A data-driven framework for neural field modeling

NeuroImage

Volumn 56, Issue 3, 2011, Pages 1043-1058

  Freestone, D R ^a,b,c   Aram, P ^d   Dewar, M ^c,e   Scerri, K ^f   Grayden, D B ^a,b   Kadirkamanathan, V ^d  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b BIONIC EAR INSTITUTE   (Australia)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

^d UNIVERSITY OF SHEFFIELD   (United Kingdom)

^e Columbia University ^*  (United States)

^f UNIVERSITY OF MALTA   (Malta)

Author keywords

Intracortical connectivity; Neural field model; Nonlinear dynamics; Nonlinear estimation

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; BRAIN ELECTROPHYSIOLOGY; BRAIN FUNCTION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DATA ANALYSIS; DATA SYNTHESIS; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NEURAL FIELD MODEL; PRIORITY JOURNAL; SENSOR;

ALGORITHMS; CEREBRAL CORTEX; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTROPHYSIOLOGICAL PHENOMENA; ELECTROPHYSIOLOGY; HUMANS; LEAST-SQUARES ANALYSIS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; NERVE NET; NEURONS; NONLINEAR DYNAMICS; PRESYNAPTIC TERMINALS;

EID: 79955464627     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.02.027     Document Type: Article

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