Abstract | ||
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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 Nichols | 1 | 47 | 4.22 |
Liam Mcdaid | 2 | 270 | 30.48 |
Nazmul H. Siddique | 3 | 125 | 15.71 |