Towards a distributed mm-scale chronically-implantable neural interface - IEEE Brain Workshop

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In this video recorded at the 2018 IEEE Workshop on Advanced NeuroTechnologies, Timothy Constandinou of Imperial College London gives a presentation on a platform technology encompassing a family of innovations that together aim to tackle key challenges with existing implantable brain machine interfaces.

The ENGINI (Empowering Next Generation Implantable Neural Interfaces) platform utilizes a 3-tier network (external processor, cranial transponder, intracortical probes) to inductively couple power to, and communicate data from, a distributed array of freely-floating mm-scale probes. Novel features integrated into each probe include: (1) an array of niobium microwires for observing local field potentials (LFPs) along the cortical column; (2) ultra-low power instrumentation for signal acquisition and data reduction; (3) an autonomous, self-calibrating wireless transceiver for receiving power and transmitting data; and (4) a hermetically-sealed micropackage suitable for chronic use. We are additionally engineering a surgical tool, to facilitate manual and robot-assisted insertion, within a streamlined neurosurgical workflow. Ongoing work is focused on system integration and preclinical testing.

In this video recorded at the 2018 IEEE Workshop on Advanced NeuroTechnologies, Timothy Constandinou of Imperial College London gives a presentation on a platform technology encompassing a family of innovations that together aim to tackle key challenges with existing implantable brain machine interfaces.

The ENGINI (Empowering Next Generation Implantable Neural Interfaces) platform utilizes...

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