Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code.
Michael SchmukerRüdiger KupperAd AertsenThomas WachtlerMarc-Oliver GewaltigPublished in: Biol. Cybern. (2021)
Keyphrases
- feed forward
- noise tolerant
- spiking neural networks
- back propagation
- spiking neurons
- neural network
- neural nets
- artificial neural networks
- recurrent neural networks
- hidden layer
- noisy data
- biologically plausible
- neuron model
- instance based learning algorithms
- activation function
- visual cortex
- feed forward neural networks
- feature vectors
- high dimensional
- learning algorithm
- data sets