Patrick Mineault

A 3D ResNet trained to estimate an agent's own motion from simulated visual input predicts selectivity of primate dorsal-stream neurons, whereas action-recognition networks on naturalistic video do not.

Training a two-pathway deep neural network with a single self-supervised predictive loss function models both dorsal and ventral pathways of mouse visual cortex and outperforms competing models.

The paper benchmarks spike rate inference algorithms for two-photon calcium imaging data and finds that top-performing algorithms show high correlation despite diverse approaches.