A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

PLoS Computational Biology

Volumn 6, Issue 9, 2010, Pages

  Markounikau, Valentin ^a   Igel, Christian ^a   Grinvald, Amiram ^b   Jancke, Dirk ^a,b  

^a RUHR UNIVERSITY BOCHUM   (Germany)

^b WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

INTEGRODIFFERENTIAL EQUATIONS; NEURAL NETWORKS; NEURONS; PHYSIOLOGICAL MODELS; SUPERCONDUCTING MATERIALS;

ACTIVITY DYNAMICS; CORTICAL ACTIVITY; DYNAMIC NEURAL FIELD MODEL; MESOSCOPICS; NEURAL FIELD MODELS; NONLINEAR CHARACTERISTICS; PHYSIOLOGICAL DATA; POPULATION ACTIVITIES; VISUAL CORTEXES; VOLTAGE-SENSITIVE DYE IMAGING;

POPULATION STATISTICS;

ARTICLE; BRAIN DEPTH STIMULATION; CALCULATION; CONTROLLED STUDY; DYNAMIC NEURAL FIELD MODEL; IMAGING SYSTEM; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MOTION; NERVE CELL; NERVOUS SYSTEM FUNCTION; PREDICTION; STIMULUS RESPONSE; VISUAL CORTEX; VISUAL STIMULATION; VOLTAGE SENSITIVE DYE IMAGING;

EID: 78049430893     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000919     Document Type: Article

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