Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks.
Pachaya SailamulJaeson JangSe-Bum PaikPublished in: J. Comput. Neurosci. (2017)
Keyphrases
- feedforward neural networks
- spiking neurons
- neural network
- feed forward
- back propagation
- recurrent neural networks
- hidden layer
- error function
- multilayer perceptron
- synaptic weights
- extreme learning machine
- convergence rate
- activation function
- learning rules
- artificial neural networks
- hebbian learning
- backpropagation algorithm
- feed forward neural networks
- training algorithm
- convergence speed
- transfer learning
- action potentials
- multi layer perceptron
- spiking neural networks
- spike trains
- evolutionary algorithm
- reinforcement learning