Title
Biologically Inspired SNN for Robot Control.
Abstract
This paper proposes a spiking-neural-network-based robot controller inspired by the control structures of biological systems. Information is routed through the network using facilitating dynamic synapses with short-term plasticity. Learning occurs through long-term synaptic plasticity which is implemented using the temporal difference learning rule to enable the robot to learn to associate the cor...
Year
DOI
Venue
2013
10.1109/TSMCB.2012.2200674
IEEE Transactions on Cybernetics
Keywords
Field
DocType
Neurons,Neurotransmitters,Robot sensing systems,Biological system modeling
Robot control,Temporal difference learning,Proximity sensor,Robot controller,Sonar,Artificial intelligence,Robot,Mobile robot,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
43
1
2168-2267
Citations 
PageRank 
References 
13
0.60
15
Authors
3
Name
Order
Citations
PageRank
Eric Nichols1474.22
Liam Mcdaid227030.48
Nazmul H. Siddique312515.71