Mazzucato Lab, University of Oregon's repositories
contamineuro_2019_spiking_net
Demo scripts for running spiking network simulations and Hidden Markov Model analyses
expectation-spiking-net
Demo script for running spiking network simulations and reproducing Fig. 3a of the model introduced in L. Mazzucato, G. La Camera and A. Fontanini, Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli, Nature Neuroscience (2019)
AppliedMathNotebooks
Collection of notebooks for the Applied Math courses at University of Oregon
perturb_spiking_net
Spiking network with E and I clusters
cortical_processing_speed
This repository is a collection of matlab and python code to reproduce the reproduce the results contained within the manuscript "State-dependent regulation of cortical processing speed via gain modulation". The simulation of the clustered Neural Network is performed in matlab, while the analysis of the Allen Institute Neuropixel dataset is perfomed in python. To run the data analysis, a conda environment is provided for ease of use.
dynamax
State Space Models library in JAX