期刊
JOURNAL OF NEUROSCIENCE METHODS
卷 165, 期 1, 页码 38-48出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2007.05.026
关键词
neurophysiology; behavior; single unit; data mining; primate; software
资金
- Intramural NIH HHS [Z99 MH999999] Funding Source: Medline
The simple operant conditioning originally used in behavioral neurophysiology 30 years ago has given way to complex and sophisticated behavioral paradigms; so much so, that early general purpose programs for analyzing neurophysiological data are ill-suited for complex experiments. The trend has been to develop custom software for each class of experiment, but custom software can have serious drawbacks. We describe here a general purpose software tool for behavioral and electrophysiological studies, called MatOFF, that is especially suited for processing neurophysiological data gathered during the execution of complex behaviors. Written in the MATLAB programming language, MatOFF solves the problem of handling complex analysis requirements in a unique and powerful way. While other neurophysiological programs are either a loose collection of tools or append MATLAB as a post-processing step, MatOFF is an integrated environment that supports MATLAB scripting within the event search engine safely isolated in a programming sandbox. The results from scripting are stored separately, but in parallel with the raw data, and thus available to all subsequent MatOFF analysis and display processing. An example from a recently published experiment shows how all the features of MatOFF work together to analyze complex experiments and mine neurophysiological data in efficient ways. Published by Elsevier B.V.
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