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CreatorTitleDescriptionSubjectDate
1 Harrison, Reid R.Design of integrated circuits to observe brain activityThe ability to monitor the simultaneous electrical activity of multiple neurons in the brain enables a wide range of scientific and clinical endeavors. Recent efforts to merge miniature multielectrode neural recording arrays with integrated electronics have revealed significant circuit design chall...Amplifiers; Analog integrated circuits; Biomedical signal processing; Low-power circuit design; Neural recording; Subthreshold circuit design; Neural signals; Brain activity2008-01-01
2 Harrison, Reid R.Local field potential measurement with low-power analog integrated circuitLocal field potentials (LFPs) in the brain are an important source of information for basic research and clinical (i.e., neuroprosthetic) applications. The energy contained in certain bands of LFPs in the 10-100 Hz range has been shown to correlate with specific arm movement parameters in nonhuman ...Local field potentials; Neural recording; Low-power circuit design; Neural prosthesis; VLSI2004-01-01
3 Harrison, Reid R.Low-power integrated circuit for adaptive detection of action potentials in noisy signalsThe advent of microelectrode arrays allowing for the simultaneous recording of 100 or more neurons is leading to significant advances in science and medicine. However, the amount of data generated by these arrays presents a technical challenge if these systems are ever to be fully implanted for n...Low-power; Spike detection; Neural recording; Low-power circuit design; Neuroprosthesis; CMOS2003-01-01
4 Harrison, Reid R.Low-power low-noise CMOS amplifier for neural recording applicationsThere is a need among scientists and clinicians for low-noise low-power biosignal amplifiers capable of amplifying signals in the millihertz-to-kilohertz range while rejecting large dc offsets generated at the electrode-tissue interface. The advent of fully implantable multielectrode arrays has cre...Bioamplifier; Analog integrated circuits; Biosignal amplifier; Low noise; Low-power circuit design; Neural recordings; Neural amplifier; Noise efficiency factor; Subthreshold circuit design; Weak inversion2003-06
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