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Brain-Computer Interface ResearchNext Generation Microscale Wireless Implant System for High-Density, Multi-areal, Closed-Loop Brain Computer Interfaces

Brain-Computer Interface Research: Next Generation Microscale Wireless Implant System for... [A major challenge to high-resolution, closed-loop Brain Computer Interfaces (BCIs) is the availability of implantable technologies facilitating vastly parallel, large-scale access to cortical neural data representing complex, naturalistic tasks or sophisticated therapeutic neuromodulation. The current technological bottleneck is scalability of systems employing intra or epicortical electrode arrays with hard-wired tethers and bulky implant packaging. We address these challenges by employing an approach relying on spatially-distributed, completely wireless clusters of autonomous microscale neural interfaces, where each microdevice provides a single bidirectional channel (read-out and write-in) of neural access, and occupies a volume <0.01 mm2 inclusive of biocompatible packaging for long-term implantation. Wireless power transfer, high-bandwidth bidirectional telecommunications and adaptive networking across multi-areal clusters are managed by a wearable external module to produce an implantable device system with anatomic flexibility and scalability, forming a “cortical internet”.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain-Computer Interface ResearchNext Generation Microscale Wireless Implant System for High-Density, Multi-areal, Closed-Loop Brain Computer Interfaces

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-60459-2
Pages
39 –51
DOI
10.1007/978-3-030-60460-8_4
Publisher site
See Chapter on Publisher Site

Abstract

[A major challenge to high-resolution, closed-loop Brain Computer Interfaces (BCIs) is the availability of implantable technologies facilitating vastly parallel, large-scale access to cortical neural data representing complex, naturalistic tasks or sophisticated therapeutic neuromodulation. The current technological bottleneck is scalability of systems employing intra or epicortical electrode arrays with hard-wired tethers and bulky implant packaging. We address these challenges by employing an approach relying on spatially-distributed, completely wireless clusters of autonomous microscale neural interfaces, where each microdevice provides a single bidirectional channel (read-out and write-in) of neural access, and occupies a volume <0.01 mm2 inclusive of biocompatible packaging for long-term implantation. Wireless power transfer, high-bandwidth bidirectional telecommunications and adaptive networking across multi-areal clusters are managed by a wearable external module to produce an implantable device system with anatomic flexibility and scalability, forming a “cortical internet”.]

Published: Apr 2, 2021

Keywords: Brain-Computer Interface (BCI); Electrocorticographic (ECoG); Bidirectional wireless neural interfaces; Neuroprosthetics; Cortical internet

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