Novel visual computations
Novel visual computations
Home
Featured
Events
Projects
Publications
People
Talks
Grants
BlogBook
Contact
Light
Dark
Automatic
Sparse Image Coding Using an Asynchronous Spiking Neural Network
Laurent U Perrinet
,
Manuel Samuelides
2002-01-01
Cite
Type
Conference paper
Publication
Proceedings of ESANN
Progressive reconstruction of a static image using spikes in a Laplacian pyramid.
area-v1
receptive field
sparse coding
Laurent U Perrinet
Researcher in Computational Neuroscience
My research interests include Machine Learning and computational neuroscience applied to Vision.
Manuel Samuelides
Related
Emergence of filters from natural scenes in a sparse spike coding scheme
Sparse Gabor wavelets by local operations
An adaptive homeostatic algorithm for the unsupervised learning of visual features
Role of homeostasis in learning sparse representations
Coding static natural images using spiking event times: do neurons cooperate?
Cite
×