1st Annual Computational Cognitive Neuroscience Conference

[Randall C. O'Reilly]

      1ST ANNUAL CONFERENCE ON COMPUTATIONAL COGNITIVE NEUROSCIENCE

                           WWW.CCNCONFERENCE.ORG

To be held in conjunction with the Dynamical Neuroscience Satellite Symposium 
of the 2005 Society for Neuroscience Meeting, Washington, D.C., and in 
subsequent years on a rotating basis with other meetings, such as (tentative 
list): CNS (Cognitive Neuroscience Society), HBM (Organization for Human 
Brain Mapping), CogSci (Cognitive Science Society), Psychonomic Society, NIPS 
(Neural Information Processing Systems), and COSYNE (Computational and 
Systems Neuroscience).

Dates:  Thu-Fri November 10 & 11, 2005
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AGENDA:

* Featured Keynote Speakers:
        James L. McClelland, Carnegie Mellon University
        Daniel M. Wolpert, University College London

* Discussion-focused symposia on:
        *Decision Making*               *Developmental Disorders*
        *Category Learning*             *Episodic Memory*

Symposia panels will include a mixture of modelers and non-modelers and will 
be held at non-overlapping times, so researchers can attend as many as they 
wish.

* Contributed presentations (talks and posters)
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Submission deadline for *early-decision* talks and posters will be May 1, 
2005. Details, including the *regular* submission deadline, will follow in a 
formal Call for Abstracts, in March.

The field of cognitive neuroscience has flourished due to advances using 
multiple methodologies such as anatomy, physiology, imaging, and behavior. 
Given the progress that has been made in each of these areas, the time is 
ripe for strong theoretical frameworks that can relate different levels of 
analysis, moving beyond basic brain/behavior correlations. The emerging field 
of Computational Cognitive Neuroscience (CCN) is ideally suited to help fill 
this need through the use of explicit computational models that bridge the 
gap between biological mechanisms and cognitive function. This meeting 
focuses on research at the intersection of neuroscience, cognitive 
psychology, and computational modeling, where neuroscience-based 
computational models are used to simulate and understand cognitive functions 
such as perception, attention, learning and memory, language, and 
higher-level cognitive functions. CCN research benefits greatly from 
collaboration with various non-modeling researchers for developing and 
interpreting relevant empirical data. A major goal for this conference is to 
create fruitful opportunities for modelers and non-modelers to interact.

Planning Committee:
Todd Braver, Washington University, St Louis; Carlos Brody, Cold Spring
Harbor; Jonathan Cohen, Princeton University; Dennis Glanzman, NIMH; Yuko 
Munakata, University of Colorado, Boulder; David Noelle, Vanderbilt 
University; and Randall O'Reilly, University of Colorado, Boulder (Chair)

For more information and to sign up for the mailing list visit:

                        WWW.CCNCONFERENCE.ORG