Neuroscience and Law seminar series
Time: Mondays 5 - 7 pm
October 8 - Dec 3, 2007
Instructor:
David Eagleman, PhD, Director, Initiative on Neuroscience and Law
Email: eagleman-AT-bcm.edu
Phone: 713-798-6699
Text: Neuroscience and the Law: Brain, Mind, and the Scales of Justice. Ed: Brent Garland
Who can take the course:
This course is offered to graduate and medical students from BCM and UTH, law students from University of Houston, undergraduates from Rice, and practicing physicians, scientists and lawyers.
Course Summary
This course addresses how new discoveries in neuroscience will intersect with the making of law, the punishment of criminals, and the development of new rehabilitation strategies. The readings will bring together a unique conjunction of neurobiology, legal scholarship, and policy making. The goals of the course will be to facilitate an understanding of the neurobiological underpinnings of behaviors that are subject to legal consequences for individuals and groups, and using this emerging base of scientific information to design modern, evidence-based policy.
Emerging questions at the interface of law and neuroscience include: Is it a legitimate defense to claim that a tumor or a brain injury ‘made you do it’? In what ways are the brains of minors similar or different from adult brains in their capacity for decision-making and impulse control – and how do those similarities/differences help inform policy for punishment and rehabilitation? Can modern technologies such as structural and/or functional brain imaging be leveraged for rehabilitation? Who should have access to information about our brains? How should juries assess responsibility, given that most behaviors are driven by systems of the brain that we cannot control?
In conjunction with currently available literature on the topic, individual student projects will study and develop suggestions for new experiments and evidence-based policy. An example would be designing experiments that could identify neural signatures predictive of recidivism, and developing the policy structures in which these predictions should be used.