ARNI WG Multi-resource-cost optimization of neural network models: Paul Schrater
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle: Control when confidence is costly Abstract: We develop a version of stochastic control that accounts for computational costs of inference. Past studies identified efficient coding without control, or efficient…
ARNI Biological Learning Working Group
VirtualKen Miller will be talking about E/I networks & balanced networks and some computational/functional implications, there’s two papers I’d suggest reading:on balanced amplification: https://www.sciencedirect.com/science/article/pii/S0896627309001287 review of loosely and tightly balanced networks: https://www.sciencedirect.com/science/article/pii/S0896627321005754. …
ARNI Continual Learning Project
CEPSR 620 Schapiro 530 W. 120th StFollowup to discussion in Meeting 1 Zoom Link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1
ARNI Frontier Models for Neuroscience and Behavior Working Group (Priorly: Animal Behavior)
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesDescription: Advances in neurotechnology and behavioral tracking have enabled the collection of large-scale neural and behavioral datasets, offering new opportunities to study brain function in complex settings. However, researchers face significant…
ARNI Distinguished Seminar Series: Marlene Behrmann
Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NYAbout Dr. Marlene Behrmann: Marlene Behrmann joined the Department of Ophthalmology at the University of Pittsburgh School of Medicine, where she holds the John and Clelia Sheppard Chair, in 2022.…