Prof. Daniel C. Dennett, Tufts University How Mindless Algorithms Build Minds "Human reasoning and creative thinking is an unprecedented product of evolution. We are the first species to know who we are and how we got here." |
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Prof. Patricia Smith Churchland, University of California, San Diego Decisions, Responsibility and the Brain "From the perspective of neurophilosophy, I shall address some of the broad questions about choice and responsibility, including the theological and metaphysical contention that free choice is uncaused choice, and the proposal that pragmatic and scientific considerations can yield the best working basis for assignment of responsibility." |
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Prof. Walter Sinnott-Armstrong, Dartmouth College Neuroscience and Legal Responsibility "Using some real cases, I will ask whether our legal system should allow 'brain defenses' and whether it should allow brain scans as evidence in legal trials." |
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Asst. Prof. Adina Roskies, Dartmouth College Free Will – Uniquely Human? "What can neuroscience tell us about decision-making and free will? I suggest that what makes human decisions comport with intuitive notions of freedom is that we sometimes have conscious access to the intentional content of the states involved in those decisions." |
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Assoc. Prof. William M. Kelley, Dartmouth College A Cognitive Neuroscience Approach to Studying the Self "Understanding the nature of self is central to many areas of psychology, and evidence from multiple domains suggests that information about the self is processed in a substantially different manner than information processed about others." |
Prof. Marc D. Hauser, Harvard University Modules, Minds and Morality "I argue that humans are endowed with a universal moral grammar that generates intuitive judgments of right and wrong based on an inaccessible and abstract code of action. To defend this position, I present data from a large scale, internet study, with over 200,000 subjects, as well as data from patient populations." |
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Asst. Prof. Paul Whalen, Dartmouth College Vigilance, Valence and Ambiguity: Functional Neuroimaging Studies of Human Facial Expressions "Any successful neural learning system must include subcomponents sensitive to changes in the predictive value of associative stimuli. This talk will present data concerning the role of a prefrontal – amygdala neural circuit in the detection and resolution of predictive uncertainty." |
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Prof. James V. Haxby, Dartmouth College Brain Reading with fMRI: Breaking the Code for Neural Representation in the Human Brain |
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Prof. Richard H. Granger, Dartmouth College Engines of the Brain |







