Category: brain hacking

By Amelia Podder 

A breakthrough discovery at University of Limerick in Ireland has revealed for the first time that unconventional brain-like computing at the tiniest scale of atoms and molecules is possible.

Researchers at University of Limerick’s Bernal Institute worked with an international team of scientists to create a new type of organic material that learns from its past behaviour.

The discovery of the ‘dynamic molecular switch’ that emulate synaptic behaviour is revealed in a new study in the international journal Nature Materials.

The study was led by Damien Thompson, Professor of Molecular Modelling in UL’s Department of Physics and Director of SSPC, the UL-hosted Science Foundation Ireland Research Centre for Pharmaceuticals, together with Christian Nijhuis at the Centre for Molecules and Brain-Inspired Nano Systems in University of Twente and Enrique del Barco from University of Central Florida.

Continue reading… “‘Brain-Like Computing’ Possible At Molecular Level, Reveal Scientists”

An implanted device translates brain activity into written sentences.

By Nicoletta Lanese

An implanted device allows a man to translate his brain signals into written words.

A man who developed paralysis and lost his ability to speak following a stroke can now communicate using a system that translates his brain’s electrical signals into individual letters, allowing him to craft whole words and sentences in real time. 

To use the device, which receives signals from electrodes implanted in his brain, the man silently attempts to say code words that stand in for the 26 letters of the alphabet, according to a new report, published Tuesday (Nov. 8) in the journal Nature Communications(opens in new tab). These code words come from the NATO phonetic alphabet, in which “alpha” stands for the letter A, “bravo” for B and so on. 

“The NATO phonetic alphabet was developed for communication over noisy channels,” Sean Metzger (opens in new tab), the study’s first author and a doctoral candidate in the University of California, Berkeley and University of California, San Francisco’s Graduate Program in Bioengineering, told Live Science. “That’s kind of the situation we’re in, where we’re in this noisy environment of neural recordings.” The researchers initially tried using individual letters instead of code words, but their system struggled to distinguish phonetically similar letters, such as B, D, P and G. 

Continue reading… “1st patient with new ‘mind-reading’ device uses brain signals to write”

By Joshua Hawkins

Memory loss is a terrible thing. With so many brain injuries and diseases able to cause significant loss of memory, scientists have spent a long time looking for ways to restore or improve memory in those cases. Now, a group of researchers has managed to create a memory-improving prosthesis with an improvement rate of around 50 percent.

The new and unique form of brain stimulation mimics how the brain creates memories. The system isn’t extremely advanced at the moment, relying on a single electrode that needs to be situated deep into the brain. However, the memory-improving prosthesis has shown amazing effectiveness overall and could probably be even more impressive with a more advanced setup.

If that happens, the possibilities of what they could do with it are astounding. The memory-improving prosthesis works by copying exactly what the human brain’s hippocampus does. This part of the brain is vital to memory storage and creation.

The researchers initially tested it in animals and in some patients with epilepsy. During this time, they tested two different versions of the memory-improving prosthesis in 24 different people. The researchers implanted electrodes to study the patient’s epilepsy. Some of these individuals also had brain injuries and saw results change depending on the electrode used.

Continue reading… “DARPA developed a brain-zapping prosthesis that improves memory by 50%”

 By PESALA BANDARA

Researchers are developing “mind-reading” technology that can translate a person’s brainwaves into photographic images. 

In an article published in Nature, researchers at Radboud University in the Netherlands revealed the results from an experiment where they showed photos of faces to two volunteers inside a powerful brain-reading functional magnetic resonance imaging (fMRI) scanner. 

An fMRI scanner is a type of noninvasive brain imaging technology that detects brain activity by measuring changes in blood flow.

As the volunteers looked at the images of faces, the fMRI scanned the activity of neurons in the areas of their brain responsible for vision. 

The researchers then fed this information into a computer’s artificial intelligence (AI) algorithm which could build an accurate image based on the information from the fMRI scan. 

Continue reading… “‘Mind-Reading’ Technology Translates Brainwaves into Photos”

Networks of nanoscale resistors that work in a similar way to nerve cells in the body could offer advantages over digital machine learning

By Alex Wilkins

A resistor that works in a similar way to nerve cells in the body could be used to build neural networks for machine learning.

