Neuromorphic on-chip reservoir computing with spiking neural network architectures.
Samip KarkiDiego Chavez AranaAndrew T. SornborgerFrancesco CaravelliPublished in: CoRR (2024)
Keyphrases
- reservoir computing
- recurrent neural networks
- feed forward
- hebbian learning
- low cost
- neuron model
- high speed
- bio inspired
- analog vlsi
- neural network
- high density
- basal ganglia
- spiking neurons
- back propagation
- spiking neural networks
- artificial neural networks
- vlsi implementation
- circuit design
- learning rules
- functional verification
- evolvable hardware
- vlsi design
- single chip
- spike trains
- cmos technology
- physical design
- programmable logic
- random access memory
- feed forward neural networks
- input output