Hub: (noun) center of activity; focal point
Understanding how the brain works is one of the biggest puzzles left for science to solve.
Answers to critical questions in neuroscience lie at a pivotal intersection between biology, cognitive psychology, computer science, statistics and engineering – areas where Carnegie Mellon University excels.
And the world has taken notice of our excellence, putting CMU at the hub of unique global partnerships in the name of brain research.
As the birthplace of artificial intelligence and cognitive psychology, CMU brain scientists have had real-world impact for over 50 years.
From the creation of some of the first cognitive tutors, to the development of the Jeopardy-winning Watson, to founding a ground-breaking doctoral program in neural computation, to recent cutting-edge work on the genetic basis of autism, Carnegie Mellon has, and will continue to be, a leader in the study of brain and behavior.
And our expertise doesn't stop at technology. World-renowned faculty such as Allen Newell, Herbert Simon, John Anderson and Raj Reddy, all helped shape modern cognitive psychology.
At the same time, seminal collaborations between psychologists and computer scientists gave rise to the field of artificial intelligence.
Today, partnerships between CMU neuroscientists, psychologists, statisticians, computer scientists, and engineers leave us poised to make similar groundbreaking accomplishments.
Taking a global approach to understanding the brain, CMU, with its partners around the world, is uniquely qualified for tackling this sort of highly interdisciplinary research. Read press release announcing BrainHub »
This cross-disciplinary effort, BrainHub, is lead by a faculty steering committee consisting of:
- Michael Tarr, Chair of BrainHub Executive Committee; Professor and Head, Psychology
- Alison Barth, Professor, Biological Sciences
- Marlene Behrmann, George A. and Helen Dunham Cowan Professor of Cognitive Neuroscience; Co-Director, Center for the Neural Basis of Cognition
- Vijayakumar Bhagavatula, Associate Dean for Graduate and Faculty Affairs, College of Engineering; Professor, Electrical and Computer Engineering
- Rob Kass, Professor, Statistics, Machine Learning and Center for the Neural Basis of Cognition
- Tom Mitchell, E. Fredkin University Professor; Head, Machine Learning
- Aarti Singh, A. Nico Habermann Assistant Professor, Machine Learning
Centers & Departments
In addition to partnerships around the world, more than a dozen centers and departments at Carnegie Mellon are playing leading roles in this initiative:
- Center for Cognitive Brain Imaging
- Center for the Neural Basis of Cognition (CNBC)
- Computational Biology Department
- Computer Science Department
- Department of Biological Sciences
- Department of Biomedical Engineering
- Department of Electrical and Computer Engineering
- Department of Materials Science and Engineering
- Department of Mechanical Engineering
- Department of Philosophy
- Department of Psychology
- Department of Social and Decision Sciences
- Department of Statistics
- Human-Computer Interaction Institute (HCII)
- Institute for Complex Engineered Systems (ICES)
- Language Technologies Institute (LTI)
- Machine Learning Department
- Molecular Biosensor and Imaging Center
- Pittsburgh Science of Learning Center (PSLC)
- Robotics Institute
- School of Music
- Scientific Imaging and Brain Research Center (SIBR)