Jed Singer: Neural Coding

Topics: Characterizing neural firing rates, tuning curves, identifying effective stimuli, modeling spike trains, integrating information across time and across neurons, estimating response using reverse correlation, decoding fundamentals, two-way decoding, optimal decoding (Bayesian inference, ML, MAP), evaluating performance of an estimator, and kernel-based decoding from spike trains