End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons.
Daniel AugeJulian HilleFelix KreutzEtienne MuellerAlois C. KnollPublished in: ICANN (5) (2021)
Keyphrases
- end to end
- spiking neural networks
- liquid state machine
- biologically inspired
- neuron model
- spiking neurons
- feed forward
- hebbian learning
- biologically plausible
- neural network
- cerebellar model
- learning rules
- admission control
- congestion control
- artificial neural networks
- motor control
- visual cortex
- training algorithm
- application layer
- receptive fields
- incremental learning
- neural network model
- multi modal