NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images.
Pedro MachadoGeorgina CosmaT. Martin McGinnityPublished in: ICANN (1) (2019)
Keyphrases
- natural images
- object recognition
- sparse coding
- natural scenes
- higher order
- multiscale
- visual cortex
- spiking neural networks
- image patches
- denoising
- input image
- biologically inspired
- biologically plausible
- scale invariant
- image statistics
- statistics of natural images
- natural image statistics
- computer vision
- receptive fields
- feed forward
- multi modal
- natural image patches
- network architecture
- unsupervised learning
- image segmentation
- neural network