This is interesting because it challenges the discrete, stepped, Turing machine
conception of thought with a continuous dynamics model. {If anyone knows of
more stuff along these lines, I'd be v. interested]. Here's a pdf of Spivey's
ideas.
http://citeseerx.ist.psu.edu/viewdoc/summary;jsessionid=5E238B3B3E62E2AF7151EF8B31599E4D?doi=10.1.1.92.3260
ICBS SEMINAR
Friday, November 7, 2008
11:am - 12:30 pm
5101 Tolman Hall
Michael Spivey, Department of Cognitive Science, UC Merced
"Continuous Temporal Dynamics in Real-time Cognition"
Rather than a sequence of logical operations performed on discrete symbols,
real-time cognition is better described as continuously changing patterns of
neuronal activity. The continuity in these dynamics indicates that, in between
describable states of mind, much of our mental activity does not lend itself to
the linguistic labels relied on by much of psychology. I will discuss
eye-tracking and computer-mouse-tracking evidence for this temporal continuity
in spoken word recognition, sentence comprehension, categorization, and even
decision-making. I will also provide geometric visualizations of mental
activity depicted as a continuous trajectory through a neuronal state space.
In this theoretical framework, close visitations of labeled attractors may
constitute word recognition events and object recognition events, but the
majority of the mental trajectory traverses unlabeled regions of state space,
resulting in multifarious mixtures of mental states.
For more about ICBS: http://icbs.berkeley.edu/
---
Josephine O'Shaughnessy -Human Resources
Helen Wills Neuroscience Institute (HWNI)
3210F Tolman Hall MC 3192
University of California, Berkeley
Berkeley, CA 94720
ph (510) 643-1274
fax: off-campus (510) 666-2593
fax: on-campus 6-2593
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agi
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