The Cognitive and Computational Neuroscience of Categorization, Novelty-Detec...

Google Tech Talks
November, 15 2007

ABSTRACT

Neurocomputational models provide fundamental insights towards
understanding the human brain circuits for learning new associations
and organizing our world into appropriate categories. In this talk I
will review the information-processing functions of four interacting
brain systems for learning and categorization:

(1) the basal ganglia which incrementally adjusts choice behaviors using environmental
feedback about the consequences of our actions,

(2) the hippocampus which supports learning in other brain regions through the creation of
new stimulus representations (and, hence, new similarity
relationships) that reflect important statistical regularities in the
environment,

(3) the medial septum which works in a feedback-loop with
the hippocampus, using novelty-detection to alter the rate at which
stimulus representations are updated through experience,

(4) the frontal lobes which provide for selective attention and executive
control of learning and memory.

The computational models to be described have been evaluated through a variety of empirical
methodoligies including human functional brain imaging, studies of
patients with localized brain damage due to injury or early-stage
neurodegenerative diseases, behavioral genetic studies of
naturally-occuring individual variability, as well as comparative
lesion and genetic studies with rodents. Our applications of these
models to engineering and computer science including automated anomaly
detection systems for mechanical fault diagnosis on US Navy
helicopters and submarines as well more recent contributions to the
DoD's DARPA program for Biologically Inspired Cognitive Architectures
(BICA).

Speaker: Dr. Mark Gluck
Mark Gluck is a Professor of Neuroscience at Rutgers University - Newark, co-director of the Rutgers Memory Disorders Project, and publisher of the public health newsletter, Memory Loss and the Brain. He works at the interface between neuroscience, psychology, and computer science, where his research focuses on the neural bases of learning and memory, and the consequences of memory loss due to aging, trauma, and disease. He is the co-author of "Gateway to Memory: An Introduction to Neural Network Models of the Hippocampus and Memory " (MIT Press, 2001) and a forthcoming undergraduate textbook, "Learning and Memory: From Brain to Behavior." He has edited several other books and has published over 60 scientific journal articles. His awards include the Distinguished Scientific Award for Early Career Contributions from the American Psychological Society and the Young Investigator Award for Cognitive and Neural Sciences from the Office of Naval Research. In 1996, he was awarded a NSF Presidential Early Career Award for Scientists and Engineers by President Bill Clinton. For more information, see http://www.gluck.edu.

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[maxbenecke123]

His powerpoint presentation picture of aristotle is actually one of plato. Otherwise, the presentation is worth the time to take a look at.

[trisky1234]

This will be my field +- 9 years from now :D

[allahissatan2]

cocaine will make u smart!!!

[KnowKnot]

looks like the underatanding re cue-outcome has changed since this - see Liu & Luhmann "blocking requires uncertainty about novel cues" via Google.

[chavatdon]

awesomest... speed with which he talks keeps me alive throughout.. there is so much to learn.. plus that last REM sleep relation with hippocampus is awesome

[vksonakia]

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vk sonakia

unified field scientist

bhopal

INDIA

vksonakia@yahoo.co.in

[flowewritharoma]

goood presentation!!!

[carsanookdotcom]

kool!

[chosop25]

@trisky1234  Sweet!

[raptibus]

wow, read his textbook last semester, was not expecting that.

[DanHipp]

@padmasree77 Um, I dunno, but if all you took from this presentation was that the govt is going to put wireless ID's in our heads, I'm not sure I want to tell you anyway :)