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
Link To Document :
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