William L. Tong

This paper develops a machine learning framework for shaping animal behavior using adaptive algorithms that alternate between simpler and harder tasks to optimize learning.

This paper proposes a rate-based Poisson compressed sensing model for the olfactory bulb that accurately detects odors within a single sniff.

This paper develops a nonlinear decoding method to infer natural images from primate retinal ganglion cell activity, showing improved accuracy over linear methods for high-pass features.