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Handbook of Neuroprosthetic Methods

Handbook of Neuroprosthetic Methods

Abstract

INTRODUCTION Introduction to Neuroprosthetics Warren E. Finn, Oklahoma State University Center for Health Sciences Peter G. LoPresti, University of Tulsa NEURONS AND NEURON MODELING Neuron Excitability: Membrane Ion Channels Steven Barnes, Dalhousie University Neuron Modeling Frank Ratty, Vienna University of Technology Robert Greenberg, Second Sight LLC Suzanne Resatz, Vienna University of Technology STIMULATING AND RECORDING OF NERVES AND NEURONS Stimulating Neural Activity James Weiland, Doheny Retina Institute, University of Southern California Extracellular Electrical Stimulation of Central Neurons: Quantitative Studies Dongchul Lee and Cameron McIntyre, John Hopkins University Warren Grill, Case Western Reserve University Semiconductor-Based Implantable Microsystems Wentai Liu, North Carolina State University Silicon Micro-electrodes for Extracellular Recording Jamille Hetke and David Anderson, University of Michigan PROCESSING NEURAL SIGNALS Wavelet Methods in Biomedical Signal Processing Kevin Englehart, Philip Parker, and Bernard Hudgins, University of New Brunswick Neuroprosthetic Device Design Donald Russell, Carleton University PROSTHETIC SYSTEMS Implantable Electronic Otologic Devices for Hearing Rehabilitation Kenneth Dormer, University of Oklahoma Health Science Center Visual Neuroprostheses David J. Warren and Richard A. Normann, University of Utah Motor Prostheses Richard T. Lauer, Cleveland Department of Veterans Affairs Medical Center P. Hunter Peckham, Case Western Reserve University EMERGING TECHNOLOGIES Neurotechnology: Microelectronics Danny Banks, ICT Centre, UK Biomolecular Electronics Michael C. Petty and C. Pearson, University of Durham Appendix: Summary of Computer Programs for Neuroprosthetic Analysis and Design

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
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