Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells

PLoS Computational Biology

Volumn 10, Issue 5, 2014, Pages

  Dähne, Sven ^a,b,c   Wilbert, Niko ^b,c   Wiskott, Laurenz ^b,c,d  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

^c BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

^d RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALDEHYDES; CODES (SYMBOLS); CYTOLOGY; FUNCTIONS; MAMMALS; NEURONS; OPHTHALMOLOGY;

ACTIVITY PATTERNS; CODING STRATEGY; COMPLEX CELLS; FEATURE ANALYSIS; MAMMALIAN SPECIES; NEURAL ACTIVITY; PROPERTY; SPARSE CODING; STRUCTURING PROCESS; VISUAL SYSTEMS;

CELLS;

ARTICLE; CONTROLLED STUDY; MATHEMATICAL ANALYSIS; RETINA IMAGE; RETINA NERVE CELL; RETINA RECEPTIVE FIELD; RETINAL WAVE; SLOW FEATURE ANALYSIS; STATISTICAL ANALYSIS; STRIATE CORTEX; VISUAL FIELD; VISUAL ORIENTATION; VISUAL SYSTEM; VISUAL SYSTEM PARAMETERS; ANIMAL; BIOLOGICAL MODEL; BIOLOGICAL RHYTHM; COMPUTER SIMULATION; ELECTROENCEPHALOGRAM; HUMAN; NERVE CELL NETWORK; PHYSIOLOGY; VISION; VISUAL CORTEX;

ANIMALS; BIOLOGICAL CLOCKS; BRAIN WAVES; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; RETINAL NEURONS; VISUAL CORTEX; VISUAL PERCEPTION;

EID: 84901660868     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003564     Document Type: Article

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