Connectionists: Workshop on the Synergism of ANN, Bioinformatics and Neuroinformatics, IJCNN, 4.08.05

Nik Kasabov nkasabov at aut.ac.nz
Tue Jul 12 17:27:38 EDT 2005


Dear colleagues,
 
The following Workshop is free to attend and to present your views/results:
http://faculty.uwb.edu/ijcnn05/Workshops/bio-neuro-info.html
 
See you there.
 
Nik Kasabov
 
 
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Artificial Neural Networks, Bioinformatics and Neuroinformatics - A Synergistic ApproachTopics and Goals: The aim of the workshop is to bring together researchers from at least three areas of science: information and mathematical sciences, neuroscience, and molecular biology, in order to discuss in an open forum the synergistic development of these areas in the future. Opportunities to develop new artificial neural network (ANN) models and new models of brain functions that take into account the latest discoveries in molecular biology and bioinformatics will be discussed, along with methods and systems for solving problems in bioinformatics and neuro-informatics with the use of novel ANN approaches. Topics Include: Novel, biologically plausible models of ANN and their dynamics. Spiking neurons and spiking neural networks. Evolving and evolutionary neural networks. New mathematical approaches to modeling biologically plausible ANN. Software and hardware systems that facilitate the synergistic study of brain functions, molecular biology and ANN dynamics. Learning and adaptation in molecular biology related to brain functions. Genes and gene regulatory networks related to brain functions. Neurogenetic models of brain development, brain diseases, learning and memory, evolution and plasticity. Molecular computing Applications Where are ANNs going next? Organizers:
Prof. Nik Kasabov (nkasabov at aut.ac.nz) and Prof. Amir Assadi.Intended audience: The workshop is aimed at a broader audience of computer scientists, mathematicians, cognitive scientists, engineers, bioinformaticians, molecular biologists, neurophysiologists. In a sense it will be a summary of the IJCNN conference aimed at outlining new directions for further research in ANN. Prof. Nik Kasabov, MSc, PhD
FRSNZ, FNZCS, SrMIEEE
Founding Director and Chief Scientist - 
Knowledge Engineering and Discovery Research Institute, KEDRI
Chair of Knowledge Engineering, School of Computer and Information Sciences 
Auckland University of Technology 
phone: +64 9 917 9506 ; fax: +64 9 917 9501
WWW http://www.kedri.info
email: nkasabov at aut.ac.nz
(PA Joyce D'Mello: jdmello at aut.ac.nz; +64 9 917 9504)  





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