Selective Input Sparsity in Spiking Neural Networks for Pattern Classification.
Alexander J. LeighMoslem HeidarpurMitra MirhassaniPublished in: ISCAS (2022)
Keyphrases
- pattern classification
- spiking neural networks
- nearest neighbor rule
- biologically inspired
- pattern recognition
- sparse representation
- feature extraction
- high dimensional
- spiking neurons
- pattern classification problems
- multiscale
- biologically plausible
- input data
- learning rules
- feed forward
- feature space
- object recognition