Spike-based population coding and working memory

PLoS Computational Biology

Volumn 7, Issue 2, 2011, Pages

  Boerlin, Martin ^a,b   Denève, Sophie ^a,b  

^a ECOLE NORMALE SUPÉRIEURE   (France)

^b INSERM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); NEURAL NETWORKS; NEURONS;

MOTOR TASKS; OPTIMAL DECISIONS; POPULATION CODING; POPULATIONS OF SPIKING NEURONS; PROBABILISTIC COMPUTATION; PROBABILITY: DISTRIBUTIONS; SENSORY INTEGRATION; SPIKE TRAIN; UNCERTAINTY; WORKING MEMORY;

PROBABILITY DISTRIBUTIONS;

ACTION POTENTIAL; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; MEMORY CONSOLIDATION; NERVE CELL NETWORK; NERVE CELL STIMULATION; POISSON DISTRIBUTION; PREDICTION; PROBABILITY; SENSORY NERVE CELL; STOCHASTIC MODEL; WORKING MEMORY; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; CAT; COMPUTER SIMULATION; HUMAN; MEMORY; NERVE CELL; PHYSIOLOGY; SENSORY FEEDBACK;

ACTION POTENTIALS; ANIMALS; CATS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FEEDBACK, SENSORY; HUMANS; MEMORY; MODELS, NEUROLOGICAL; NEURONS; POISSON DISTRIBUTION;

EID: 79952458995     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001080     Document Type: Article

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