Workshop Resources

Undergraduate Training for the Interdisciplinary Study of Intelligence

Undergraduate Curriculum for the Science and Engineering of Intelligence, draft document by Ellen Hildreth that highlights core areas of undergraduate training that are useful for interdisciplinary research on intelligence.

Online Courses

Materials from CBMM's Brains, Minds, and Machines Summer Course, recently published on MIT OpenCourseWare.

Residential Courses

Outline of Brains, Minds, and Machines course taught by Susan Epstein at Hunter College, together with a Bibliography of resources for faculty and students. This course has been approved as a Scientific World distribution course for all CUNY students.

Website for Brains, Minds, and Machines: The Science of Intelligence, taught as a First Year Seminar at Wellesley College, by Ellen Hildreth and Mike Wiest.

Flyer and syllabus for From Neurons to Thoughts course taught by Mohinish Shukla at UMass Boston.

Syllabi for a first course on theory and second course on data evaluation, for a two-semester Honors sequence on The Biophysics of Neural Computation, taught by Jorge Riera Diaz at Florida International University.

Increasing Student Engagement Through the Development of Interdisciplinary Courses by Collins et al. includes a description of the course on AI: Minds, Consciousness, Machines at the University of Puerto Rico Mayaguez.

Online Resources

TELLab is an online tool for collaborative learning in the design of psychology experiments, developed by a group of psychologists, computer scientists, and educators at Harvard University.

The Neural Decoding Toolbox, developed by Ethan Meyers, enables researchers to analyze neural data from sources such as single cell recordings, fMRI, MEG, and EEG, to understand the information contained in this data and how it is decoded. A MATLAB Live Script with the content in this PDF document introduces the Neural Decoding Toolbox and provides code examples and exercises.