Computational Cognitive Neuroscience textbook
Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Paper describing the xolotl neuron and network simulator. Includes Latex source and MATLAB code to reproduce every figure in the paper.
Repository for the UH Biocomputation group's website
closed loop identifiability in neural circuits
Code associated with the article "[Rp] Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model"
Simulation of a simple model of neuronal spiking in Python.
Slides for my NeuroFedora seminar at the UH Biocomputaiton group's weekly seminar
A study of the information theory and machine learning paradigms applied in the brain.
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