A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors.
Kangjun BaiYang Yi BradleyPublished in: ISQED (2018)
Keyphrases
- energy efficient
- reservoir computing
- delayed feedback
- basal ganglia
- recurrent neural networks
- wireless sensor networks
- feed forward
- biologically plausible
- energy consumption
- sensor networks
- spike trains
- human brain
- multi hop
- base station
- bio inspired
- parallel algorithm
- spiking neural networks
- data dissemination
- energy efficiency
- shortest path
- sink node
- multi core architecture
- data transmission
- parallel processing
- sensor nodes
- routing protocol
- parallel computing
- artificial neural networks
- neural network
- network structure
- battery powered
- intelligent systems