Project Grant RF1NS127107

Award Date 3/15/22
Completion Date 2/28/25
Dollars Obligated $2M
Federal Grant Program
93.853
Assistance Type
Project Grant
Place of Performance
Bronx, NY 10461, USA
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The project aims to advance understanding of how feedforward and feedback signaling work together in the visual system by analyzing simultaneously recorded neuronal population responses in macaque V1/V2 and V1/V4 areas. Researchers will develop a hierarchical spiking network model of predictive coding and test how active predictions shape visual cortical representations during a perceptual decision-making task. Subawards of $49,999 or less will support complementary work by the Fundacao Champalimaud and the Software Engineering Institute at Carnegie Mellon University.

Overall, this grant seeks to shift the study of inter-network signaling from single neurons to population interactions by testing predictive coding theory at the level of neuronal populations across brain areas. Findings could inform treatments for disorders involving dysregulated inter-areal signaling. The grant is funded through NIH NINDS's Extramural Research Programs in the Neurosciences and Neurological Disorders program.

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