Literature DB >> 8492152

Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. II. Linearity of temporal and spatial summation.

G C DeAngelis1, I Ohzawa, R D Freeman.   

Abstract

1. We have tested the hypothesis that simple cells in the cat's visual cortex perform a linear spatiotemporal filtering of the visual image. To conduct this study we note that a visual neuron behaves linearly if the responses to small, brief flashes of light are mathematically related, via the Fourier transform, to the responses elicited by sinusoidal grating stimuli. 2. We have evaluated the linearity of temporal and spatial summation for 118 simple cells recorded from the striate cortex (area 17) of adult cats and kittens at ages 4 and 8 wk postnatal. These neurons represent a subset of the population of cells for which we have described the postnatal development of spatiotemporal receptive-field structure in the preceding paper. Spatiotemporal receptive-field profiles are constructed, with the use of a reverse correlation technique, from the responses to random sequences of small bar stimuli that are brighter or darker than the background. Fourier analysis of spatiotemporal receptive-field profiles yields linear predictions of the cells' spatial and temporal frequency tuning. These predicted responses are compared with spatial and temporal frequency tuning curves measured by the use of drifting, sinusoidal-luminance grating stimuli. 3. For most simple cells, there is good agreement between spatial and temporal frequency tuning curves predicted from the receptive-field profile and those measured by the use of sinusoidal gratings. These results suggest that both spatial and temporal summation within simple cells are approximately linear. There is a tendency for predicted tuning curves to be slightly broader than measured tuning curves, a finding that is consistent with the effects of a threshold nonlinearity at the output of these neurons. In some cases, however, predicted tuning curves deviate from measured responses only at low spatial and temporal frequencies. This cannot be explained by a simple threshold nonlinearity. 4. If linearity is assumed, it should be possible to predict the direction selectivity of simple cells from the structure of their spatiotemporal receptive-field profiles. For virtually all cells, linear predictions correctly determine the preferred direction of motion of a visual stimulus. However, the strength of the directional bias is typically underestimated by a factor of about two on the basis of linear predictions. Consideration of the expansive exponential nonlinearity revealed in the contrast-response function permits a reconciliation of the discrepancy between measured and predicted direction selectivity indexes. 5. Overall, these findings show that spatiotemporal receptive-field profiles obtained with the use of reverse correlation may be used to predict a variety of response properties for simple cells.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1993        PMID: 8492152     DOI: 10.1152/jn.1993.69.4.1118

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


  95 in total

1.  Direction selectivity and spatiotemporal separability in simple cortical cells.

Authors:  M A García-Pérez
Journal:  J Comput Neurosci       Date:  1999 Sep-Oct       Impact factor: 1.621

2.  Contrast gain control in the visual cortex: monocular versus binocular mechanisms.

Authors:  A M Truchard; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

3.  Computational modeling of orientation tuning dynamics in monkey primary visual cortex.

Authors:  M C Pugh; D L Ringach; R Shapley; M J Shelley
Journal:  J Comput Neurosci       Date:  2000 Mar-Apr       Impact factor: 1.621

4.  Membrane potential and firing rate in cat primary visual cortex.

Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

5.  Functional micro-organization of primary visual cortex: receptive field analysis of nearby neurons.

Authors:  G C DeAngelis; G M Ghose; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

6.  Development of response timing and direction selectivity in cat visual thalamus and cortex.

Authors:  Alan B Saul; Jordan C Feidler
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

7.  Rules of connectivity between geniculate cells and simple cells in cat primary visual cortex.

Authors:  J M Alonso; W M Usrey; R C Reid
Journal:  J Neurosci       Date:  2001-06-01       Impact factor: 6.167

8.  Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain.

Authors:  Monty A Escabi; Christoph E Schreiner
Journal:  J Neurosci       Date:  2002-05-15       Impact factor: 6.167

9.  Computational subunits of visual cortical neurons revealed by artificial neural networks.

Authors:  Brian Lau; Garrett B Stanley; Yang Dan
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

10.  Space-time maps and two-bar interactions of different classes of direction-selective cells in macaque V-1.

Authors:  Bevil R Conway; Margaret S Livingstone
Journal:  J Neurophysiol       Date:  2003-05       Impact factor: 2.714

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