Tuesday, May 28, 2019
University Campus Center Auditorium
1 Campus Way, Amherst MA 01003
This conference brings together neuroscientists and engineers to find areas of overlap for collaboration. It includes new approaches for visualizing and recording from neurons, manipulating gene expression in neurons, and understanding brain function. Speakers will also talk about interfaces between the brain and the rest of the body and the mechanical forces on neurons.
Registration is free and open to faculty, students, and staff from UMass and other universities,. It features two keynote speakers: Andrew Barto (UMass) and Steven McCarroll (Harvard) and five local speakers. There will be an evening poster session for anyone to present their neuroscience or engineering research regardless of topic.
Register for the workshop, the conference and the poster session.
No registration fee.
Registration deadline is May 10th, 2019
Local Keynote Speaker
College of Computer and Information Sciences
University of Massachusetts Amherst
Can Machine Learning tell us anything about
the neurobiological basis for learning?
Artificial intelligence (AI) is much in the news these days, with most of the attention due to the success of machine learning (ML) algorithms. Some of the most impressive AI systems rely on learning by multi-layer, or “deep”, artificial neural networks (ANNs). Despite the fact that ANNs were inspired by networks of real neurons, their correspondence to real neural networks remains superficial, and the ML algorithms they use are motivated by mathematical theory rather than by neuroscience. After briefly explaining the most common ML algorithms, I argue that while some popular algorithms are unlikely to tell us much about the neurobiological basis of learning, other algorithms correspond to neural data in surprising ways that have been enormously useful in making sense of data. I conclude by describing directions suggested by these correspondences that remain to be explored.
Dorothy and Milton Flier Professor of Biomedical Science and Genetics
Department of Genetics
Harvard Medical School
Keynote speaker sponsored by Models to Medicine, Institute of Applied Life Sciences.