Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware.
Thomas BohnstinglAnja SurinaMaxime FabreYigit DemiragCharlotte FrenkelMelika PayvandGiacomo IndiveriAngeliki PantaziPublished in: AICAS (2022)
Keyphrases
- biologically inspired
- recurrent networks
- recurrent neural networks
- spiking neural networks
- biologically plausible
- feed forward
- feedforward neural networks
- learning rules
- hebbian learning
- echo state networks
- neural models
- neural network
- receptive fields
- spiking neurons
- artificial neural networks
- reservoir computing
- biological systems
- potential field
- real time
- cascade correlation
- neural model
- humanoid robot
- back propagation
- colour image segmentation
- feed forward neural networks
- sensory motor
- hidden layer
- video sequences
- learning algorithm