Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding.
Seongbin OhDongseok KwonGyuho YeomWon-Mook KangSoochang LeeSung Yun WooJaehyeon KimJong-Ho LeePublished in: IEEE Access (2022)
Keyphrases
- low power
- spiking neurons
- spiking neural networks
- high speed
- logic circuits
- cmos technology
- power reduction
- vlsi circuits
- low cost
- power consumption
- delay insensitive
- power dissipation
- biologically inspired
- spike trains
- synaptic weights
- neural models
- mixed signal
- biologically plausible
- learning rules
- feed forward
- artificial neural networks
- hebbian learning
- low power consumption
- neural network
- neural network model
- motor control
- digital signal processing
- training algorithm
- input patterns
- image sensor
- gate array
- asynchronous circuits
- receptive fields
- genetic algorithm