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Brain Inspired Cognitive Systems - BICS2004

University of Stirling, Scotland, UK
August 29 – September 1, 2004

First International ICSC Symposium on
Cognitive Neuro Science (CNS 2004)
(from computationally inspired models to brain-inspired computation)Chair: Prof. Igor Aleksander, Imperial College London, U.K
i.aleksander@imperial.ac.uk

Second International ICSC Symposium on
Biologically Inspired Systems (BIS 2004)
Chair: Prof. Leslie Smith, University of Stirling, U.K.
lss@cs.stir.ac.uk

Third International ICSC Symposium on
Neural Computation (NC'2004)
Chair: Dr. Amir Hussain, University of Stirling, U.K.
ahu@cs.stir.ac.uk

Why this conference, and who should attend:

The science of neural computation focuses on mathematical aspects for solving complex practical problems. It also seeks to help neurology, brain theory and cognitive psychology in the understanding of the functioning of the nervous system by means of computational models of neurons, neural nets and sub-cellular processes. BICS2004 aims to become a major point of contact for research scientists, engineers and practitioners throughout the world in the fields of cognitive and computational systems inspired by the brain and biology.

Participants will share the latest research, developments and ideas in the wide arena of disciplines encompassed under the heading of BICS2004, which is a follow-up of the previous two successful NC conferences: NC'1998 in Vienna (Austria) and NC'2000 in Berlin, (Germany).


A) Cognitive Neuro Science (CNS)
(from computationally inspired models to brain-inspired computation)

Chair: Igor Aleksander, Imperial College London, U.K.

Cognitive neuroscience covers both: computational models of the brain and brain inspired algorithms and artifacts.

All the areas below may be interpreted in both ways.

  • Attention
  • Working memory
  • The modeling of deficits
  • Imagination and imagery
  • Awareness, self and Consciousness
  • The role of emotions in cognition
  • Language and other communication
  • The role of evolution
  • Functional Magnetic Resonance Imaging (fMRI, etc.)
  • Neurons
  • Brain Chemistry (neuromodulators and neurotransmitters)
  • Cognitive Impairments (e.g. autism, Alzheimer's etc ..)
  • Multi-sense perception and sensor fusion
  • Chaos models of the brain-mind links
  • Action: embodiment, planning, vetoing and emotive evaluation


B) Biologically Inspired Systems (BIS)
Chair: Leslie Smith, U of Stirling, U.K.

Systems are inspired by many different aspects of biology.

We are interested in systems at all levels from VLSI engineered to software to mathematical models.

B.1. NEUROMORPHIC SYSTEMS:

Topics:

  • Sensor and Sensory Systems: Computer Vision, Audition, Olfaction,
  • High-level Perception
  • Intelligent Sensor Fusion and Sensor/motor integration
  • Smart Human-machine Communication
  • Autonomous Robots
  • Behavior based Control
  • Hardware- and Software Implementations

B.2. NEUROPHYSIOLOGICALLY INSPIRED MODELS

Topics:

  • Neuro-physiological foundations
  • Spiking neuron models and neuron assemblies
  • Models of brain centers and sensory pathways
  • Sensation, Perception and Attention
  • Spatio-temporal Orientation
  • Reactive Behaviour


C) Neural Computation (NC)
Chair: Amir Hussain, U of Stirling, U.K.

C.1. COMPUTATIONAL NEURAL NETWORK MODELS

Neural Computation covers models, software and hardware implementations together with applications.

Topics:

  • Artificial neural network paradigms
  • Knowledge representation
  • Learning and generalization
  • Probabilistic neural networks
  • Information theoretic approaches
  • Time-coded neural networks
  • Pulse-coded neural networks
  • Self-organization
  • Cellular automata
  • Hybrid systems (e.g. neuro-fuzzy, GA, evolutionary strategies)
  • Chaos in neural networks
  • Statistical and numerical aspects

C.2. SOFTWARE AND HARDWARE IMPLEMENTATIONS

Topics:

  • Simulation and Graphical Programming Tools
  • Distributed Systems
  • Neuro-chips, -controllers and -computers
  • Analog and Digital Electronic Implementations
  • Optic, Holographic Implementations

