Machine Learning /AI approach to predict neural responses
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Updated
Apr 27, 2017 - Python
Machine Learning /AI approach to predict neural responses
Matlab Package: Search for information-bearing components in neural data with noise assisted MEMD
Live display of neural spike data for SpikeGLX software
python code for stimulus presentation, data acquisition, and analysis for retinotopic mapping experiments
STATS320: Statistical Methods for Neural Data Analysis
code for characterizing and comparing visual responses in rat cortex
A simple closed-loop BCI simulator for testing real-time neural decoding algorithms
Signal Processing Toolbox for Calcium Imaging Data
Object-oriented approach to loading Blackrock NSX neural data files in Matlab
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
Decoding and geometrical analysis of neural activity with built-in best practices
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