Building the human-chip interface

Aarts, Arno; Bariatto, M.; Fontes, Adhemar de Barros; Neves, H.P.; Kisban, Sebastian; Ruther, Patrick; Penders, Julien; Bartic, Carmen; Verstreken, Kris; Hoof, Chris Van

doi:10.1109/iitc.2009.5090332

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…In this study, each probe comb contained 20 gold studs. Previous studies have used 16 [8], 20 [11], and 32 [14] recording electrodes per probe comb based on various packaging schemes. The gold studs facilitate electrical connections between the probe and gold traces on the Si platform during soldering.…”

Section: Design Conceptmentioning

confidence: 99%

“…Numerous 3D probe arrays have been recently demonstrated for recording neuronal activity [3][4][5][6][7][8][9][10][11][12][13][14][15]. These 3D probe arrays are implanted in the narrow space (subarachnoid space) between the pia mater and dura mater of the brain.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to the UEA process, various researchers have fabricated 2D neural probes using planar surface micromachining. The 2D probes were then assembled using a silicon (Si)-based platform to form a 3D probe array [6][7][8][9][10][11][12][13][14][15]. The advantage of this method is that the probe length is not limited by the thickness of the Si wafer and multiple electrodes can be formed at any location along the probe shank.…”

Section: Introductionmentioning

confidence: 99%

“…The narrowest traces of the probe have a width and spacing of 290 nm. Other types of CMOS-based high-density neural probe were proposed in [1,11]; these probes have a much smaller backbone than the Michigan arrays, which should enable integration in 3D arrays [11]. These probes were realized with 752 electrodes arranged in four-shaft probes with a pitch of 40 μm.…”

Section: Introductionmentioning

confidence: 99%

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3D probe array integrated with a front-end 100-channel neural recording ASIC

Cheng¹,

Yao²,

Tan³

et al. 2014

J. Micromech. Microeng.

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Brain–machine interface technology can improve the lives of spinal cord injury victims and amputees. A neural interface system, consisting of a 3D probe array and a custom low-power (1 mW) 100-channel (100-ch) neural recording application-specific integrated circuit (ASIC), was designed and implemented to monitor neural activity. In this study, a microassembly 3D probe array method using a novel lead transfer technique was proposed to overcome the bonding plane mismatch encountered during orthogonal assembly. The proposed lead transfer technique can be completed using standard micromachining and packaging processes. The ASIC can be stacking-integrated with the probe array, minimizing the form factor of the assembled module. To minimize trauma to brain cells, the profile of the integrated probe array was controlled within 730 μm. The average impedance of the assembled probe was approximately 0.55 MΩ at 1 kHz. To verify the functionality of the integrated neural probe array, bench-top signal acquisitions were performed and discussed.

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Section: Design Conceptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

3D probe array integrated with a front-end 100-channel neural recording ASIC

Cheng¹,

Yao²,

Tan³

et al. 2014

J. Micromech. Microeng.

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“…2). The signal strength for this type is a bit weaker, but less risk of scar tissue formation (Aarts et al, 2009). o Non-invasive BCI: Non-invasive BCIs are based on the analysis of Electroencephalogram (EEG) phenomena.…”

Section: : Bss Schematic Diagrammentioning

confidence: 99%

Blind Source Separation Based of Brain Computer Interface System: A review

Abdullah¹,

Zhang²

2014

RJASET

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This study reviews the originality and development of the Brain Computer Interface (BCI) system and focus on the BCI system design based on Blind Source Separation (BSS) techniques. The study also provides the recent trends and discusses some of a new ideas for BSS techniques in BCI architecture, articles which discussing the BCI system development were analysed, types of the BCI systems and the recent BCI design were explored. Since 1970 when the research of BCI system began in the California Los Angeles University, the interest and the amount of research in BCI have been increased significantly; especially, when the BSS theory emerged in 1982 by a simple discussion between researchers. A lot of refereed journals and conference papers are reviewed and categorized to make this study in useful form. However, there are a few comprehensive reviews of BSS techniques in BCI literature. The review concludes with a brief discussion and expected future of the BCI.

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