Speaker/s:
Haim Sompolinsky
Abstract: What are the computational principles underlying the transformation of sensory representations along brain sensory hierarchies? I will discuss recent theoretical results addressing: (1) the role of sparsity, expansion and noise in signal propagation in deep networks; (2) the potential role of top-down inputs in providing context information, and (3) object recognition and classification from neuronal manifolds.
* Food will be out by 3:30pm and everyone is welcome to come to eat and socialize before the talk starts, at 4:00pm sharp.
Details
43 Vassar St, Cambridge MA
Date:
February 17, 2016
Time:
4:00 pm to 5:30 pm
Venue:
MIT Building 46, Room 3189