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University of Texas at Austin
- Austin, TX
Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
For ECI 2018 course, "Computational methods for studying language and the brain."
Code to fit spectrotemporal receptive field models of auditory neurons.
Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimation for models with continuous state spaces