Computational Neuroinformatics Tools for Analyzing Spike Train Data

Our work in computational neuroinformatics is a component of the NIH's Human Brain Project, funded by NIMH. To advance our understanding of neural coding, we are developing a suite of information-theoretic algorithms as public resources and for application to data in our neurophysiology databases via a linked dedicated computational array. The project complements our development at neurodatabase.org of searchable neurophysiology databases containing spike train and other microelectrode data and allied descriptive metadata including recording site, technique, and stimulus. To aid data sharing and interoperability among neurodatabases, we are creating BrainML, an XML-based multilevel data description suite for neuroscience.

This project has Human Brain Project/Neuroinformatics funding via MH68012 from NIMH, NINDS, NIA, NIBIB and NSF.

For more information on this project, see the Spike Train Analysis Toolkit website.