Open source silicon microprobes for high throughput neural recording DOI
Long Yang, Kwang Lee, Jomar Villagracia

и другие.

Journal of Neural Engineering, Год журнала: 2019, Номер 17(1), С. 016036 - 016036

Опубликована: Ноя. 15, 2019

Objective.-Microfabricatedmultielectrode arrays are widely used for high throughput recording of extracellular neural activity, which is transforming our understanding brain function in health and disease.Currently there a plethora electrode-based tools being developed at higher education research institutions.However, taking such from the initial development phase to widespread adoption by neuroscience community often hindered several obstacles.The objective this work describe development, application, open dissemination silicon microprobes activity vivo.Approach.-Wepropose an source platform as alternative commercialization.This framework promotes that openly inexpensively available community.The designed house, but fabrication assembly processes carried out third party companies.This enables mass production, key requirement large-scale dissemination.Main results.-Wedemonstrate operation containing up 256 electrodes conjunction with optical fibers optogenetic manipulations or fiber photometry.These data provide new insights about relationship between calcium spiking activity.We also current state these tools.A file repository resources related designing, using, sharing maintained online.Significance.-Thispaper likely be valuable resource both prospective users, well developers microprobes.Based on their extensive usage number labs including ours, present promising other types technologies aimed head-fixed animals.This demonstrates importance validating photometry measurements simultaneous electrophysiological recordings.

Язык: Английский

An Integrated Brain-Machine Interface Platform With Thousands of Channels DOI Creative Commons

Elon Musk

Journal of Medical Internet Research, Год журнала: 2019, Номер 21(10), С. e16194 - e16194

Опубликована: Окт. 14, 2019

Brain-machine interfaces hold promise for the restoration of sensory and motor function treatment neurological disorders, but clinical brain-machine have not yet been widely adopted, in part, because modest channel counts limited their potential. In this white paper, we describe Neuralink's first steps toward a scalable high-bandwidth interface system. We built arrays small flexible electrode "threads," with as many 3072 electrodes per array distributed across 96 threads. also neurosurgical robot capable inserting six threads (192 electrodes) minute. Each thread can be individually inserted into brain micron precision avoidance surface vasculature targeting specific regions. The is packaged implantable device that contains custom chips low-power on-board amplification digitization: package channels occupies less than 23×18.5×2 mm

Язык: Английский

Процитировано

826

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings DOI
Nicholas A. Steinmetz, Çağatay Aydın, Anna Lebedeva

и другие.

Science, Год журнала: 2021, Номер 372(6539)

Опубликована: Апрель 15, 2021

Measuring the dynamics of neural processing across time scales requires following spiking thousands individual neurons over milliseconds and months. To address this need, we introduce Neuropixels 2.0 probe together with newly designed analysis algorithms. The has more than 5000 sites is miniaturized to facilitate chronic implants in small mammals recording during unrestrained behavior. High-quality recordings long were reliably obtained mice rats six laboratories. Improved site density arrangement combined created data methods enable automatic post hoc correction for brain movements, allowing from same 2 These probes algorithms stable free behavior, even animals such as mice.

Язык: Английский

Процитировано

820

Novel electrode technologies for neural recordings DOI
Guosong Hong, Charles M. Lieber

Nature reviews. Neuroscience, Год журнала: 2019, Номер 20(6), С. 330 - 345

Опубликована: Март 4, 2019

Язык: Английский

Процитировано

597

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review DOI Creative Commons
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed

и другие.

Frontiers in Neurorobotics, Год журнала: 2020, Номер 14

Опубликована: Июнь 3, 2020

Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves. It is worth noting that application BCI not limited to medical applications, and hence, research this field has gained due attention. Moreover, significant number related publications over past two decades further indicates consistent improvements breakthroughs have been made particular field. Nonetheless, it also mentioning with these improvements, new challenges are constantly discovered. This article provides a comprehensive review state-of-the-art complete system. First, brief overview electroencephalogram (EEG)-based systems given. Secondly, considerable popular applications reviewed terms electrophysiological control signals, feature extraction, classification algorithms, performance evaluation metrics. Finally, recent discussed, possible solutions mitigate issues recommended.

Язык: Английский

Процитировано

348

Large-scale neural recordings call for new insights to link brain and behavior DOI
Anne E. Urai, Brent Doiron, Andrew M. Leifer

и другие.

Nature Neuroscience, Год журнала: 2022, Номер 25(1), С. 11 - 19

Опубликована: Янв. 1, 2022

Язык: Английский

Процитировано

259

Flexible brain–computer interfaces DOI
Xin Tang, Hao Shen, Siyuan Zhao

и другие.

Nature Electronics, Год журнала: 2023, Номер 6(2), С. 109 - 118

Опубликована: Фев. 2, 2023

Язык: Английский

Процитировано

195

Electronic neural interfaces DOI
Milin Zhang, Zijian Tang, Xilin Liu

и другие.

Nature Electronics, Год журнала: 2020, Номер 3(4), С. 191 - 200

Опубликована: Апрель 13, 2020

Язык: Английский

Процитировано

166

PEDOT:PSS‐Based Bioelectronic Devices for Recording and Modulation of Electrophysiological and Biochemical Cell Signals DOI
Yuanying Liang, Andreas Offenhäusser, Sven Ingebrandt

и другие.

Advanced Healthcare Materials, Год журнала: 2021, Номер 10(11)

Опубликована: Май 10, 2021

To understand the physiology and pathology of electrogenic cells corresponding tissue in their full complexity, quantitative investigation transmission ions as well release chemical signals is important. Organic (semi-) conducting materials particular organic electrochemical transistor are gaining importance for electrophysiological recently biochemical due to synthetic nature thus diversity modifiability, biocompatible compliant properties, mixed electronic ionic conductivity featuring ion-to-electron conversion. Here, aim summarize recent progress on development bioelectronic devices utilizing polymer polyethylenedioxythiophene: poly(styrene sulfonate) (PEDOT:PSS) interface electronics biological matter including microelectrode arrays, neural cuff electrodes, transistors, PEDOT:PSS-based biosensors, ion pumps. Finally, material summarized improvement conductivity, stretchability, higher transconductance, or extend field application such cation sensing metabolite recognition. This survey trends PEDOT:PSS sensors highlights potential this multifunctional revolve current technology enable long-lasting, multichannel probes simultaneous recordings from cells.

Язык: Английский

Процитировано

142

Implantable aptamer–field-effect transistor neuroprobes for in vivo neurotransmitter monitoring DOI Creative Commons
Chuanzhen Zhao, Kevin M. Cheung,

Iwen Huang

и другие.

Science Advances, Год журнала: 2021, Номер 7(48)

Опубликована: Ноя. 24, 2021

Implantable aptamer transistor probes for in vivo neurotransmitter monitoring advance brain activity recording.

Язык: Английский

Процитировано

115

Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents DOI
Zhengtuo Zhao, Hanlin Zhu, Xue Li

и другие.

Nature Biomedical Engineering, Год журнала: 2022, Номер 7(4), С. 520 - 532

Опубликована: Окт. 3, 2022

Язык: Английский

Процитировано

112