Novel visual computations
Novel visual computations
Home
Featured
Events
Projects
Publications
People
Talks
Grants
BlogBook
Contact
Light
Dark
Automatic
What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells
Laurent U Perrinet
2008-01-01
PDF
Cite
Type
Conference paper
Publication
Proceedings of COSYNE
Bayesian model
coding decoding
sparse coding
sparse hebbian learning
spike
Laurent U Perrinet
Researcher in Computational Neuroscience
My research interests include Machine Learning and computational neuroscience applied to Vision.
Related
Dynamical Neural Networks: modeling low-level vision at short latencies
Feature detection using spikes : the greedy approach
Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
Role of homeostasis in learning sparse representations
Coding static natural images using spiking event times: do neurons cooperate?
Cite
×