Computational Psychiatry

2018

November 2 – 3, 2018
Friday 8a – 6p; Saturday 8a – 6p

Keynote

Beyond excitation/inhibition imbalance in multidimensional circuit models of brain disorders
Terry Sejnowski
Salk Institute for Biological Studies
University of California at San Diego

Lectures

Network Science Approaches to Neural Function — A Didactic Introduction
Danielle Bassett, University of Pennsylvania

TBD
Pearl Chiu, Virginia Tech Carilion Research Institute

TBD
Jonathan Cohen, Princeton University

TBD
Michael Frank, Brown University

Addiction: how can computational psychiatry help build a two-way bridge
Xiaosi Gu, Icahn School of Medicine at Mount Sinai

Human Neocortical Neurosolver: A new tool for circuit level interpretation of human EEG/MEG signals
Stephanie Jones, Brown University

TBD
Stephen LaConte, Virginia Tech Carilion Research Institute

Latent Variable Estimation from Neurophysiological Data for Psychiatric Disorders
Rosalyn Moran, King’s College London

TBD
Martin Paulus, Laureate Institute for Brain Research

Tutorials

TBD
Vanessa Brown, Virginia Polytechnic Institute and State University

TBD
Anne Collins, University of California, Berkeley

Methods of computational model-based analysis of brain/behavior relationships
Michael Frank, Brown University

“Real” Time Decoding
Stephen LaConte, Virginia Tech Carilion Research Institute

Latent Variable Estimation from Neurophysiological Data for Psychiatric Disorders
Rosalyn Moran, King’s College London

Human Neocortical Neurosolver: A new tool for circuit level interpretation of human EEG/MEG signals
Samuel Neymotin, Brown University