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J Neurophysiol (October 28, 2009). doi:10.1152/jn.91022.2008
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Submitted on September 12, 2008
Revised on September 29, 2009
Accepted on October 21, 2009

The behavioral time course of microstimulation in cortical area MT

Nicolas Y Masse1* and Erik P Cook2

1 MRC Laboratory of Molecular Biology
2 McGill University

* To whom correspondence should be addressed. E-mail: nmasse{at}mrc-lmb.cam.ac.uk.

Electrical stimulation of the brain is a valuable research tool and has shown therapeutic promise in the development of new sensory neural prosthetics. In spite of its widespread usage, we still do not fully understand how current passed through a microelectrode interacts with functioning neural circuits. Past behavioral studies have suggested that weak electrical stimulation (referred to as microstimulation) of sensory areas of cortex produces percepts that are similar to those generated by normal sensory stimuli. In contrast, electrophysiological studies using in vitro or anesthetized preparations have shown that neural activity produced by brief microstimulation is radically different and longer lasting than normal responses. To help reconcile these two aspects of microstimulation, we examined the temporal properties that microstimulation has on visual perception. We found that brief application of subthreshold microstimulation in the Middle Temporal (MT) area of visual cortex produced smaller and longer lasting effects on motion perception when compared to an equivalent visual stimulus. In agreement with past electrophysiological studies, a computer simulation reproduced our behavioral effects when the time course of a single microstimulation pulse was modeled with three components: An immediate fast strong excitatory component, followed by a weaker inhibitory component and lastly followed by a long duration weak excitatory component. Overall, these results suggest the behavioral effects of microstimulation in our experiments were due to the unique and long-lasting temporal effects microstimulation has on functioning cortical circuits.







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