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J Neurophysiol (November 5, 2008). doi:10.1152/jn.90960.2008
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Submitted on August 19, 2008
Revised on October 22, 2008
Accepted on November 1, 2008

Time course and stimulus dependence of repetition-induced response suppression in inferotemporal cortex

Yan Liu1, Scott Murray1, and Bharathi Jagadeesh1*

1 University of Washington

* To whom correspondence should be addressed. E-mail: bjag{at}u.washington.edu.

Neural responses throughout the sensory system are affected by stimulus history. In inferotemporal cortex (IT) - an area important for processing information about object shape - there is a substantially reduced response to the second presentation of an image. Understanding the mechanisms underlying repetition suppression may provide important insights into the circuitry that generates responses in IT. In addition, repetition suppression may have important perceptual consequences. The characteristics of repetition suppression in IT are poorly understood and the details, including the interaction between the content of the first and second stimulus and the time course of suppression are not clear. Here, we examined the time course of suppression in IT, by varying both the duration and stimulus content of two stimuli presented in sequence. The data show that the degree of suppression does not depend directly on the response evoked by the first stimulus in the recorded neuron. Repetition suppression was also limited in duration, peaking at {approx} 200 ms after the onset of the second (test) image and disappearing before the end of the response. Neural selectivity to a continuum of related images was enhanced if the first stimulus produced a weak response in the cell. The dynamics of the response suggests that different parts of the input and recurrent circuitry that gives rise to neural responses in IT are differentially modulated by repetition suppression. The selectivity of the sustained response was preserved in spite of substantial suppression of the early part of the response. The data suggest that suppression in IT is a property of the input and recurrent circuitry in IT, and not directly related to the degree of response in the recorded neuron itself.




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