Methods in Neuroscience at Dartmouth (MIND) 2018 Computational Summer School

We are delighted to announce our second Methods in Neuroscience at Dartmouth (MIND) Computational Summer School, to be held July 30-August 7, 2018. The theme of this year's summer school is Narratives and Naturalistic Contexts.

There has been renewed interest in extending the study of neural and psychological phenomena in highly controlled laboratory settings to more naturalistic paradigms that more closely reflect the rich spatiotemporal structure of the real world.  Bridging this divide requires developing new experiments and analytic methods. The goal of our summer school is to provide a forum for gaining hands-on experience with some of the latest computational tools that can help gain insight into understanding how our brains process naturalistic stimuli and contexts. We will offer a mix of expertise at a broad range of spatiotemporal scales and domains (e.g. behavioral, cognitive, social; circuit, whole-brain, and social networks; etc.). In addition, we will maintain our special focus on training students to use and contribute to open-source tools, data sharing, and other “best practices” for open science.

For more information, and/or to apply, please visit https://summer-mind.github.io.  Please note that this year’s application deadline is April 29, 2018.  You may also find information about last year’s summer school (theme: multiscale network dynamics) here, along with all course materials.  We anticipate a diverse and talented mix of graduate students, postdoctoral researchers, and junior faculty will participate in the 2018 summer school.

Luke Chang, Jeremy Manning, and Matt van der Meer (Directors)

James Haxby, Dan Rockmore, and Thalia Wheatley (Advisory Board)

This event is sponsored by the Center for Social Brain Sciences, Center for Cognitive Neuroscience, Dartmouth Research Computing, and the Neukom Institute for Computer Sciences at Dartmouth.