Mapping biological neural systems to deep learning architectures. Understanding the brain to build better AI.
Hodgkin–Huxley, LIF neuron models, visual stream mapping against CNN feature hierarchies.
Sparse coding, STDP learning rules, Hopfield networks, place cell representations.
Language processing, mechanistic interpretability, BCI neural signal decoder capstone.