Computationally efficient simulation of electrical activity at cell membranes interacting with self-generated and externally imposed electric fields

Journal of Neural Engineering

Volumn 10, Issue 2, 2013, Pages

  Agudelo Toro, Andres ^a,b   Neef, Andreas ^a,b,c  

^a MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^b Bernstein Focus Neurotechnology   (Germany)

^c UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR ELECTROPHYSIOLOGY; COMPUTATIONALLY EFFICIENT; DEEP BRAIN STIMULATION; ELECTRICAL ACTIVITIES; EXTRACELLULAR ACTION POTENTIAL; EXTRACELLULAR POTENTIAL; INTRACELLULAR POTENTIALS; TRADITIONAL APPROACHES;

CELL MEMBRANES; COMPUTATIONAL METHODS; CYTOLOGY; ELECTRIC FIELDS; ELECTROPHYSIOLOGY; ENZYME ACTIVITY; MAXWELL EQUATIONS; MORPHOLOGY; NEUROLOGY; SURGERY;

BODY FLUIDS;

ACCURACY; ARTICLE; CELL MEMBRANE; CELL STRUCTURE; COMPUTER ANALYSIS; ELECTRIC ACTIVITY; ELECTRIC FIELD; EXTRACELLULAR SPACE; NERVE CELL MEMBRANE POTENTIAL; PRIORITY JOURNAL; SIMULATION;

ACTION POTENTIALS; ALGORITHMS; CELL MEMBRANE; COMPUTER SIMULATION; DEEP BRAIN STIMULATION; ELECTROMAGNETIC FIELDS; ELECTROPHYSIOLOGICAL PROCESSES; EVOKED POTENTIALS; EXTRACELLULAR SPACE; HUMANS; MODELS, NEUROLOGICAL; NEURAL CONDUCTION; NEURONS; PRESYNAPTIC TERMINALS; SOFTWARE; TRANSCRANIAL MAGNETIC STIMULATION;

EID: 84875857214     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/10/2/026019     Document Type: Article

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