On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding.
Jiseong ImJaehyeon KimHonam YooJong-Won BaekDongseok KwonSeongbin OhJangsaeng KimJoon HwangByung-Gook ParkJong-Ho LeePublished in: IEEE Access (2022)
Keyphrases
- spiking neurons
- spiking neural networks
- biologically inspired
- neural models
- feed forward
- artificial neural networks
- biologically plausible
- synaptic weights
- spike trains
- learning rules
- neural network
- hebbian learning
- higher order
- artificial intelligence
- motor control
- receptive fields
- radial basis function
- multi modal
- training algorithm
- expert systems
- multiscale