierre
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

4.  Laminar processing of stimulus orientation in cat visual cortex.

Authors:  Luis M Martinez; José-Manuel Alonso; R Clay Reid; Judith A Hirsch
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

5.  Excitatory inputs to spiny cells in layers 4 and 6 of cat striate cortex.

Authors:  N J Bannister; J C Nelson; J J B Jack
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

6.  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

7.  Primary visual cortex shows laminar-specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity.

Authors:  Xiangmin Xu; Nicholas D Olivas; Taruna Ikrar; Tao Peng; Todd C Holmes; Qing Nie; Yulin Shi
Journal:  J Physiol       Date:  2016-03-11       Impact factor: 5.182

8.  Receptive field structure varies with layer in the primary visual cortex.

Authors:  Luis M Martinez; Qingbo Wang; R Clay Reid; Cinthi Pillai; José-Mañuel Alonso; Friedrich T Sommer; Judith A Hirsch
Journal:  Nat Neurosci       Date:  2005-02-13       Impact factor: 24.884

9.  Stimulation of non-classical receptive field enhances orientation selectivity in the cat.

Authors:  Gang Chen; Yang Dan; Chao-Yi Li
Journal:  J Physiol       Date:  2005-01-27       Impact factor: 5.182

10.  Layer-specific intracortical connectivity revealed with diffusion MRI.

Authors:  Christoph W U Leuze; Alfred Anwander; Pierre-Louis Bazin; Bibek Dhital; Carsten Stüber; Katja Reimann; Stefan Geyer; Robert Turner
Journal:  Cereb Cortex       Date:  2012-10-25       Impact factor: 5.357

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