Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays.
Alpha RennerYulia SandamirskayaFriedrich T. SommerEdward Paxon FradyPublished in: ICONS (2022)
Keyphrases
- neuron model
- single neuron
- feed forward
- spiking neural networks
- sparse matrix
- spiking neurons
- learning rules
- hebbian learning
- hardware and software
- real time
- artificial neural networks
- biologically inspired
- low cost
- spike trains
- control algorithm
- vector space
- neural network
- sparse data
- bio inspired
- sparse representation
- embedded systems
- recurrent neural networks
- hardware implementation
- biologically plausible
- data acquisition
- back propagation
- vlsi implementation
- feature vectors
- high dimensional
- learning algorithm