- A solvable model of feature learning in a nonlinear network A statistical mechanics account of how a Bayesian network changes its hidden weight distribution to learn one useful direction.
- Mathematical properties of Gaussian process neural code A mathematical field note on Gaussian process neural codes, excursion geometry, spectral structure, and coding error.