A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

Automatic Differentiation via Contour Integration

Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

Code for "Constraints on neural redundancy", Hennig et al. (eLife, 2018)

Repository for the paper Operational Calculus for Differentiable Programming

Python package of computational models relevant to invertebrate processing, from the environment to sensor responses and to deeper neural responses in the invertebrate brain.

Lecture notes and Python-based physics simulations for MIT OCW's neural computation course