Nonlinear Spatiotemporal Encoding in the Rat Vibrissa System

Garrett B. Stanley, Roxanna M. Webber, and Alireza S. Boloori
Division of Engineering and Applied Sciences
Harvard University
Cells in the barrel cortex respond to vibrissa deflection with a brief excitatory component and a longer suppressive component. The response to a given deflection is thus scaled due to suppression induced by a preceding deflection, causing the neuronal response to be linked to the temporal properties of the peripheral stimulus. A paired-deflection stimulus was used to characterize the post-excitatory suppression and a three-deflection stimulus was used to investigate the nonlinear response to patterns of whisker deflections. The post-excitatory suppression was not dependent upon a sensory-evoked action potential to the first deflection, implying that it is likely a subthreshold property of the network. The suppression induced by a deflection served to suppress both the excitatory and suppressive components of a subsequent neuronal response, thus effectively disinhibiting it. Two different response properties were observed in the recorded cells. Approximately 65% responded to a vibrissa deflection with an excitatory component followed by a suppressive component and 35% responded with excitation, suppression, and a subsequent rebound in excitation. Based on these observations of post-excitatory dynamics, a prediction method was used to estimate neuronal responses to more complex stimulus trains. Using the second-order representation obtained from the paired-deflection stimulus, responses to general periodic deflection patterns were well predicted. A higher cut-off frequency was predicted for rebound cells as compared to cells not exhibiting rebound excitation, consistent with experimental observations. The method also predicted the response of neurons to a random aperiodic deflection pattern. Furthermore, similar predictions in the spatial domain were confirmed through a paired-vibrissa probe. The temporal structure of cortical dynamics following a deflection, therefore, dictates the response to more complex temporal patterns, which are more representative of stimuli encountered under natural conditions.

This work was supported by an NSF graduate research fellowship to R. M. Webber, the Whitaker Foundation, and the Whitehall Foundation.