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Warren M. Grill
Researcher at Duke University
Publications - 424
Citations - 19995
Warren M. Grill is an academic researcher from Duke University. The author has contributed to research in topics: Stimulation & Deep brain stimulation. The author has an hindex of 70, co-authored 384 publications receiving 17184 citations. Previous affiliations of Warren M. Grill include Stanford University & St. Jude Medical.
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Journal ArticleDOI
Cellular effects of deep brain stimulation: model-based analysis of activation and inhibition.
TL;DR: The hypothesis of stimulation-induced modulation of pathological network activity as a therapeutic mechanism of DBS is supported after apparently contradictory results showing suppression of activity in the stimulated nucleus, but increased inputs to projection nuclei.
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Modeling the excitability of mammalian nerve fibers: influence of afterpotentials on the recovery cycle
TL;DR: Geometrically and electrically accurate models of mammalian motor nerve fibers are developed to gain insight into the biophysical mechanisms that underlie the changes in axonal excitability and regulate the recovery cycle.
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Implanted Neural Interfaces: Biochallenges and Engineered Solutions
TL;DR: Overcoming the biophysical and biological challenges will enable effective high-density neural interfaces for stimulation and recording and consider emerging opportunities to improve neural interfaces, including cellular-level silicon to neuron connections, optical stimulation, and approaches to control inflammation.
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Selection of stimulus parameters for deep brain stimulation
Alexis M. Kuncel,Warren M. Grill +1 more
TL;DR: Synthesis of theoretical and empirical findings is used to provide guidance for the selection of stimulus parameters and the recommended charge density limit for DBS represents a liberal estimate for non-damaging stimulation.
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Extracellular stimulation of central neurons: influence of stimulus waveform and frequency on neuronal output.
TL;DR: Detailed computer-based models of CNS cells and axons were developed that accurately reproduced the dynamic firing properties of mammalian motoneurons including afterpotential shape, spike-frequency adaptation, and firing frequency as a function of stimulus amplitude to provide a biophysical basis for understanding frequency-dependent outputs during CNS stimulation and provide useful tools for selective stimulation of the CNS.