Animation of natural scene by virtual eye-movements evokes high precision and low noise in V1 neurons

Frontiers in Neural Circuits

Volumn 7, Issue DEC, 2013, Pages

  Baudot, Pierre ^a   Levy, Manuel ^a   Marre, Olivier ^a   Monier, Cyril ^a   Pananceau, Marc ^a   Frégnac, Yves ^a  

^a Unite de Neurosciences Integratives et Computationnelles   (France)

Author keywords

Eye movements; Intracellular membrane potential dynamics; Natural visual statistics; Reliability; Sensory coding; Visual cortex

Indexed keywords

ACCURACY; ADULT; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BIOSTATISTICS; CONTROLLED STUDY; DYNAMICS; EVOKED VISUAL RESPONSE; EYE MOVEMENT; NERVE CELL MEMBRANE CONDUCTANCE; NERVE CELL MEMBRANE POTENTIAL; NOISE; NONHUMAN; NONLINEAR SYSTEM; RELIABILITY; REPRODUCIBILITY; SENSORY NERVE CELL; SENSORY SYSTEM PARAMETERS; SIGNAL NOISE RATIO; SIMULATION; SYNAPTIC POTENTIAL; VISUAL CORTEX; VISUAL STIMULATION; ACTION POTENTIAL; ANIMAL; CAT; INTRACELLULAR MEMBRANE POTENTIAL DYNAMICS; NATURAL VISUAL STATISTICS; NERVE CELL; PHOTOSTIMULATION; PHYSIOLOGY; SENSORY CODING; VISION; VISUAL FIELD;

EYE MOVEMENTS; INTRACELLULAR MEMBRANE POTENTIAL DYNAMICS; NATURAL VISUAL STATISTICS; RELIABILITY; SENSORY CODING; VISUAL CORTEX;

ACTION POTENTIALS; ANIMALS; CATS; EYE MOVEMENTS; NEURONS; PHOTIC STIMULATION; SIGNAL-TO-NOISE RATIO; VISUAL CORTEX; VISUAL FIELDS; VISUAL PERCEPTION;

EID: 84891521727     PISSN: 16625110     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncir.2013.00206     Document Type: Article

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