An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks.
Beyza Zeynep UcpinarMustafa Altay KaramuftuogluSasan RazmkhahMassoud PedramPublished in: CoRR (2023)
Keyphrases
- spiking neural networks
- analog vlsi
- circuit design
- high speed
- biologically inspired
- neural models
- spiking neurons
- synaptic plasticity
- chip design
- cmos technology
- power dissipation
- feed forward
- learning rules
- biologically plausible
- micron cmos
- neuron model
- motor control
- artificial neural networks
- neural network
- low power
- hebbian learning
- training algorithm
- power consumption
- synaptic weights
- network architecture
- genetic algorithm
- learning scheme
- receptive fields
- recurrent neural networks
- radial basis function
- flip flops