CTN Lab: Ashok Litwin-Kumar
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Searching for symmetries in connectome data Abstract: I will talk about work with Haozhe Shan on identifying structure in connectome data that suggests a cell type encodes one or…
CTN: Mazviita Chirimuuta
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Neuromorphic Computing and the Significance of Medium Dependence Abstract: The increasingly prohibitive cost of energy demanded by large artificial neural networks (ANNs) is giving new impetus to research and…
CTN: Mehdi Azabou, ARNI Postdoctorate Research Scientist
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Building foundation models for neuroscience Abstract: Current methodologies for recording brain activity often provide narrow views of the brain's function. This fragmentation of datasets has hampered the development of…
CTN: Adam Cohen
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Mapping bioelectrical signals, from dendrites to circuits Abstract: Neuronal dendrites are excitable, but what are these excitations for? Are dendritic excitations involved in integration? Or in mediating back-propagation? What are…
CTN: Jonathan Pillow
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems Abstract: Latent dynamical systems have been widely used to characterize the dynamics of neural population activity in the…
CTN: Monday Lab Kim Stachenfeld
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Discovering Symbolic Cognitive Models from Human and Animal Behavior with CogFunSearch Abstract: A key goal of cognitive science is to discover mathematical models that describe how the brain implements cognitive processes.…
ARNI Biological Learning Working Group
Title: Brain-like learning with exponentiated gradients and Learning to live with Dale’s principle: ANNs with separate excitatory and inhibitory units Meeting Summary: Our focus will be on answering the following…
CTN: Hidenori Tanaka
Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NYHidenori Tanaka Title and Abstract: TBD
CTN: Eva Naumann
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
CTN Monda Lab: Liam Paninski
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
ARNI Continual Learning Working Group Spring Opening Meeting
CEPSR 620 Schapiro 530 W. 120th StFrom: Tom Zollo In Y2, the aim is to use this working group as a launchpad for a larger ARNI continual learning project (which we hope to spawn multiple subprojects and papers). …
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…