Workshop
|
Sat 14:40
|
Tom Griffiths: Understanding the behavior of large language models using tasks from cognitive science
Tom Griffiths
|
|
Poster
|
Thu 16:30
|
Poisson Variational Autoencoder
Hadi Vafaii · Dekel Galor · Jacob Yates
|
|
Poster
|
Wed 16:30
|
Biologically Inspired Learning Model for Instructed Vision
Roy Abel · Shimon Ullman
|
|
Workshop
|
|
Empowerment and Causal Learning
Annya Dahmani · Alyssa L Dayan · Alison Gopnik
|
|
Poster
|
Wed 16:30
|
Inference of Neural Dynamics Using Switching Recurrent Neural Networks
Yongxu Zhang · Shreya Saxena
|
|
Poster
|
|
Predictive Attractor Models
Ramy Mounir · Sudeep Sarkar
|
|
Poster
|
Thu 16:30
|
Recurrent neural network dynamical systems for biological vision
Wayne Soo · Aldo Battista · Puria Radmard · Xiao-Jing Wang
|
|
Poster
|
Thu 11:00
|
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons
Eryn Sale · Wenhao Zhang
|
|
Poster
|
Thu 16:30
|
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
Yajing Zheng · Jiyuan Zhang · Zhaofei Yu · Tiejun Huang
|
|
Poster
|
Fri 16:30
|
Discovering plasticity rules that organize and maintain neural circuits
David Bell · Alison Duffy · Adrienne Fairhall
|
|
Poster
|
Wed 16:30
|
A Unifying Normative Framework of Decision Confidence
Amelia Johnson · Michael Buice · Koosha Khalvati
|
|
Workshop
|
|
Predictive Learning Induces Probabilistic Cognitive Maps
Yeowon Kim · Yul HR Kang
|
|