A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network.
Quang-Manh DuongQuang-Kien TrinhVan-Tinh NguyenDinh-Ha DaoLuong Duy ManhVan-Phuc HoangLongyang LinChacko John DeepuPublished in: Int. J. Circuit Theory Appl. (2023)
Keyphrases
- low power
- high speed
- spiking neural networks
- logic circuits
- cmos technology
- low cost
- power reduction
- power consumption
- biologically inspired
- power dissipation
- gate array
- delay insensitive
- vlsi circuits
- cerebellar model
- single chip
- feed forward
- digital signal processing
- liquid state machine
- spiking neurons
- mixed signal
- nm technology
- biologically plausible
- vlsi architecture
- artificial neural networks
- neural network
- motor control
- real time
- low voltage
- image sensor
- learning rules
- training algorithm
- low power consumption
- circuit design
- receptive fields
- mobile robot