Efficient-coding-in-a-spiking-predictive-coding-network

MATLAB code for a network filter model, consisting of 'filter-and-fire' neurons with both recurrent and feed-forward filters, that performs close to optimal tracking of its input.

computational-model-of-rodent-somatosensory-cortical-column

Simulation of barrel cortical columns in matlab

TCrelay-Morris-Lecar-model

We investigated the reliability of the timing of spikes in a spike train in a Morris-Lecar model with several extensions. A frozen Gaussian noise current, superimposed on a DC current, was injected. The neuron responded with spike trains that showed trial-to-trial variability. The reliability depends on the shape (steepness) of the current input versus spike frequency output curve. The model also allowed to study the contribution of three relevant ionic membrane currents to reliability: a T-type calcium current, a cation selective h-current and a calcium dependent potassium current in order to allow bursting, investigate the consequences of a more complex current-frequency relation and produce realistic firing rates.