Biologically Inspired SNN for Robot Control

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 imple...

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Veröffentlicht in:	IEEE transactions on cybernetics 2013-02, Vol.43 (1), p.115-128
Hauptverfasser:	Nichols, Eric, McDaid, Liam J., Siddique, Nazmul
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Biological system modeling Computer Simulation Dynamic synapses Models, Neurological Neural Networks, Computer Neuronal Plasticity Neurons Neurotransmitters Robot sensing systems Robotics - methods self-organization spiking neural network (SNN) temporal difference (TD) learning rule
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