Inference of nonlinear receptive field subunits with spike-triggered clustering

Nishal Shah, Nora Brackbill, Colleen Rhoades, Alexandra Kling, Georges Goetz, Alan Litke, Alexander Sher, Eero Simoncelli & E.J. Chichilnisky
Responses of sensory neurons are often modeled using a weighted combination of rectified linear subunits. Since these subunits often cannot be measured directly, a flexible method is needed to infer their properties from the responses of downstream neurons. We present a method for maximum likelihood estimation of subunits by soft-clustering spike-triggered stimuli, and demonstrate its effectiveness in visual neurons. Subunits estimated from parasol retinal ganglion cells (RGCs) in macaque retina partitioned the receptive field into...
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18 downloads reported since publication in 2019.

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