Literature DB >> 11499528

Single-unit neural recording with active microelectrode arrays.

Q Bai1, K D Wise.   

Abstract

This paper discusses the single-unit recording characteristics of microelectrode arrays containing on-chip signal processing circuitry. Probes buffered using on-chip unity-gain operational amplifiers provide an output resistance of 200 ohm with an input-referred noise of 11-muV root-mean-square (rms) (100 Hz-10 kHz). Simultaneous in vivo recordings from single neurons using buffered and unbuffered (passive) iridium recording sites separated by less than 20 microm have shown that the use of on-chip circuitry does not significantly degrade system noise. Single-unit neural activity has also been studied using probes containing closed-loop preamplifiers having a voltage gain of 40 dB and a bandwidth of 13 kHz, and several input dc-baseline stabilization techniques have been evaluated. Low-noise in vivo recordings with a multiplexed probe have been demonstrated for the first time using an external asymmetrical clock running at 200 kHz. The multiplexed system adds less than 8-muV rms of noise to the recorded signals, suppressing the 5-V clock transitions to less than 2 ppm.

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Year:  2001        PMID: 11499528     DOI: 10.1109/10.936367

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  27 in total

1.  Environmentally-controlled microtensile testing of mechanically-adaptive polymer nanocomposites for ex vivo characterization.

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Review 2.  Neural engineering to produce in vitro nerve constructs and neurointerface.

Authors:  Bryan J Pfister; Jason H Huang; Niranjan Kameswaran; Eric L Zager; Douglas H Smith
Journal:  Neurosurgery       Date:  2007-01       Impact factor: 4.654

3.  Large-scale recording of thalamocortical circuits: in vivo electrophysiology with the two-dimensional electronic depth control silicon probe.

Authors:  Richárd Fiáth; Patrícia Beregszászi; Domonkos Horváth; Lucia Wittner; Arno A A Aarts; Patrick Ruther; Hercules P Neves; Hajnalka Bokor; László Acsády; István Ulbert
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

4.  Listening to Brain Microcircuits for Interfacing With External World-Progress in Wireless Implantable Microelectronic Neuroengineering Devices: Experimental systems are described for electrical recording in the brain using multiple microelectrodes and short range implantable or wearable broadcasting units.

Authors:  Arto V Nurmikko; John P Donoghue; Leigh R Hochberg; William R Patterson; Yoon-Kyu Song; Christopher W Bull; David A Borton; Farah Laiwalla; Sunmee Park; Yin Ming; Juan Aceros
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2010       Impact factor: 10.961

5.  Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording.

Authors:  Jorg Scholvin; Justin P Kinney; Jacob G Bernstein; Caroline Moore-Kochlacs; Nancy Kopell; Clifton G Fonstad; Edward S Boyden
Journal:  IEEE Trans Biomed Eng       Date:  2016-01       Impact factor: 4.538

6.  A PDMS-based conical-well microelectrode array for surface stimulation and recording of neural tissues.

Authors:  Liang Guo; Kathleen W Meacham; Shawn Hochman; Stephen P DeWeerth
Journal:  IEEE Trans Biomed Eng       Date:  2010-06-14       Impact factor: 4.538

7.  Chronic In Vivo Evaluation of PEDOT/CNT for Stable Neural Recordings.

Authors:  Takashi D Y Kozai; Kasey Catt; Zhanhong Du; Kyounghwan Na; Onnop Srivannavit; Razi-Ul M Haque; John Seymour; Kensall D Wise; Euisik Yoon; Xinyan Tracy Cui
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-15       Impact factor: 4.538

Review 8.  Improving data quality in neuronal population recordings.

Authors:  Kenneth D Harris; Rodrigo Quian Quiroga; Jeremy Freeman; Spencer L Smith
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

9.  Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem.

Authors:  David A Borton; Yoon-Kyu Song; William R Patterson; Christopher W Bull; Sunmee Park; Farah Laiwalla; John P Donoghue; Arto V Nurmikko
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 10.  Sensors and decoding for intracortical brain computer interfaces.

Authors:  Mark L Homer; Arto V Nurmikko; John P Donoghue; Leigh R Hochberg
Journal:  Annu Rev Biomed Eng       Date:  2013       Impact factor: 9.590

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