Literature DB >> 1177006

Organization of cat striate cortex: a correlation of receptive-field properties with afferent and efferent connections.

W Singer, F Tretter, M Cynader.   

Abstract

The purposes of this study were 1) to relate the receptive-field characteristics of area 17 cells to their afferent and efferent connections, and 2) to obtain quantitative data from area 17 neurons for later comparison with area 18 cells. Intra- and extracellular recordings were obtained in paralyzed preparations which were anesthetized with nitrous oxide. The connectivities of the recorded cells were determined from responses to electrical stimulation of afferent and efferent pathways. In parallel to the classification of units as simple and complex cells, the receptive fields were grouped in four classes according to the spatial arrangement of on- and off-areas; class I, fields with exclusive on- or off-areas; class II, fields with spatially separate on- and off-areas; class III, fields with mixed on-off areas; class IV, fields which could not be mapped with stationary stimuli. The results from electrical stimulation suggest two major classes of cells: cells in the first group are driven mainly or exclusively by LGN afferents. They rarely receive additional excitation from intrinsic or callosal afferents and rarely possess corticofugal axons. Cells in the second group receive either converging inputs from LGN afferents and further intrinsic afferents or only from intrinsic afferents. They frequently received additional input from callosum and from recurrent collaterals of corticofugal axons. They project subcortically more often than cells in the first group. Cells in both groups can be driven either by X- or Y-type afferents. Cells in the first group have mainly class I and class II fields or simple fields, whereas the neurons in the second group have mainly class III and class IV fields or complex fields. Thus, simple and complex cells differ in their connectivity patterns, but the discriminative parameter is neither the selective connection to the X- or the Y-system nor, in a strict sense, the synaptic distance from subcortical input. From the combined consideration of receptive-field properties and connectivity patterns it is concluded that class I and class II cells or simple cells are concerned mainly with the primary analysis of subcortical activity, whereas class III and class IV cells or complex cells perform a correlative analysis between highly convergent activity from extrinsic and intrinsic afferents.

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Year:  1975        PMID: 1177006     DOI: 10.1152/jn.1975.38.5.1080

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  68 in total

Review 1.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

2.  Mechanisms of direction selectivity in cat primary visual cortex as revealed by visual adaptation.

Authors:  Nicholas J Priebe; Ilan Lampl; David Ferster
Journal:  J Neurophysiol       Date:  2010-08-25       Impact factor: 2.714

3.  Prominent excitatory pathways in the cat visual cortex (A 17 and A 18): a current source density analysis of electrically evoked potentials.

Authors:  U Mitzdorf; W Singer
Journal:  Exp Brain Res       Date:  1978-11-15       Impact factor: 1.972

4.  'Simplification' of responses of complex cells in cat striate cortex: suppressive surrounds and 'feedback' inactivation.

Authors:  Cedric Bardy; Jin Yu Huang; Chun Wang; Thomas FitzGibbon; Bogdan Dreher
Journal:  J Physiol       Date:  2006-05-18       Impact factor: 5.182

5.  Lack of orientation and direction selectivity in a subgroup of fast-spiking inhibitory interneurons: cellular and synaptic mechanisms and comparison with other electrophysiological cell types.

Authors:  Lionel G Nowak; Maria V Sanchez-Vives; David A McCormick
Journal:  Cereb Cortex       Date:  2007-08-23       Impact factor: 5.357

6.  A study of binocular convergence in cat visual cortex neurons.

Authors:  M Ito; D Sanides; O D Creutzfeldt
Journal:  Exp Brain Res       Date:  1977-05-23       Impact factor: 1.972

7.  Unusually large receptive fields in cats with restricted visual experience.

Authors:  W Singer; F Tretter
Journal:  Exp Brain Res       Date:  1976-09-24       Impact factor: 1.972

8.  Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model.

Authors:  Timothée Masquelier
Journal:  J Comput Neurosci       Date:  2011-09-21       Impact factor: 1.621

9.  Activity-dependent regulation of 'on' and 'off' responses in cat visual cortical receptive fields.

Authors:  D Debanne; D E Shulz; Y Fregnac
Journal:  J Physiol       Date:  1998-04-15       Impact factor: 5.182

10.  Translation-invariant orientation tuning in visual "complex" cells could derive from intradendritic computations.

Authors:  B W Mel; D L Ruderman; K A Archie
Journal:  J Neurosci       Date:  1998-06-01       Impact factor: 6.167

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