Multicore Spiking Neuromorphic Chip in 180-nm With ReRAM Synapses and Digital Neurons.
Hao JiangJikai LuChenggao ZhangShuangzhu TangJunjie AnLingli ChengJian LuJinsong WeiKeji ZhouXumeng ZhangTuo ShiQi LiuPublished in: IEEE J. Emerg. Sel. Topics Circuits Syst. (2023)
Keyphrases
- spiking neural networks
- spiking neurons
- hebbian learning
- neural models
- biologically inspired
- neuron model
- metal oxide semiconductor
- synaptic plasticity
- circuit design
- spike trains
- biologically plausible
- learning rules
- feed forward
- mixed signal
- single neuron
- low cost
- artificial neural networks
- hodgkin huxley
- receptive fields
- neural network
- cmos technology
- high speed
- level parallelism
- cmos image sensor
- computer systems
- phase locked loop
- recurrent neural networks
- bio inspired
- nm technology
- associative memory
- synaptic weights
- analog vlsi
- low power
- high density
- neural model
- control algorithm
- training algorithm
- silicon on insulator