Electronics that mimic the human brain
Researchers at the University of Massachusetts Amherst (UMass Amherst) have discovered, while on their way to better understanding protein nanowires, how to use these biological, electricity conducting filaments to make a neuromorphic memristor, or ‘memory transistor’, device — one that runs extremely efficiently on very low power, as brains do, to carry signals between neurons. Their work has been published in the journal Nature Communications.
Tianda Fu, a PhD candidate in electrical and computer engineering and first author on the study, explained that one of the biggest hurdles to neuromorphic computing, and one that made it seem unreachable, is that most conventional computers operate at over 1 V, while the brain sends signals called action potentials between neurons at around 80 mV — many times lower. Today, a decade after early experiments, memristor voltage has been achieved in the range similar to a conventional computer, but getting below that seemed improbable.
Using protein nanowires developed at UMass Amherst from the bacterium Geobacter by microbiologist and study co-author Derek Lovley, Fu has now conducted experiments where memristors have reached neurological voltages. Those tests were carried out in the lab of electrical and computer engineering researcher and co-author Jun Yao.
“This is the first time that a device can function at the same voltage level as the brain,” Yao said. “People probably didn’t even dare to hope that we could create a device that is as power-efficient as the biological counterparts in a brain, but now we have realistic evidence of ultra-low power computing capabilities. It’s a concept breakthrough and we think it’s going to cause a lot of exploration in electronics that work in the biological voltage regime.”
Lovley noted that Geobacter’s electrically conductive protein nanowires offer many advantages over expensive silicon nanowires, which require toxic chemicals and high-energy processes to produce. Protein nanowires also are more stable in water or bodily fluids, an important feature for biomedical applications. For this work, the researchers shear nanowires off the bacteria so only the conductive protein is used, he added.
Fu said that he and Yao had set out to put the purified nanowires through their paces, to see what they are capable of at different voltages, for example. They experimented with a pulsing on-off pattern of positive-negative charge sent through a tiny metal thread in a memristor, which creates an electrical switch.
They used a metal thread because protein nanowires facilitate metal reduction, changing metal ion reactivity and electron transfer properties. Lovley said this microbial ability is not surprising, because wild bacterial nanowires breathe and chemically reduce metals to get their energy the way we breathe oxygen.
As the on-off pulses create changes in the metal filaments, new branching and connections are created in the tiny device, which is 100 times smaller than the diameter of a human hair, Yao explained. It creates an effect similar to learning — new connections — in a real brain.
“You can modulate the conductivity, or the plasticity of the nanowire–memristor synapse so it can emulate biological components for brain-inspired computing,” Yao added. “Compared to a conventional computer, this device has a learning capability that is not software-based.”
Fu recalled, “In the first experiments we did, the nanowire performance was not satisfying, but it was enough for us to keep going.” Over two years, he saw improvement until one day when his and Yao’s eyes were riveted by voltage measurements appearing on a computer screen.
“I remember the day we saw this great performance. We watched the computer as current voltage sweep was being measured. It kept going down and down and we said to each other, ‘Wow, it’s working.’ It was very surprising and very encouraging.”
The colleagues plan to follow up this discovery with more research on mechanisms, and to “fully explore the chemistry, biology and electronics” of protein nanowires in memristors, Fu said, plus possible applications — which might include a device to monitor heart rate, for example.
“This offers hope in the feasibility that one day this device can talk to actual neurons in biological systems,” Yao added.
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