Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways

PLoS Computational Biology

Volumn 9, Issue 10, 2013, Pages

  Farkhooi, Farzad ^a   Froese, Anja ^a   Muller, Eilif ^b   Menzel, Randolf ^a   Nawrot, Martin P ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR NEURAL NETWORKS; COMPUTER ARCHITECTURE; NEURONS;

CELLULAR ADAPTATION; DYNAMIC REDUCTION; LATE STAGE; MEAN FIELD APPROACH; MODELLING FRAMEWORK; NEURAL-NETWORKS; PERIPHERAL SENSORY; POPULATION DENSITIES; SENSORY NETWORKS; SENSORY PROCESSING;

POPULATION STATISTICS;

ARTICLE; BRAIN CORTEX; BRAIN FUNCTION; CELL ACTIVITY; CELL FUNCTION; CELL STRUCTURE; CONCEPTUAL FRAMEWORK; INSECT; MOLECULAR DYNAMICS; MOLECULAR MECHANICS; MUSHROOM BODY; NERVE CELL INHIBITION; NERVE CELL NETWORK; NERVE CELL STIMULATION; NONHUMAN; NONLINEAR SYSTEM; OLFACTORY SYSTEM; POPULATION DENSITY; POSTSYNAPTIC POTENTIAL; RELIABILITY; SENSORY NERVE CELL; SENSORY STIMULATION; SEQUENTIAL ANALYSIS; SIGNAL NOISE RATIO; SPIKE WAVE; STIMULUS RESPONSE;

BASIDIOMYCOTA; HEXAPODA;

ACTION POTENTIALS; ANIMALS; BEES; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; MUSHROOM BODIES; SENSORY RECEPTOR CELLS; SMELL;

EID: 84887281192     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003251     Document Type: Article

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