http://www.nitrc.org/forum/forum.php?forum_id=5361 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives.</b></p> <p>Neuron. 2015 Jul 15;87(2):257-270</p> <p>Authors: Haynes JD</p> <p>Abstract<br/> Human fMRI signals exhibit a spatial patterning that contains detailed information about a person's mental states. Using classifiers it is possible to access this information and study brain processes at the level of individual mental representations. The precise link between fMRI signals and neural population signals still needs to be unraveled. Also, the interpretation of classification studies needs to be handled with care. Nonetheless, pattern-based analyses make it possible to investigate human representational spaces in unprecedented ways, especially when combined with computational modeling.<br/> </p><p>PMID: 26182413 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Sun, 03 May 2026 21:51:58 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator