Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission
β Scribed by H.Sebastian Seung
- Book ID
- 117608845
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 257 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0896-6273
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
RAM-based neural networks are designed to be efficiently implemented in hardware. The desire to retain this property influences the training algorithms used, and has led to the use of reinforcement (reward-penalty) learning. An analysis of the reinforcement algorithm applied to RAM-based nodes has s
Figure 1 Performance of the spiking neural network. A. The free-energies estimated by both the spiking neural network and the original RBM. They are highly correlated (correlation coefficient, r = 0.9485) B. The hidden neurons activation on the two principal components. The hidden activation pattern