Literature DB >> 9447685

The use of m-sequences in the analysis of visual neurons: linear receptive field properties.

R C Reid1, J D Victor, R M Shapley.   

Abstract

We have used Sutter's (1987) spatiotemporal m-sequence method to map the receptive fields of neurons in the visual system of the cat. The stimulus consisted of a grid of 16 x 16 square regions, each of which was modulated in time by a pseudorandom binary signal, known as an m-sequence. Several strategies for displaying the m-sequence stimulus are presented. The results of the method are illustrated with two examples. For both geniculate neurons and cortical simple cells, the measurement of first-order response properties with the m-sequence method provided a detailed characterization of classical receptive-field structures. First, we measured a spatiotemporal map of both the center and surround of a Y-cell in the lateral geniculate nucleus (LGN). The time courses of the center responses was biphasic: OFF at short latencies, ON at longer latencies. The surround was also biphasic--ON then OFF--but somewhat slower. Second, we mapped the response properties of an area 17 directional simple cell. The response dynamics of the ON and OFF subregions varied considerably; the time to peak ranged over more than a factor of two. This spatiotemporal inseparability is related to the cell's directional selectivity (Reid et al., 1987, 1991; McLean & Palmer, 1989; McLean et al., 1994). The detail with which the time course of response can be measured at many different positions is one of the strengths of the m-sequence method.

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Year:  1997        PMID: 9447685     DOI: 10.1017/s0952523800011743

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  98 in total

1.  Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus.

Authors:  G B Stanley; F F Li; Y Dan
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

2.  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

3.  Interspike intervals, receptive fields, and information encoding in primary visual cortex.

Authors:  D S Reich; F Mechler; K P Purpura; J D Victor
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

4.  Synaptic interactions between thalamic inputs to simple cells in cat visual cortex.

Authors:  W M Usrey; J M Alonso; R C Reid
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

5.  Temporal coding of visual information in the thalamus.

Authors:  P Reinagel; R C Reid
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

6.  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

7.  The timing of response onset and offset in macaque visual neurons.

Authors:  Wyeth Bair; James R Cavanaugh; Matthew A Smith; J Anthony Movshon
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

Review 8.  Spike timing and visual processing in the retinogeniculocortical pathway.

Authors:  W Martin Usrey
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

9.  Decoupling eye-specific segregation from lamination in the lateral geniculate nucleus.

Authors:  Andrew D Huberman; David Stellwagen; Barbara Chapman
Journal:  J Neurosci       Date:  2002-11-01       Impact factor: 6.167

10.  The spatial receptive field of thalamic inputs to single cortical simple cells revealed by the interaction of visual and electrical stimulation.

Authors:  Prakash Kara; John S Pezaris; Sergey Yurgenson; R Clay Reid
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

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