Literature DB >> 6265263

Classification of receptive field properties in cat visual cortex.

K H Pribram, M C Lassonde, M Ptito.   

Abstract

The properties of the receptive fields of visual cortex neurons of cats were studied manually and by a computer controlled system using single lines, double lines and multiple lines (gratings). The multiple selectivities of each of the receptive fields studied make it necessary to abandon the concept that each cell functions as a feature detector. Instead, an attempt was made to classify the receptive field properties with the aim to delineate the transfer functions (of the total networks) served for each property. When tested with one-line stimulus, cells with simple receptive field properties differed from cells with complex receptive field properties as to their velocity selectivity (simple: 1 degree to 3 degrees/s; complex: 4 degrees to 10 degrees/s), spontaneous activity (lower for cells with simple properties) optimal firing rate (lower for cells with simple properties) and receptive field size (smaller for cells with simple properties) but not for orientation and direction selectivity. When tested with a 2-lines moving stimulus, the responses of cells with simple properties were facilitated by the progressive separation of the lines whereas the responses of cells with complex receptive field properties were inhibited. When multiple line, i.e., gratings, were used, an equivalence between simple and X properties and complex and Y properties was shown, while the sustained/transient classification proved to be independent of the simple/complex (X/Y) classification. Thus, receptive field properties can be classified into three categories: one reflects the input to the receptive fields; a second deals with the interactive properties of the fields; while a third appears more related to the overall properties of the network.

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Year:  1981        PMID: 6265263     DOI: 10.1007/bf00237756

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  47 in total

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Authors:  M Ptito; G H Heaton; M C Lassonde; K H Pribram
Journal:  Rev Can Biol       Date:  1976-03

2.  Receptive field classes of cells in the striate cortex of the cat.

Authors:  G H Henry
Journal:  Brain Res       Date:  1977-09-09       Impact factor: 3.252

3.  Changes in visual recovery functions produced by temporal lobe stimulation in monkeys.

Authors:  D N Spinelli; K H Pribram
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1966-01

4.  Evidence for "sustained" and "transient" neurones in the cat's visual cortex.

Authors:  H Ikeda; M J Wright
Journal:  Vision Res       Date:  1974-01       Impact factor: 1.886

5.  Electrocortical correlates of stimulus response and reinforcement.

Authors:  K H Pribram; D N Spinelli; M C Kamback
Journal:  Science       Date:  1967-07-07       Impact factor: 47.728

6.  Conduction velocity as a parameter in the organisation of the afferent relay in the cat's lateral geniculate nucleus.

Authors:  J Stone; K P Hoffman
Journal:  Brain Res       Date:  1971-09-24       Impact factor: 3.252

7.  Interaction effects of visual contours on the discharge frequency of simple striate neurones.

Authors:  P O Bishop; J S Coombs; G H Henry
Journal:  J Physiol       Date:  1971-12       Impact factor: 5.182

8.  Spatial periodicities of periodic complex cells in the visual cortex cluster at one-half octave intervals.

Authors:  D A Pollen; S E Feldon
Journal:  Invest Ophthalmol Vis Sci       Date:  1979-04       Impact factor: 4.799

9.  Receptive field organization of complex cells in the cat's striate cortex.

Authors:  J A Movshon; I D Thompson; D J Tolhurst
Journal:  J Physiol       Date:  1978-10       Impact factor: 5.182

10.  Optical and retinal factors affecting visual resolution.

Authors:  F W Campbell; D G Green
Journal:  J Physiol       Date:  1965-12       Impact factor: 5.182

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  5 in total

1.  An analysis of neural spike-train distributions: determinants of the response of visual cortex neurons to changes in orientation and spatial frequency.

Authors:  D Berger; K Pribram; H Wild; C Bridges
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

2.  Connection between internal representation of rigid transformation and cortical activity paths.

Authors:  E H Carlton
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

3.  Intracerebral influences on the microstructure of receptive fields of cat visual cortex.

Authors:  M C Lassonde; M Ptito; K H Pribram
Journal:  Exp Brain Res       Date:  1981       Impact factor: 1.972

4.  Orientation and spatiotemporal tuning of cells in the primary visual cortex of an Australian marsupial, the wallaby Macropus eugenii.

Authors:  M R Ibbotson; R F Mark
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2002-12-21       Impact factor: 1.836

5.  Response properties of neurons in the visual cortex of the rat.

Authors:  R A Burne; J G Parnavelas; C S Lin
Journal:  Exp Brain Res       Date:  1984       Impact factor: 1.972

  5 in total

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