A Near-Threshold Spiking Neural Network Accelerator With a Body-Swapping-Based In Situ Error Detection and Correction Technique.
Seongjong KimJoao Pedro CerqueiraMingoo SeokPublished in: IEEE Trans. Very Large Scale Integr. Syst. (2019)
Keyphrases
- error detection and correction
- spiking neural networks
- biologically inspired
- error correction
- cerebellar model
- data transmission
- human body
- feed forward
- neuron model
- biologically plausible
- liquid state machine
- spiking neurons
- learning rules
- artificial neural networks
- receptive fields
- neural network
- incremental learning