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Journal of Neurophysiology, Vol 57, Issue 1 132-146, Copyright © 1987 by APS
ARTICLES |
B. J. Richmond, L. M. Optican, M. Podell and H. Spitzer
We seek a general approach to determine what stimulus features visual neurons are sensitive to and how those features are represented by the neuron's responses. Because lesions of inferior temporal (IT) cortex interfere with a monkey's ability to perform pattern discrimination tasks we studied IT neurons. Previous single-unit studies have shown that IT neurons sometimes respond more strongly to complex stimuli (brushes, hands, faces) than to simple stimuli (bars, slits, edges). However, it is not known how specific stimulus parameters are represented by responses. We studied the responses of IT neurons in alert behaving monkeys to a large set of two-dimensional black and white patterns. The stimulus set was based on 64 Walsh functions that can be used to represent any picture with a resolution of one part in eight along each of two dimensions. The responses to these stimuli spanned a continuum from inhibition to strong excitation. A statistical test showed that the spike count was determined by which Walsh stimulus was presented. Hence, these stimuli form an adequate set for testing IT neurons. The responses showed temporal modulation of the spike train that could not be represented by a change in the spike count alone. Examples of this modulation were changes in latency, changes in the duration of the response, and alternating periods of excitation and inhibition. This temporal modulation may be important in representing stimulus parameters. The next paper in this series develops a method for quantifying this temporal modulation and shows that it is dependent on the stimulus. The third paper in this series shows that this temporal modulation contains more information about stimulus parameters than is contained in the spike count alone.
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M. C. Wiener and B. J. Richmond Using Response Models to Estimate Channel Capacity for Neuronal Classification of Stationary Visual Stimuli Using Temporal Coding J Neurophysiol, December 1, 1999; 82(6): 2861 - 2875. [Abstract] [Full Text] [PDF]
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D. W. Moran and A. B. Schwartz Motor Cortical Activity During Drawing Movements: Population Representation During Spiral Tracing J Neurophysiol, November 1, 1999; 82(5): 2693 - 2704. [Abstract] [Full Text] [PDF]
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M. W. Oram, M. C. Wiener, R. Lestienne, and B. J. Richmond Stochastic Nature of Precisely Timed Spike Patterns in Visual System Neuronal Responses J Neurophysiol, June 1, 1999; 81(6): 3021 - 3033. [Abstract] [Full Text] [PDF]
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K. E. Cullen and D. Guitton Analysis of Primate IBN Spike Trains Using System Identification Techniques. I. Relationship to Eye Movement Dynamics During Head-Fixed Saccades J Neurophysiol, December 1, 1997; 78(6): 3259 - 3282. [Abstract] [Full Text] [PDF]
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M. Pare and R. H. Wurtz Monkey Posterior Parietal Cortex Neurons Antidromically Activated From Superior Colliculus J Neurophysiol, December 1, 1997; 78(6): 3493 - 3497. [Abstract] [Full Text] [PDF]
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M. C. Dorris, M. Pare, and D. P. Munoz Neuronal Activity in Monkey Superior Colliculus Related to the Initiation of Saccadic Eye Movements J. Neurosci., November 1, 1997; 17(21): 8566 - 8579. [Abstract] [Full Text] [PDF]
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N. J. Gandhi and E. L. Keller Spatial Distribution and Discharge Characteristics of Superior Colliculus Neurons Antidromically Activated From the Omnipause Region in Monkey J Neurophysiol, October 1, 1997; 78(4): 2221 - 2225. [Abstract] [Full Text] [PDF]
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