Brain and Cognitive Sciences Computational Tutorial Series

2015–2016

• Linear Network Theory and Sloppy Models Mark Goldman, UC Davis (November 21, 2016)           
• Functional Connectivity Analysis Methods and Their Interpretational Pitfalls Andre M. Bastos, MIT (September 13, 2016)
• Tensor Methods Anima Anandkumar, UC Irvine (July 21, 2016) 
• Dynamical Systems in Neuroscience Seth Egger, MIT (January 22, 2016) 
• Dimensionality Reduction II Sam Norman-Haignere, MIT (January 21, 2016) 
• Dimensionality Reduction I Emily Mackevicius and Greg Ciccarelli, MIT (January 19, 2016)
• Cluster Computing and OpenMind (1 & 2) Evan Remington and Satrajit Ghosh, MIT (January 12, 2016)
• Decoding Analyses to Understand Neural Content and Coding Ethan Meyers, Hampshire College & MIT (July 23, 2015) 
• Learning in Deep Neural Networks Phillip Isola, MIT (June 17, 2015) 
• Learning in Recurrent Neural Networks Larry Abbott, Columbia (June 10, 2015)
• Bayesian Methods: Brain and Cognitive Perspectives Mehrdad Jazayeri and Josh Tenenbaum, MIT (June 9, 2015)