Many large machine learning models rely on increasing amounts of processing power to achieve their results, but this has vast energy costs and produces large amounts of heat.

One proposed solution is analogue machine learning, which works like a brain by using electronic devices similar to neurons to act as the parts of the model. However, these devices have so far not been fast, small or efficient enough to provide advantages over digital machine learning.

Murat Onen at the Massachusetts Institute of Technology and his colleagues have created a nanoscale resistor that transmits protons from one terminal to another. This functions a bit like a synapse, a connection between two neurons, where ions flow in one direction to transmit information. But these “artificial synapses” are 1000 times smaller and 10,000 times faster than their biological counterparts.

Just as a human brain learns by remodelling the connections between millions of interconnected neurons, so too could machine learning models run on networks of these nanoresistors.

“We are doing somewhat similar things [to biology], like ion transport, but we are now doing it so fast, whereas biology couldn’t,” says Onen, whose device is a million times faster than previous proton-transporting devices.

Continue reading… “‘Artificial synapse’ could make neural networks work more like brains”

BRAIN-INSPIRED CIRCUITRY JUST TOOK A HUGE LEAP FORWARD.

BY DAN ROBITZSKI

Scientists have finally decoded the bizarre behaviors of brain cells — and recreated them in tiny computer chips.

The tiny neurons could change the way we build medical devices because they replicate healthy biological activity but require only a billionth of the energy needed by microprocessors, according to a University of Bath.

Neurons behave similar to electrical circuits within the body, but their behavior is less predictable — especially when it comes to parsing the relationship between their input and output electrical impulses. But these new artificial brain cells successfully mimic the behavior of rat neurons from two specific regions of the brain, according to researchpublished Tuesday in Nature Communications.

“Until now neurons have been like black boxes, but we have managed to open the black box and peer inside,” University of Bath physicist Alain Nogaret said in the release. “Our work is paradigm changing because it provides a robust method to reproduce the electrical properties of real neurons in minute detail.”

Continue reading… “SCIENTISTS FINALLY BUILD ARTIFICIAL BRAIN CELLS”

By Hope Corrigan

Move over Alder Lake, this is a new kind of hybrid chip.

As a lover of tough single player games, I’m quite accustomed to getting my butt handed to me by AI, and usually not even a real one. I also happen to be the owner of a full sized human brain. Though it’s not without its problems, the human brain’s ability to learn and change is usually why I eventually overcome those difficult in-game challenges.

So when I read about a few human brain cells in a petri dish that are already performing much better at a videogame than AI can, it’s concerning to me and my gaming future. New Scientist reports that a team in Australia has been growing these small puddles of brain and now one has learnt to play Pong, in fairly impressive time.

Cortical labs is a company working on integrating biological neurons with your more traditional silicon based computing hardware. They grow brain cells on microelectronic arrays, so the cells can be stimulated. These hybrid chips are said to be able to learn and restructure themselves to get past problems, like stopping a sneaky ball that wants in your goal.

Continue reading… “Scientists taught a petri dish of brain cells to play pong faster than an AI”

The Robot used by the Applied Computational Neuroscience research group of the University of Granada.

Researchers at Human Brain Project partner University of Granada in Spain have designed a new artificial neural network that mimics the structure of the cerebellum, one of the evolutionarily older parts of the brain, which plays an important role in motor coordination. When linked to a robotic arm, their system learned to perform precise movements and interact with humans in different circumstances, surpassing performance of previous AI-based robotic steering systems. The results have been published in the journal Science Robotics.

It is the most biologically realistic and detailed model of the cerebellum to date capable of work in real-time, and replicates not only aspects of the structure, but also its adaptability and capacity to learn. By taking inspiration from the brain in this way, the scientists were able to solve one of the common technological challenges in robotics: Their cerebellar spiking neural network enables the robot to deal with so-called latency, or time delays, which is a central real-world problem for computational systems in robotics, especially during wireless or remote steering.

The research could also help to control new bio-inspired robots, which are equipped with elastic and flexible components that replicate the muscles and tendons of the human body. Such “co-bots” are safer for human interaction, but their flexibility makes it difficult to use classical control techniques. 

Continue reading… “Human Brain Project: Researchers design artificial cerebellum that can learn to control a robot’s movement”