Ultra-Compact, Scalable, Energy-Efficient $VO_{2}$ Insulator-Metal-Transition Oxide Based Spiking Neurons for Liquid State Machines.
Samiran GangulyNikhil ShuklaAvik W. GhoshPublished in: VLSI-SOC (2020)
Keyphrases
- energy efficient
- state machines
- spiking neurons
- high temperature
- state machine
- wireless sensor networks
- energy consumption
- sensor networks
- petri net
- recurrent networks
- feed forward
- high speed
- energy efficiency
- base station
- hebbian learning
- spiking neural networks
- artificial intelligence
- sensor nodes
- neural network
- biologically plausible
- routing protocol
- recurrent neural networks
- spike trains
- data sets
- network architecture
- finite state machines
- power consumption
- sequence diagrams
- reactive systems
- sensor data
- low cost