Artificial neural network based characterization of the volume of tissue activated during deep brain stimulation

Journal of Neural Engineering

Volumn 10, Issue 5, 2013, Pages

  Chaturvedi, Ashutosh ^a,b   Luján, J Luis ^b   McIntyre, Cameron C ^a,b  

^a Case Western Reserve University   (United States)

^b LERNER RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION FUNCTIONS; COMPUTATIONAL RESOURCES; COMPUTATIONAL TOOLS; DEEP BRAIN STIMULATION; ELECTRODE CONFIGURATIONS; ELECTRODE CONTACTS; MULTIPLE ELECTRODES; STIMULATION PARAMETERS;

COMPUTER PROGRAMMING; SURGERY; TISSUE;

NEURAL NETWORKS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN DEPTH STIMULATION; CONDUCTANCE; ELECTRODE; IMPEDANCE; NERVE FIBER; NERVE POTENTIAL; PRIORITY JOURNAL;

AXONS; BRAIN; DEEP BRAIN STIMULATION; ELECTRIC STIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS;

EID: 84885461070     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/10/5/056023     Document Type: Article

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