Nonlinear Center-Surround Interactions in the Barrel Cortex

Alireza S. Boloori and Garrett B. Stanley
Division of Engineering and Applied Sciences
Harvard University
A common feature among sensory modalities is the spatiotemporal integration of stimuli from both center and surround portions of a cell's receptive field (RF). As rats actively explore their environment using their vibrissa, naturalistic textural stimuli engage multiple whiskers in correlated movements which in turn elicit spatiotemporal response interactions. The simplest instance of response integration across a cell's spatiotemporal RF consists of a 100-200ms suppression of ensuing activity to a single deflection, referred to as a second-order interaction. In this study we demonstrate how second-order interactions nonlinearly combine to yield responses to more complex deflection sequences, such as periodic multi-whisker stimuli arising from whisking on a periodic grating. Dependence of the timescale and magnitude of second-order suppression on stimulus properties were studied. We observed that stimuli with larger PSTH responses (a) cause longer-lasting suppressive effects and that (b) their responses display quicker recovery from an existing suppression. Response predictions for more complex single and multi-whisker contact sequences were developed on the basis of the observed characteristics of second-order response attenuations. Based on the above studies, a cortical response model accounting for spatiotemporal integration was used to determine the influence of response interactions on the cortical representation of periodic textures. Using both single and multiple cells, an ideal-observer analysis showed that discrimination performance (a) suffers as a result of stimulus-induced response suppression, but (b) is improved due to response nonlinearities. Altogether, these results demonstrate the significance of spatiotemporal interactions in the coding of naturalistic stimuli, and can be used to develop methods for efficient estimation of barrel cortical response dynamics. This work was supported by grants from the Whitaker and Whitehall foundations.