scholarly journals Age-related Spike Timing Dependent Plasticity of Brain-inspired Model of Visual Information Processing with Reinforcement Learning

2020 ◽  
Author(s):  
Petia Koprinkova-Hristova ◽  
Nadejda Bocheva
Keyword(s):  
Information Processing ◽  
Reinforcement Learning ◽  
Visual Information ◽  
Visual Information Processing ◽  
Spike Timing ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity ◽  
Age Related

STDP Training of Hierarchical Spike Timing Model of Visual Information Processing

2020 ◽  
Author(s):  
Petia Koprinkova-Hristova ◽  
Simona Nedelcheva ◽  
Nadejda Bocheva ◽  
Radolsava Kraleva ◽  
Velin Kralev ◽  
...  
Keyword(s):  
Information Processing ◽  
Visual Information ◽  
Visual Information Processing ◽  
Spike Timing ◽  
Timing Model

scholarly journals Spike timing dependent plasticity implements reinforcement learning

2007 ◽  
Vol 8 (Suppl 2) ◽  
pp. S16 ◽  
Author(s):  
Roberto A Santiago ◽  
Patrick D Roberts ◽  
Gerardo Lafferriere
Keyword(s):  
Reinforcement Learning ◽  
Spike Timing ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity

An implementation of reinforcement learning based on spike timing dependent plasticity

2008 ◽  
Vol 99 (6) ◽  
pp. 517-523 ◽  
Author(s):  
Patrick D. Roberts ◽  
Roberto A. Santiago ◽  
Gerardo Lafferriere
Keyword(s):  
Reinforcement Learning ◽  
Spike Timing ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity

Soft-Reward Based Reinforcement Learning by Spiking Neural Networks

2011 ◽  
Vol 219-220 ◽  
pp. 770-773
Author(s):  
Wei Ya Shi
Keyword(s):  
Neural Networks ◽  
Reinforcement Learning ◽  
Synaptic Weight ◽  
Spike Timing ◽  
Benchmark Dataset ◽  
Spiking Neural Networks ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity ◽  
Winner Take All ◽  
Take All

In this paper, we propose algorithm based reinforcement learning for spiking neural networks. The algorithm simulates biological adaptability and uses the soft-reward from environment to modulate the synaptic weight, which combines spike-timing-dependent plasticity (STDP), winner-take-all mechanism. The algorithm is tested to classify a number of standard benchmark dataset. The obtained results show the effectiveness of the proposed algorithm.

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