Spiking neural circuits with dendritic stimulus processors - Encoding, decoding, and identification in reproducing kernel Hilbert spaces.
Aurel A. LazarYevgeniy B. SlutskiyPublished in: J. Comput. Neurosci. (2015)
Keyphrases
- spike trains
- reproducing kernel hilbert space
- reproducing kernel
- neuron model
- spiking neurons
- uniform convergence
- gaussian kernels
- spiking neural networks
- learning rules
- learning theory
- kernel methods
- covering numbers
- loss function
- biologically plausible
- feed forward
- euclidean space
- kernel function
- domain adaptation
- data dependent
- neural network
- hilbert space
- biologically inspired
- learning problems
- network architecture
- shape analysis
- kernel matrix
- gaussian process
- representer theorem
- support vector