1.  Title of submission:

    Computational Cognitive Neuroscience Modeling using PDP++

 2. Name of contact person:

    Randy O'Reilly

 3.  Affiliation:

    Department of Psychology

 4. Address including post code/zip code and country:

    University of Colorado at Boulder
    Campus Box 345
    Boulder, CO  80309-0345

 5. Telephone:    (303) 492-0054 (phone)

   Fax:    (303) 492-2967 (fax)

   Email: oreilly@psych.colorado.edu

 6. Names and affiliations of additional authors:

   [to be announced.]

 7. Duration of your proposed tutorial:

    1/2 day

 8. Resource needs:

    could use just display panel, and could use Linux machines for
    participants. 

 9. Abstract (not to exceed 200 words), for inclusion in conference
    announcments and the program:

We have written a new textbook (O'Reilly & Munakata, 2000, "Cognitive
Neuroscience: A Computational Exploration", MIT Press) that is
centered around an extensive set of neural network simulation models
covering a wide range of cognitive phenomena.  These models are
implemented in the PDP++ simulation environment developed by O'Reilly,
Dawson, & McClelland.  We will cover a range of these models in the
tutorial, emphasizing the conceptual links between features of the
underlying biology and cognitive phenomena using computational
principles.

10. Abstract biography of presenter(s), (not to exceed 200 words total):

Dr. O'Reilly has published papers on computational models of learning
and memory in various brain areas (hippocampus, prefrontal cortex, and
neocortex), and his dissertation was on a model of learning in the
cortex motivated by computational, biological, and psychological
considerations.  He is interested in developing models of learning and
memory that explain behavior in terms of the computational properties
of their neurobiological substrates.

Recent Papers:

O'Reilly, R.C. & Farah, M.J. (1999).  Simulation and explanation in
  neurospychology and beyond. Cognitive Neuropsychology, 16, 49-72.

O'Reilly, R.C. (1998).  Six principles for biologically-based
  computational models of cortical cognition.  Trends in Cognitive
  Sciences, 2, 455-462.

McClelland, J.L., McNaughton, B.L., & O'Reilly, R.C. (1995).  Why
  there are complementary learning systems in the hippocampus and
  neocortex: Insights from the successes and failures of connectionst
  models of learning and memory. Psychological Review, 102, 419-457.

11. Case for support - Not more than 1500 words arguing the case
    for including this tutorial at Cognitive Science 1999.

    [invited]

The PDP++ tutorial, while relatively new, is used to teach at the
University of Colorado/Boulder, and will be presented by its author.
This material will be published shortly by MIT Press.