Position: Maximizing Neural Regression Scores May Not Identify Good Models of the Brain
R Schaeffer, M Khona, S Chandra… - UniReps: 2nd Edition …, 2024 - openreview.net
A prominent methodology in computational neuroscience posits that the brain can be
understood by identifying which artificial neural network models most accurately predict …
understood by identifying which artificial neural network models most accurately predict …
[HTML][HTML] Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators
Work on deep learning-based models of grid cells suggests that grid cells generically and
robustly arise from optimizing networks to path integrate, ie, track one's spatial position by …
robustly arise from optimizing networks to path integrate, ie, track one's spatial position by …
Not so griddy: Internal representations of RNNs path integrating more than one agent
Success in collaborative and competitive environments, where agents must work with or
against each other, requires individuals to encode the position and trajectory of themselves …
against each other, requires individuals to encode the position and trajectory of themselves …