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
โฆ LIBER โฆ
Synaptic plasticity model of a spiking neural network for reinforcement learning
โ Scribed by Kyoobin Lee; Dong-Soo Kwon
- Book ID
- 113815547
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 326 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0925-2312
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How could synapse number and position on a dendrite affect neuronal behavior with respect to the decoding of firing rate and temporal pattern? We developed a model of a neuron with a passive dendrite and found that dendritic length and the particular synapse positions directly determine the behavior