<< May 2018 >>

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

Seize the moment: temporal structure in attention

Seminar | May 24 | 3:30-4:30 p.m. | 101 Life Sciences Addition

 Kia Nobre, University of Oxford

 Department of Molecular and Cell Biology

Wednesday, May 30, 2018

Inference and Efficient Coding in Natural Auditory Scenes

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

 Wiktor Mlynarski, MIT

 Neuroscience Institute, Helen Wills

Processing of natural stimuli in sensory systems has been traditionally studied within two theoretical frameworks: probabilistic inference and efficient coding. Probabilistic inference specifies optimal strategies for learning about relevant properties of the environment from local and ambiguous sensory signals. Efficient coding provides a normative approach to study encoding of natural stimuli...   More >