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| Center for the Neural Basis of Cognition | |
|---|---|
| Name | Center for the Neural Basis of Cognition |
| Established | 2004 |
| Location | Pittsburgh, Pennsylvania |
| Affiliations | Carnegie Mellon University; University of Pittsburgh |
Center for the Neural Basis of Cognition is a collaborative research center based in Pittsburgh that integrates cognitive neuroscience, psychology, computer science, and neuroscience to study perception, learning, memory, and decision making. Founded through partnership between Carnegie Mellon University and the University of Pittsburgh, the center brings together investigators from departments including Department of Psychology, Carnegie Mellon University, Department of Neuroscience, School of Computer Science, and professional schools such as the Pittsburgh Brain Science Center to foster interdisciplinary research. Its work intersects with initiatives and institutions like National Institutes of Health, National Science Foundation, Allen Institute for Brain Science, and collaborations with international laboratories.
The center was launched amid institutional collaborations between Carnegie Mellon University and the University of Pittsburgh during the early 21st century, building on legacies from laboratories associated with figures such as Donald Hebb-inspired research groups, networks tied to projects like the Human Connectome Project, and local investments comparable to the development of the Pittsburgh Supercomputing Center. Early research ties included faculty with prior appointments at Massachusetts Institute of Technology, Harvard University, Yale University, and Stanford University, and partnerships with clinical sites such as UPMC and research consortia like Society for Neuroscience. Over time the center expanded through grants from foundations including the Gordon and Betty Moore Foundation and the Simons Foundation, and by hosting visiting scholars from institutions like Columbia University, Princeton University, University of California, Berkeley, and University of Oxford.
The center’s mission emphasizes mechanistic explanation of cognitive processes by integrating experimental methods from laboratories influenced by figures such as Brenda Milner, David Hubel, and Torsten Wiesel, computational modeling traditions from Geoffrey Hinton and Yoshua Bengio, and systems-level perspectives advanced by investigators connected to György Buzsáki and Karl Friston. Core research focuses include perceptual systems studied in paradigms inspired by Hubel and Wiesel-style cortical mapping, memory research connecting to themes from Endel Tulving and Eric Kandel, decision-making frameworks informed by Daniel Kahneman and Amos Tversky, and machine learning interfaces related to work from Andrew Ng and Fei-Fei Li. The center targets translational pathways relevant to clinical groups served by Allegheny General Hospital and policy discussions involving stakeholders like the Department of Veterans Affairs.
Administratively the center is a joint venture between Carnegie Mellon University and the University of Pittsburgh, with faculty appointments spanning departments such as Department of Psychology, University of Pittsburgh, Department of Bioengineering, Carnegie Mellon University, Heinz College, and the School of Medicine, University of Pittsburgh. Governance involves steering committees with representatives from labs connected to investigators who have held positions at Princeton Neuroscience Institute, Broad Institute, Salk Institute, and the McGovern Institute for Brain Research. Funding and oversight interactions include agencies such as the National Institutes of Health, Defense Advanced Research Projects Agency, and philanthropic partners like the Kavli Foundation.
Research programs include cognitive neuroscience teams studying attention and perception linked to methodologies used by researchers at Massachusetts General Hospital and Beth Israel Deaconess Medical Center, systems neuroscience groups employing electrophysiology with techniques common at the Allen Institute for Brain Science, and computational labs developing models in the tradition of Yann LeCun and Judea Pearl. Specific labs cover topics such as visual cognition with lineage to Hubel and Wiesel research, auditory processing with connections to Edwin Gordon-style frameworks, memory consolidation engaging ideas from György Buzsáki, and reinforcement learning tracing theoretical roots to Richard Sutton and Andrew Barto. Collaborative centers and initiatives include partnerships with the Pittsburgh Supercomputing Center, the McGowan Institute for Regenerative Medicine, and clinical trials groups working with UPMC Presbyterian.
The center supports graduate and postdoctoral training tied to doctoral programs at Carnegie Mellon University and the University of Pittsburgh School of Medicine, and participates in interdisciplinary curricula influenced by programs at Massachusetts Institute of Technology and Stanford University. Trainee opportunities include rotation-based laboratory experiences modeled after systems at Harvard Medical School and joint seminars featuring faculty with prior affiliations at Columbia University, Yale University, University College London, and ETH Zurich. The center organizes symposia and workshops that attract speakers from institutions such as the Allen Institute for Brain Science, the Salk Institute, the Broad Institute, and the Princeton Neuroscience Institute.
Core facilities include neuroimaging suites with equipment comparable to scanners at Massachusetts General Hospital and data infrastructure integrated with resources like the Pittsburgh Supercomputing Center and cloud collaborations similar to those with Google DeepMind-advised consortia. The center maintains electrophysiology rigs and computational clusters used in projects analogous to those at the Allen Institute for Brain Science and the McGovern Institute for Brain Research, and partnerships with clinical sites such as UPMC Mercy provide access to patient populations. Shared resources support open-data initiatives in the spirit of the Human Connectome Project and involve software toolchains influenced by projects at Carnegie Mellon University and University of Pittsburgh collaborators.
Contributions span mechanistic studies of cortical circuits building on concepts from Donald Hebb and Hubel and Wiesel, computational models of perception and learning influenced by Geoffrey Hinton and Yoshua Bengio, and translational advances in neuroimaging methods echoing innovations from Matthew Brett-type pipelines. The center’s investigators have published alongside researchers from Harvard University, Stanford University, University of California, San Francisco, and Columbia University on topics including memory consolidation related to work by Eric Kandel, decision neuroscience connecting to Daniel Kahneman, and reinforcement learning drawing on Richard Sutton. Collaborative grants and awards have involved agencies such as the National Institutes of Health, the National Science Foundation, and private funders like the Simons Foundation and the Kavli Foundation, and alumni have gone on to positions at institutions such as Princeton University, MIT, University College London, and the Salk Institute for Biological Studies.
Category:Neuroscience research institutes