Emergence of filters from natural scenes in a sparse spike coding scheme

Neurocomputing

Volumn 58-60, Issue , 2004, Pages 821-826

  Perrinet, Laurent ^a  

^a Institut de neurosciences cognitives de la Méditerranée   (France)

Author keywords

Sparse spike coding; Unsupervised learning; Vision

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; LEARNING SYSTEMS; PHYSIOLOGY;

BIOLOGICAL CONSTRAINTS; SPARSE SPIKE CODING;

NEUROLOGY;

ALGORITHM; ARTICLE; CODING; CONTROLLED STUDY; DYNAMICS; FILTER; IMAGE RECONSTRUCTION; INFORMATION PROCESSING; LEARNING; MATHEMATICAL COMPUTING; NATURAL SCIENCE; NEUROPHYSIOLOGY; PHOTORECEPTOR POTENTIAL; PRIORITY JOURNAL; REGULATORY MECHANISM; SPIKE WAVE; SYNAPTIC TRANSMISSION; VISUAL CORTEX; VISUAL INFORMATION;

EID: 2542438027     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.133     Document Type: Article

References (8)

1. Lewicki M.S. Sejnowski T.J. Learning overcomplete representations Neural Comput. 12 2 2000 337-365
2. Mallat S. A Wavelet Tour of Signal Processing 1998 Academic Press New York
3. Olshausen B. Field D.J. Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Res. 37 1998 3311-3325
4. Perrinet L. Samuelides M. Coherence detection in a spiking neuron via hebbian learning Neurocomputing 44-46 2002 133-139
5. Perrinet, L. Samuelides, M. Thorpe, S. Coding static natural images using spiking event times: do neurons cooperate? 2002, submitted for publication; URL http://laurent.perrinet.free.fr/publi/perrinet03ieee.pdf
6. Perrinet L. Samuelides M. Thorpe S. Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit Neurocomputing 57 2004 125-134
7. Thorpe S.J. Fize D. Marlot C. Speed of processing in the human visual system Nature 381 1996 520-522
8. Van Rullen R. Thorpe S.J. Rate coding versus temporal order coding: what the retina ganglion cells tell the visual cortex Neural Comput. 13 6 2001 1255-1283