Sparse gamma rhythms arising through clustering in adapting neuronal networks

PLoS Computational Biology

Volumn 7, Issue 11, 2011, Pages

  Kilpatrick, Zachary P ^a   Ermentrout, Bard ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FOURIER SERIES; NEURAL NETWORKS; NEURONS; PERTURBATION TECHNIQUES;

ADAPTATION TIME; BRAIN STATE; CLUSTERINGS; EXCITATORY NEURONS; EXPERIMENTAL EVIDENCE; GAMMA RHYTHMS; MOTOR PROCESS; NEURONAL NETWORKS; SENSORY PROCESS; TIME-CONSTANTS;

FORECASTING;

ACCURACY; ARTICLE; CALCULATION; CLUSTER ANALYSIS; CONTROLLED STUDY; GAMMA RHYTHM; INTERMETHOD COMPARISON; INTERNEURON; NERVE CELL NETWORK; NONHUMAN; OSCILLATION; PREDICTION; PYRAMIDAL NERVE CELL; SIMULATION; SYNAPSE; ACTION POTENTIAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; CORTICAL SYNCHRONIZATION; ELECTROENCEPHALOGRAM; FOURIER ANALYSIS; HUMAN; PHYSIOLOGY; REGRESSION ANALYSIS;

ACTION POTENTIALS; BRAIN WAVES; CLUSTER ANALYSIS; COMPUTER SIMULATION; CORTICAL SYNCHRONIZATION; FOURIER ANALYSIS; HUMANS; INTERNEURONS; LEAST-SQUARES ANALYSIS; MODELS, NEUROLOGICAL; NERVE NET; PYRAMIDAL CELLS;

EID: 81355153786     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002281     Document Type: Article

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