A Lightweight Hybrid Analog-Digital Spiking Neural Network for IoT.
Yung-Ting HsiehZhile LiDario PompiliPublished in: DCOSS-IoT (2024)
Keyphrases
- lightweight
- spiking neural networks
- biologically inspired
- data conversion
- printed circuit
- cerebellar model
- communication infrastructure
- spiking neurons
- feed forward
- biologically plausible
- neuron model
- motor control
- liquid state machine
- neural network
- dos attacks
- learning rules
- incremental learning
- power consumption
- support vector machine