22. Dr. Gregory Berns — What It's Like to Be a Dog…and Other Adventures in Animal Neuroscience episode artwork

EPISODE · Apr 16, 2018 · 1H 9M

22. Dr. Gregory Berns — What It's Like to Be a Dog…and Other Adventures in Animal Neuroscience

from The Michael Shermer Show · host Michael Shermer, Gregory Berns

In this wide-ranging dialogue (recorded on September 1, 2017) on the nature of consciousness Dr. Michael Shermer talks with Dr. Gregory Berns, Distinguished Professor of Neuroeconomics and Director of the Center for Neuropolicy and Facility for Education and Research in Neuroscience. Dr. Berns is famous for his use of fMRI to study canine cognitive function in awake, unrestrained dogs. The goals of his research are to non-invasively map the perceptual and decision systems of the dog's brain and to predict likelihood of success in service dogs. He also uses diffusion tensor imaging (DTI) to reconstruct the white matter pathways of a wide variety of other mammals, including dolphins, sea lions, coyotes, and the extinct Tasmanian tiger. Shermer and Berns address the so-called "Hard Problem of Consciousness" of "what is it like to be a bat (or dog)?" What is it like to be another sentient being has been impossible to understand until and unless we can get inside the other conscious creature's head. Now we can thanks to this new technology. Of course, we cannot have a first-person subjective experience of being a dog—and in this sense the "Hard Problem of Consciousness" is something of a conceptual error inasmuch as it can never be answered in this first-person subjective sense, but we can come close to understanding what dogs (and other conscious creatures) are thinking and feeling.

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22. Dr. Gregory Berns — What It's Like to Be a Dog…and Other Adventures in Animal Neuroscience

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In this wide-ranging dialogue (recorded on September 1, 2017) on the nature of consciousness Dr. Michael Shermer talks with Dr. Gregory Berns, Distinguished Professor of Neuroeconomics and Director of the Center for Neuropolicy and Facility for...

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