Mackenzie W. Mathis

Artificial intelligence is reshaping neuroscience across scales.

Recent progress is reviewed in applying AI for neuroscience along this scale axis: structure prediction for proteins, simulation-based inference for biophysical neurons, latent and dynamical models for neural populations, task-trained networks as minimal models of circuit computation, computer vision for animal behavio...