NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images.
Pedro MachadoGeorgina CosmaT. Martin McGinnityPublished in: CoRR (2019)
Keyphrases
- natural images
- object recognition
- sparse coding
- higher order
- natural scenes
- multiscale
- receptive fields
- biologically inspired
- denoising
- spiking neural networks
- input image
- image patches
- visual cortex
- statistics of natural images
- superpixels
- biologically plausible
- natural image statistics
- computer vision
- feed forward
- image statistics
- image quality
- natural image patches
- feature vectors
- feature extraction
- learning algorithm