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posted by martyb on Tuesday December 18 2018, @10:06PM   Printer-friendly
from the what-do-you-think? dept.

Toward brain-like computing: New memristor better mimics synapses

A new electronic device developed at the University of Michigan (U-M) can directly model the behaviors of a synapse, which is a connection between two neurons.

For the first time, the way that neurons share or compete for resources can be explored in hardware without the need for complicated circuits.

"Neuroscientists have argued that competition and cooperation behaviors among synapses are very important. Our new memristive devices allow us to implement a faithful model of these behaviors in a solid-state system," said Wei Lu, U-M professor of electrical and computer engineering and senior author of the study in Nature Materials.

[...] The memristor is a good model for a synapse. It mimics the way that the connections between neurons strengthen or weaken when signals pass through them. But the changes in conductance typically come from changes in the shape of the channels of conductive material within the memristor. These channels—and the memristor's ability to conduct electricity—could not be precisely controlled in previous devices.

Now, the U-M team has made a memristor in which they have better command of the conducting pathways.They developed a new material out of the semiconductor molybdenum disulfide—a "two-dimensional" material that can be peeled into layers just a few atoms thick. Lu's team injected lithium ions into the gaps between molybdenum disulfide layers.

They found that if there are enough lithium ions present, the molybdenum sulfide transforms its lattice structure, enabling electrons to run through the film easily as if it were a metal. But in areas with too few lithium ions, the molybdenum sulfide restores its original lattice structure and becomes a semiconductor, and electrical signals have a hard time getting through.

Related: This Tiny Electronic Chip Is Just 3 Atoms Thick
A New Generation of Artificial Retinas Based on 2-D Materials
Purdue University Researchers Identify Molybdenum Ditelluride as a Material for Next-Gen Memory

Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing (DOI: 10.1038/s41563-018-0248-5) (DX)


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  • (Score: 2) by takyon on Wednesday December 19 2018, @07:34PM

    by takyon (881) <reversethis-{gro ... s} {ta} {noykat}> on Wednesday December 19 2018, @07:34PM (#776455) Journal

    If karma was not capped at 50 here, I'd probably have well over 20,000. I could then use that accumulated karma to advance up and become a Lvl. 69 White Knight.

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