<< Week of January 19 >>

Wednesday, January 22, 2020

Early vision in artificial neural networks

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

 Chris Olah, Open AI

 Berkeley Neuroscience, UC Berkeley

Artificial neural networks are capable of sophisticated vision tasks, including recognizing complex object families and captioning images. But very little is known about how they accomplish this. What happens if we take such a neural network seriously as a kind of "model organism?" In this talk, we give a neuron by neuron account of low-level visual features in InceptionV1, and demonstrate that...   More >

Cell types, and the specificity of synaptic connectivity and signaling between them, in primary visual cortex

Seminar: Neuroscience Seminar | January 22 | 2-3:30 p.m. | 177 Life Sciences Addition

 Dr. Gabe Murphy, Allen Institute

 Neuroscience Institute, Helen Wills

Neurons are frequently classified into distinct groups, or ‘cell types’, on the basis of structural, physiological, or genetic attributes. Constraining the definition and diversity of neuronal cell types likely requires a different, more integrated approach - e..g, assaying the cellular and network attributes of individual neurons and determining the degree to which those attributes co-vary...   More >

Uncovering the molecular and cellular basis of neurodevelopmental disorders

Seminar | January 22 | 3:30-4:30 p.m. | 100 Genetics & Plant Biology Building

 Helen Bateup, University of California, Berkeley

 Department of Molecular and Cell Biology

This seminar is partially sponsored by NIH

Thursday, January 23, 2020

Syntactic generalization in natural language inference

Seminar | January 23 | 11 a.m.-12 p.m. | 202 South Hall

 Tal Linzen, Johns Hopkins University

 Neuroscience Institute, Helen Wills

Neural network models for natural language processing often perform very well on examples that are drawn from the same distribution as the training set. Do they accomplish such success by learning to solve the task as a human might solve it, or do they adopt heuristics that happen to work well on the data set in question, but do not reflect the normative definition of the task (how one "should"...   More >

IB Seminar: The Social Brain: Physiological mechanisms underlying peer relationships

Seminar | January 23 | 12:30-1:30 p.m. | 2040 Valley Life Sciences Building

 Annaliese Beery, Smith College/UMass Amherst

 Department of Integrative Biology

Division of Neurobiology and H. Wills Neuroscience Institute

Seminar | January 23 | 3:30-4:30 p.m. | 101 Life Sciences Addition | Canceled

 Ona Bloom, Feinstein Institute

 Department of Molecular and Cell Biology

This seminar is partially sponsored by NIH