Understanding neurodynamical systems via Fuzzy Symbolic Dynamics

Neural Networks

Volumn 23, Issue 4, 2010, Pages 487-496

  Dobosz, Krzysztof ^a   Duch, Włodzisław ^a  

^a NICOLAUS COPERNICUS UNIVERSITY   (Poland)

Author keywords

Neurodynamical system; Symbolic dynamics; Visualization of multidimensional time series

Indexed keywords

BASIS SETS; DECOMPOSITION TECHNIQUE; FUZZY PARTITIONING; INDIVIDUAL COMPONENTS; LOCAL FIELD POTENTIALS; LOW-DIMENSIONAL SPACES; MAGNETIC POTENTIALS; MODEL SYSTEM; MULTIDIMENSIONAL DYNAMICAL SYSTEMS; MULTIDIMENSIONAL TIME; NEURODYNAMICAL SYSTEM; NONLINEAR MAPPINGS; NOVEL TECHNIQUES; OUTPUT LAYER; OXYGEN USE; RAW SIGNALS; RHYTHM GENERATOR; SIGNAL SPACES; SIGNAL STREAM; SPIKING NEURON; SYMBOLIC DYNAMICS; TIME FREQUENCY DOMAIN; WHOLE SYSTEMS;

DYNAMICAL SYSTEMS; DYNAMICS; MEMBERSHIP FUNCTIONS; NEURONS; OXYGEN; TIME SERIES;

VISUALIZATION;

ARTICLE; DYNAMICS; ELECTROENCEPHALOGRAPHY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUZZY SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; NERVE CELL STIMULATION; NEUROSCIENCE; NONLINEAR SYSTEM; OSCILLATION; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SIMULATION; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; PATTERN RECOGNITION, AUTOMATED;

EID: 77950297490     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.12.005     Document Type: Article

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