Code supporting 'Geometric constraints on human brain function'
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Updated
Feb 16, 2024 - MATLAB
Code supporting 'Geometric constraints on human brain function'
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Computational Anatomy Toolbox for SPM12
Introductory workshop to modeling and model fitting in cognitive and computational neuroscience
Introductory workshop to modeling and model fitting in psychophysics and neuroscience
Matlab Toolbox for Simulation, Analysis, and Design of Stable Heteroclinic Channel Networks
Code supporting 'Geometric constraints on human brain function'
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
MATLAB module for assessing the causal links between time series
Benchmark of derivative-free optimization algorithms applied to models in cognitive and neural science.
Neural Spike Train Analysis
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Simulation of integrated information in biological systems.
Code for - Joshi, S.N., Dau, T. and Epp, B., 2017. A model of electrically stimulated auditory nerve fiber responses with peripheral and central sites of spike generation. Journal of the Association for Research in Otolaryngology, 18(2), pp.323-342.
Collection of Matlab projects & experiments
Simulates aperiodic EEG signals and detrends EEG spectra, as well as generates figures used in manuscript.
Tutorial covering group DCM analyses of fMRI and M/EEG
The Hopfield network, a point attractor network, is modified here to investigate the behavior of the resting state challenged with varying degrees of noise.
Code for simulations and some of the plots from article "Regimes and mechanisms of transient amplification in abstract and biological neural networks" by Georgia Christodoulou, Tim P Vogels, and Everton J Agnes
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