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  • CTN: Adam Cohen

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: 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 States

    Title: 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 States

    Title: 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, NY

    Hidenori Tanaka Title and Abstract: TBD

  • CTN: Eva Naumann

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title and Abstract: TBD

  • CTN Monda Lab: Liam Paninski

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title and Abstract: TBD

  • ARNI Continual Learning Working Group Spring Opening Meeting

    CEPSR 620 Schapiro 530 W. 120th St

    From: 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).  We hope for this group to tackle issues that are relevant to both modern practitioners and the ARNI mission of connecting artificial and natural intelligence.…

  • ARNI WG Multi-resource-cost optimization of neural network models: Paul Schrater

    Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United States

    Title: 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 control that neglects the cost of synthesizing information. Here we combine these concepts into a framework where agents rationally approximate inference for efficient control. Specifically,…

  • ARNI Biological Learning Working Group

    Virtual

    Ken 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.  Meeting Link: meet.google.com/nnq-csiy-yah

  • ARNI Continual Learning Project

    CEPSR 620 Schapiro 530 W. 120th St

    Followup to discussion in Meeting 1 Zoom Link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1      

  • ARNI Distinguished Seminar Series: Marlene Behrmann

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    About 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. She also holds the position of Emeritus Professor at Carnegie Mellon University. Dr. Behrmann’s research is concerned with the psychological and neural bases of visual…