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Neural prediction challenge
The Neural Encoding Model System is a set of open source, Python tools for modeling sensory neural coding across a broad range of sensory and behavioral contexts. This includes models for representation of complex natural stimuli and how behavioral state influences that representation. NEMS was developed for neural spiking data, but it can be applied to a variety of signals (EEG, MEG, fMRI BOLD, behavior). Ongoing work is to develop models for simultaneously recorded neural populations.
Open source Matlab-based neurophysiology data acquisition software written in collaboration with Bernhard Englitz. MANTA is designed to scale well for large (~100 channel) array recordings using inexpensive off-the-shelf National Instruments hardware.
Matlab code for removing spike bleed-through from LFP recorded from high impedance electrodes. For details, see: David SV, Malaval N, Shamma SA. (2010) Decoupling action potential bias from cortical local field potentials. Comput Intell Neurosci. E-pub (PubMed).