Contrast dependence of response normalization in area MT of the rhesus macaque.

Contrast normalization is a process whereby responses of neurons are scaled according to the total amount of contrast in a region of the image nearby the receptive field of a neuron. This process allows neurons to code for informative scene or object attributes in a manner unaffected by changes in illumination. Evidence for normalization is seen in striate and extrastriate cortex from experiments where multiple stimuli are presented with a single receptive field (RF). Neuronal responses in such experiments are smaller than that predicted by linear summation, revealing the presence of normalization. While the presence of normalization is often clear, its mechanism is less so. To study the mechanism of normalization, we measured the interaction between pairs of brief local stimuli (spatial Gabor functions) within the RFs of cells in the middle temporal (MT or V5) area of monkeys and varied both the location and contrast of the stimuli. We found response summed approximately linearly when contrast was low but rapidly became normalized as stimulus contrast increased. The rapid transition to effective normalization at low contrasts suggested cooperativity in the normalization, and a model embodying such a cooperative step provided a good account of our data.

[1]  S. Zeki,et al.  Response properties and receptive fields of cells in an anatomically defined region of the superior temporal sulcus in the monkey. , 1971, Brain research.

[2]  S P Wise,et al.  Size, laminar and columnar distribution of efferent cells in the sensory‐motor cortex of monkeys , 1977, The Journal of comparative neurology.

[3]  B. Richmond,et al.  Implantation of magnetic search coils for measurement of eye position: An improved method , 1980, Vision Research.

[4]  John H. R. Maunsell,et al.  The middle temporal visual area in the macaque: Myeloarchitecture, connections, functional properties and topographic organization , 1981, The Journal of comparative neurology.

[5]  D. G. Albrecht,et al.  Striate cortex of monkey and cat: contrast response function. , 1982, Journal of neurophysiology.

[6]  Lance M. Optican,et al.  Unix-based multiple-process system, for real-time data acquisition and control , 1982 .

[7]  D C Van Essen,et al.  Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation. , 1983, Journal of neurophysiology.

[8]  John H. R. Maunsell,et al.  The connections of the middle temporal visual area (MT) and their relationship to a cortical hierarchy in the macaque monkey , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[9]  R. Desimone,et al.  Columnar organization of directionally selective cells in visual area MT of the macaque. , 1984, Journal of neurophysiology.

[10]  Hidehiko Komatsu,et al.  A grid system and a microsyringe for single cell recording , 1988, Journal of Neuroscience Methods.

[11]  D. C. Essen,et al.  Modular and hierarchical organization of extrastriate visual cortex in the macaque monkey. , 1990, Cold Spring Harbor symposia on quantitative biology.

[12]  John H. R. Maunsell,et al.  Coding of image contrast in central visual pathways of the macaque monkey , 1990, Vision Research.

[13]  R A Andersen,et al.  The response of area MT and V1 neurons to transparent motion , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[14]  J. Maunsell,et al.  Magnocellular and parvocellular contributions to the responses of neurons in macaque striate cortex , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[15]  K. Tanaka,et al.  Comparison of neuronal selectivity for stimulus speed, length, and contrast in the prestriate visual cortical areas V4 and MT of the macaque monkey. , 1994, Journal of neurophysiology.

[16]  Anthony J. Movshon,et al.  Visual Response Properties of Striate Cortical Neurons Projecting to Area MT in Macaque Monkeys , 1996, The Journal of Neuroscience.

[17]  R. Wurtz,et al.  Responses of MT and MST neurons to one and two moving objects in the receptive field. , 1997, Journal of neurophysiology.

[18]  L. Abbott,et al.  Synaptic Depression and Cortical Gain Control , 1997, Science.

[19]  J. Movshon,et al.  Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex , 1997, The Journal of Neuroscience.

[20]  S G Lisberger,et al.  Neuronal responses in visual areas MT and MST during smooth pursuit target selection. , 1997, Journal of neurophysiology.

[21]  Eero P. Simoncelli,et al.  A model of neuronal responses in visual area MT , 1998, Vision Research.

[22]  K. H. Britten,et al.  Spatial Summation in the Receptive Fields of MT Neurons , 1999, The Journal of Neuroscience.

[23]  Stefan Treue,et al.  Seeing multiple directions of motion—physiology and psychophysics , 2000, Nature Neuroscience.

[24]  M Konishi,et al.  Auditory Spatial Receptive Fields Created by Multiplication , 2001, Science.