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Smart Industry No.1 2022

Smart Industry No.1 2022 - The IoT Business Magazine - powered by Avnet Silica

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source ©: UPMC, Pitt Health Science<br />

he says. No two brains are identical<br />

and they can produce a broad<br />

range of electrical responses. The<br />

challenge, he believes, is understanding<br />

how to interpret those<br />

responses and fit that knowledge<br />

into other evidence and, thereby,<br />

enhance our means of interacting.<br />

Coopersmith’s other aspiration is<br />

to see BCI developed by neutral<br />

parties rather than big, for-profit<br />

enterprises that may be tempted<br />

to use what they learn to supercharge<br />

their marketing. “The risk is<br />

both for some upstart looking to<br />

become the next Facebook/Meta,<br />

as well as Meta itself attempting to<br />

gain even more intimate access to<br />

our thought patterns,” he says. “We<br />

see this [approach to BCI] as aligning<br />

with the goals of a Web3 or Web<br />

3.0 that is more decentralised than<br />

what we have today.”<br />

For now, BCI is still mostly useful<br />

for people who have some degree<br />

of diminished agency, for example<br />

those dealing with paralysis, but<br />

here, too, targets are shifting. “We<br />

don’t know how we will define<br />

agency in 20 to 50 years; we went<br />

from a 12-second flight on a beach<br />

[the Wright brothers, 1903) to landing<br />

on the moon [1969], events<br />

separated by just 66 years,” Coopersmith<br />

notes. “It is hubristic to<br />

predict what BCI will do.” Nonetheless,<br />

it seems likely that human beings<br />

will increasingly interact with<br />

the world and each other through<br />

the mediation of technology.<br />

Pittsburgh's<br />

RNEL<br />

lab is investigating<br />

the feasibility<br />

of using<br />

intracortical<br />

microelectrode<br />

arrays implanted<br />

in motor cortex<br />

for providing<br />

high degree of<br />

freedom control<br />

of a robotic arm.<br />

The pandemic<br />

accelerated<br />

our plans for<br />

in-home testing<br />

but this has<br />

been a goal for<br />

a long time.<br />

Jennifer L. Collinger<br />

University of Pittsburgh<br />

Rehab Neural Engineering<br />

Labs (RNEL)<br />

The direction things are heading is<br />

obvious. In May of this year, a team<br />

of neural engineers at the University<br />

of Pittsburgh’s Rehab Neural<br />

Engineering Labs (RNEL) published<br />

a proof-of-principle for a bidirectional<br />

BCI – a type of BCI that enables<br />

not just data reading but also<br />

provides feedback through data<br />

writing abilities.<br />

Taking Control<br />

In other words, it enables patients<br />

with paralysis to control a rosource<br />

©: UPMC, Pitt Health Science<br />

source ©: University of Pittsburgh, Rehab Neural Engineering Labs<br />

17

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