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Tuesday, May 22, 2018

Expander graph architectures for high-capacity neural memory

Seminar: Redwood Seminar | May 22 | 12-1:30 p.m. | 560 Evans Hall

Rishidev Chaudhuri, UT Austin/Simons Institute UC Berkeley

Neuroscience Institute, Helen Wills

Memory networks in the brain must balance two competing demands. On the one hand, they should have high capacity to store the large numbers of stimuli an organism must remember over a lifetime. On the other hand, noise is ubiquitous in the brain and memory is typically retrieved from incomplete input. Thus, memories must be encoded with some redundancy, which reduces capacity. Current neural...   More >

Wednesday, May 23, 2018

Characterizing neurons in the visual area V4 through interpretable machine learning

Seminar: Redwood Seminar | May 23 | 12-1:30 p.m. | 560 Evans Hall

Reza Abbasi-Asl, UC Berekely

Neuroscience Institute, Helen Wills

In the past decade, research in machine learning has been exceedingly focused on the development of algorithms and models with remarkably high predictive capabilities. Models such as convolutional neural networks (CNNs) have achieved state-of-the-art predictive performance for many tasks in computer vision, autonomous driving, and transfer learning in areas such as computational neuroscience....   More >

Thursday, May 24, 2018