Triangle NN talk: Dan Levine

[Jonathan Marshall]

======	TRIANGLE AREA NEURAL NETWORK INTEREST GROUP presents:  ======

		Prof. DANIEL S. LEVINE
		Department of Mathematics
		University of Texas at Arlington

		Tuesday, April 2, 1991
		5:30 p.m.
		Refreshments will be served at 5:15.

		Sitterson Hall (Computer Science), room 011
		UNC Chapel Hill

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NETWORK MODELING OF NEUROPSYCHOLOGICAL DATA

A general class of neural network architectures will be discussed,
based on such principles as associative learning, competition, and
opponent processing.  Examples of this sort of architecture will be
introduced that model data on neuropsychological deficits arising from
frontal lobe damage.  These deficits include inability to switch
criteria on a card sorting task; excessive attraction to novel
stimuli; loss of verbal fluency; and difficulty in learning a flexible
motor sequence.  Frontal lobe damage is modeled in these networks by
weakening of a specified connection.

Dan Levine is author of the forthcoming textbook Introduction to
Neural and Cognitive Modeling, published by L. Erlbaum Associates,
1991.  He is a co-founder of the Dallas-Ft.Worth area neural network
interest group M.I.N.D.
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Co-Sponsored by:
  Department of Electrical and Computer Eng., NCSU 
  Department of Computer Science, UNC-CH
  Humanities Computing Facility, Duke Univ.

For more information:
  Jonathan Marshall (UNC-CH, 962-1887, marshall at cs.unc.edu) or
  John Sutton (NCSU, 737-5065, sutton at eceugs.ece.ncsu.edu).

Directions:
  Sitterson Hall is located across the street from the Carolina Inn,
  on South Columbia Street (Route 86), which is the main north-south
  street through downtown Chapel Hill.  Free parking is available in
  the UNC lots, two of which are adjacent to Sitterson Hall.
  Municipal parking lots are located 2-3 blocks north, in downtown
  Chapel Hill.

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We invite you to participate in organizing and running the new
Triangle-area neural network (NN) interest group.  It is our hope that
the group will foster communication and collaboration among the local
NN researchers, students, businesses, and the public.