Covers the Spike Response Model (SRM) in computational neuroscience and its relation to the adaptive leaky integrate-and-fire model.
Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.
Covers the optimization of neuron models for coding and decoding in computational neuroscience.
Explores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
