SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture.
Junxiu LiuJim HarkinLiam P. MaguireLiam McDaidJohn J. WadePublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- hardware architecture
- spiking neural networks
- biologically inspired
- cerebellar model
- hardware implementation
- liquid state machine
- learning rules
- artificial neural networks
- feed forward
- biologically plausible
- hardware architectures
- spiking neurons
- associative memory
- field programmable gate array
- training algorithm
- neural network
- motor control
- radial basis function
- neuron model
- general purpose
- training data
- feature extraction
- learning algorithm