Multi-resource-cost Optimization for Neural Networks Models Working Group (NNMS)
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Scope of the working group, example project, and literature Short Description: From Nikolaus Kriegeskorte's (Professor of Psychology and of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute)…
CTN: Wei Ji Ma
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Efficient coding in reward neurons Abstract: Two of the greatest triumphs of computational neuroscience have been efficient coding accounts of tuning properties of sensory neurons and reinforcement learning accounts…
CTN: Quentin Huys (Seminar Speaker)
To Be DeterminedTitle: Translating computational mechanisms to clinical applications Computational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering…
CTN: Guillaume Hennequin
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: A recurrent network model of planning explains hippocampal replay and human behaviour Abstract: When faced with a novel situation, humans often spend substantial periods of time contemplating possible futures. For…
Canceled CTN: Bob Datta
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
CTN: Stefano Fusi
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: The Geometry of Abstraction Abstract: I'll first discuss the theoretical framework introduced in Bernardi et al. 2020, Cell, in which we propose a possible definition of abstract representations. I'll go into…
CTN: Peter Dayan
Jerome L. Greene Science Center 3227 Broadway 9th FL Lecture Hall, New York, NY, United StatesTitle: Risking your Tail: Curiosity, Danger & Exploration Abstract: Risk and reward are critical balancing determinants of adaptive behaviour, associated respectively with neophobia and neophilia in the case of exploration.…
Zuckerman Institute Demo Day
Lightning AI 50 West 23 Street 7th FL, New York, NY, United StatesDr. Richard Lange
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle: "What Bayes can and cannot tell us about the neuroscience of vision" Nikolaus Kriegeskorte's Group is hosting Dr.Richard Lange, Assistant Professor in the Department of Computer Science at Rochester…
Continual Learning Working Group Talk
CEPSR 620 Schapiro 530 W. 120th StTitle: Continual learning, machine self-reference, and the problem of problem-awareness Abstract: Continual learning (CL) without forgetting has been a long-standing problem in machine learning with neural networks. Here I will bring a…
CTN Claudia Clopath
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Feedback-based motor control can guide plasticity and drive rapid learning Abstract: Animals use afferent feedback to rapidly correct ongoing movements in the presence of a perturbation. Repeated exposure to a predictable…
CTN: Sebastian Seung
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Insights into vision from interpreting a neuronal wiring diagram Host: Marcus Triplett Abstract: In 2023, the FlyWire Consortium released the neuronal wiring diagram of an adult fly brain. This contains as a…