C.3. NEURAL NETWORK APPLICATIONS

  • Pre-processing and Feature Extraction
  • Sound, Speech and Image Processing
  • Pattern Recognition and System Identification
  • Computer Vision, Feature Binding and Image Understanding
  • Autonomous Sensor Systems, Multivariate Sensor Fusion
  • Robotics and Control
  • Behaviour based Exploration and Planning
  • Power Systems
  • Environmental Systems
  • Decision Support Systems
  • Medical Applications
  • Operational Research and Logistics


As part of this conference we plan to have a Student Paper Competition. Students are encouraged to submit papers that will be peer reviewed. Accepted papers need to be presented at the conference The organizing committee of the conference will select the two best papers for the award. First prize will be $100 and the second prize $50. Special discounts are available for students to register for the conference and will include CDROM proceedings.

SYMPOSIUM ORGANIZERS:

ICSC Canada

University of Stirling

Imperial College of London

Commitee Members:

  • S. S. Raza Abidi, Dalhousie University, Canada
  • S. Amari, RIKEN Brain Science Institute, Japan
  • P. Anderson, RIT, USA
  • W. Armstrong, Dendronic Decisions, Canada
  • H. Bischof, Technical University Graz, Austria
  • H. H. Bothe, Technical University of Denmark Lyngby, Denmark
  • R. Brause, University of Frankfurt, Germany
  • Ch. deSilva, The University of Western Australia, Australia
  • Jaeseok Choi, Professor, Gyeongsang National University, Korea
  • S. Collins, University of Oxford, U.K.
  • L. Cromme, Brandenburgische Technische Universität Cottbus, Germany
  • H. Cruse, University of Bielefeld, Germany
  • V. Di Gesu', University of Padova, Italy
  • G. Dorffner, Austrian Research Institute for AI, Vienna, Austria
  • Marco Dorigo, Universite' Libre de Bruxelles, Belgium
  • R. Douglas, ETH Zurich, Switzerland
  • B. Fritzke, University of Dresden, Germany
  • Fyfe Colin, University of Paisley Scotland, U.K.
  • Fukushima K., Tokyo University of Technology, Japan
  • W. Gerstner, EPFL-LAMI Lausanne, Switzerland
  • Stan Gielen, University of Nijmegen, The Netherlands
  • A. Hamilton, University of Edinburgh Scotland, U.K.
  • Ch. Harris, University of Southampton, U.K.
  • D. Heiss, Eudaptics Software.com, Vienna, Austria
  • M. Heiss, Siemens AG Austria, Austria
  • G. Indiveri, ETH Zurich, Switzerland
  • L. Jain, University of South Australia, Australia
  • Ch. Kennard, Imperial College London, U.K.
  • Ch. Koch, California Institute of Technology, USA
  • P. Koenig, ETH Zurich, Switzerland
  • T.W. Lee, University of California San Diego, USA
  • S. Liu, ETH Zurich, Switzerland
  • D. Lowe, Aston University Birmingham, U.K.
  • G.N. Marichal, University of La Laguna Tenerife, Spain
  • A. Murray, University of Edinburgh Scotland, U.K.
  • F. Naghdy, University of Wollongong, Australia
  • K. Narendra, Yale University, USA
  • S. Pal, Indian Statistical Institute Calcutta, India
  • M. Palaniswami, University of Melbourne, Australia
  • Y. Pao, Case Western Reserve University, USA
  • A. Pavlov, S.I.Vavilov State Optical Institute St Petersburg, Russia
  • W. Pedrycz, University of Alberta, Canada
  • S. Rose, The Open University Milton Keynes, USA (visiting prof. University College London, U.K.)
  • S. Sabatini, University of Genova, Italy
  • R. Stotzka, Forschungszentrum Karlsruhe Eggenstein, Germany
  • P. Szczepaniak, Technical University of Lodz, Poland
  • E. Szczerbicki, University of Newcastle, Australia
  • J. Taylor, Kings' College London, U.K.
  • H. Tolle, Technical University Darmstadt, Germany
  • Thanos Vasilakos, University of Thessaly,Greece
  • P. Verschure, ETH Zurich, Switzerland
  • L. Wang, Nanyang Technological University, Singapore
  • U. Zimmer, Australian National University Canberra, Australia

 

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