Likelihood of Spike Train in GLM

Covers the optimization of neuron models for coding and decoding in computational neuroscience.

Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.

Covers the Spike Response Model (SRM) in computational neuroscience and its relation to the adaptive leaky integrate-and-fire model.

Modeling in vitro data

Explores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.