Analysis of the Neurodynamic Substrate of the Action-Perception Cycle –
Experiments and Modeling
Workshop at IEEE/INNS IJCNN 2007 Conference
August 17, 2007
Organizers: Robert Kozma (rkozma<@>memphis.edu), Colin Molter (cmolter<@>brain.riken.jp) and Peter Andras (Peter.Andras<@>ncl.ac.uk) |
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Scope
Advanced brain monitoring techniques provide a previously unimaginable insight into brain functions, from the lowest cellular level, through mesoscopic organization, to high level cognitive functions. High resolution EEG, electrocorticogram ECoG, MEG, fMRI and other tools are widely used to this aim. Scientists working in this area observe an emerging paradigm shift from studying specific parts of brains and functionalities of these brain parts towards describing the operation of the whole brain as a starting point for investigation. A main function of the brain is to maintain an intentional action-perception cycle through which the subject interacts with its environment to achieve its endogenously-generated goals. Studying various aspects of the action-perception cycle is a powerful framework to identify and analyze to neurodynamic substrates of higher cognition and ultimately intelligence. Results of these studies help to understand normal and pathological brain functions, provide avenues for clinical advances, and also to construct artificially intelligent devices in computational and hardware, robotics domains.
This Workshop brings together experimental neuroscientists,
computer scientists, and cognitive scientists to introduce and interpret novel
experimental findings, and propose computational models for the observations.
Experimental aspects addressed in the WS include findings on large-scale
cortical networks identified in recent studies, cognitive correlates of network
dynamics in the brain, identification of causal relationships in cortical
areas. Possible theoretical and computational models of the observed
physiological and behavioral phenomena include
massive recurrent neural network architectures with nonconvergent
dynamics; discrete cellular neural nets; fractal structures and fractal
dynamics; self-organized criticality; small-world networks, among others.
Potential clinical applications include epilepsy and other mental disorders.
Engineering applications may be directed to develop autonomous robotic systems;
networks of robots; sensory processing and multi-sensory fusion, among others.
Program (Link
to Abstracts)
Guidelines for Speakers
To maintain a visible and explicit unity
among the different talks invited in this workshop, we invite the speakers to
spend a few minutes at the end of their talks to answer the following
question: What
does neurodynamics mean, and why is it important/unavoidable in the study developed by the
author? This question should be answered in a didactic way and should bridge
the different talks together Day Schedule (subject to changes)
Session
1 : Neurodynamics of Cognitive Functions
Coffee Break - 11:00 - 11:15 Session 2 (11:15 - 12:35): Experimental
Advanced in Neurodynamics
Lunch Break - 12:30 - 14:00 Session 3 : Models of Neurodynamics
of Perception and Action
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Materials of the Workshop are to be
published in an edited volume or a journal special issue.
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