Predictive Coding of Dynamical Variables in Balanced Spiking Networks

PLoS Computational Biology

Volumn 9, Issue 11, 2013, Pages

  Boerlin, Martin ^a   Machens, Christian K ^b   Denève, Sophie ^a  

^a ECOLE NORMALE SUPÉRIEURE   (France)

^b CHAMPALIMAUD CENTRE FOR THE UNKNOWN   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; DYNAMICAL SYSTEMS; LINEAR CONTROL SYSTEMS; LINEAR NETWORKS; NETWORK CODING; NEURAL NETWORKS;

CORTEXES; DYNAMICAL VARIABLES; LEAKY INTEGRATE AND FIRE NEURON; LINEAR DYNAMICAL SYSTEMS; NEURAL RESPONSE; NEURAL SPIKE TRAINS; NEURAL-NETWORKS; PREDICTIVE CODING; PROPERTY; SPIKING NETWORKS;

NEURONS;

ARTICLE; BRAIN CORTEX; BRAIN FUNCTION; CELL COMMUNICATION; NERVE CELL EXCITABILITY; NERVE CELL INHIBITION; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE STIMULATION; NEUROTRANSMISSION; SPIKE; STIMULUS RESPONSE;

ACTION POTENTIALS; ALGORITHMS; COMPUTATIONAL BIOLOGY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS;

EID: 84888221902     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003258     Document Type: Article

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