NeurosciencebioRxivPreprint
A Variational Principle for the Emergence of Neural Geometry Underlying Bayesian-Like Behavior
Luis Serrano-Fernandez, Nestor Parga
The paper proposes a variational principle linking stimulus statistics to neural geometry and demonstrates its prediction of Bayesian-like behavior in recurrent neural networks.
DOI 10.64898/2026.11.11.765947