Designing Behaviour in Bio-inspired Robots Using Associative Topologies of Spiking-Neural-Networks
This study explores the design and control of the behaviour of agents and robots using simple circuits of spiking neurons and Spike Timing Dependent Plasticity (STDP) as a mechanism of associative and unsupervised learning. Based on a "reward and punishment" classical conditioning, it is d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2016-12-01
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| Series: | EAI Endorsed Transactions on Collaborative Computing |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.3-12-2015.2262580 |