DocumentCode
2579867
Title
Keynote address I: From artificial to biologically-connected neural systems and behavior regeneration
Author
Xin, Xu Jian
Author_Institution
NUS, Singapore, Singapore
fYear
2011
fDate
3-5 June 2011
Firstpage
1
Lastpage
1
Abstract
Artificial neural network is a class of biologically-inspired systems that offer solutions to various real-life problems. In this talk, we will present recent advances on neural systems at anatomical and system levels. Recent researches on C. elegans disclose the complete wire diagram of the synaptic connections and morphology of C. elegans associated with functionalities. This enables not only the biologically-inspired neural modeling, but also biologically-connected neural modeling using dynamic neural networks. Real animal behaviors can thus be explored and regenerated through the celebrated neural learning algorithms.
Keywords
learning (artificial intelligence); neural nets; artificial neural network; behavior regeneration; biologically-connected neural modeling; biologically-connected neural systems; biologically-inspired neural modeling; biologically-inspired systems; dynamic neural networks; neural learning algorithm; Artificial neural networks; Biology; Conferences; Control systems; Evolutionary computation; Fellows; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location
Chennai, Tamil Nadu
Print_ISBN
978-1-4577-0588-5
Type
conf
DOI
10.1109/ICRTIT.2011.5972489
Filename
5972489
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