3 papers
cs.LG2026
Contravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks
Dan Yamins, Aran Nayebi
A series of results from the NeuroAI over the past fifteen years have raised core questions both about how to compare Deep Neural Network (DNN) models to the brain, and about how m…
q-bio.NC2025
Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
Trinity Chung, Yuchen Shen, Nathan C. L. Kong +1
Tactile sensing remains far less understood in neuroscience and less effective in artificial systems compared to more mature modalities such as vision and language. We bridge these…
cs.LG2025
Model-brain comparison using inter-animal transforms
Imran Thobani, Javier Sagastuy-Brena, Aran Nayebi +3
Artificial neural network models have emerged as promising mechanistic models of the brain. However, there is little consensus on the correct method for comparing model activations…