Simulating the Human Brain with Supercomputers: Exploring Advanced Neuroscience Technology

3D MRI scan of human brain

3D MRI Scan of the Human Brain

K H FUNG/Science Photo Library

Simulating the human brain involves using advanced computing power to model billions of neurons, aiming to replicate the intricacies of real brain function. Researchers aspire to enhance brain simulations, uncovering secrets of cognition with enhanced understanding of neuronal wiring.

Historically, researchers have focused on isolating specific brain regions for simulations to elucidate particular functions. However, a comprehensive model encompassing the entire brain has yet to be achieved. As Markus Diesmann from the Jülich Research Center in Germany notes, “This is now changing.”

This shift is largely due to the emergence of state-of-the-art supercomputers, nearing exascale capabilities—performing billions of operations per second. Currently, only four such machines exist, according to the Top 500 list. Diesmann’s team is set to execute extensive brain simulations on one such supercomputer, named JUPITER (Joint Venture Pioneer for Innovative Exascale Research in Germany).

Recently, Diesmann and colleagues demonstrated that a simple model of brain neurons and their synapses, known as a spiking neural network, can be configured to leverage JUPITER’s thousands of GPUs. This scaling can achieve 20 billion neurons and 100 trillion connections, effectively mimicking the human cerebral cortex, the hub of higher brain functions.

These simulations promise more impactful outcomes than previous models of smaller brains such as fruit flies. Recent insights from large language models reveal that larger systems exhibit behaviors unattainable in their smaller counterparts. “We recognize that expansive networks demonstrate qualitatively different capabilities than their reduced size equivalents,” asserts Diesmann. “It’s evident that larger networks offer unique functionalities.”

Thomas Novotny from the University of Sussex emphasizes that downscaling risks omitting crucial characteristics entirely. “Conducting full-scale simulations is vital; without it, we can’t truly replicate reality,” Novotny states.

The model in development at JUPITER is founded on empirical data from limited neuron and synapse experiments in humans. As Johanna Cenk, a collaborator with Diesmann at Sussex, explains, “We have anatomical data constraints coupled with substantial computational power.”

Comprehensive brain simulations could facilitate tests of foundational theories regarding memory formation—an endeavor impractical with miniature models or actual brains. Testing such theories might involve inputting images to observe neural responses and analyze alterations in memory formation with varying brain sizes. Furthermore, this approach could aid in drug testing, such as assessing impacts on a model of epilepsy characterized by abnormal brain activity.

The enhanced computational capabilities enable rapid brain simulations, thereby assisting researchers in understanding gradual processes such as learning, as noted by Senk. Additionally, researchers can devise more intricate biological models detailing neuronal changes and firings.

Nonetheless, despite the ability to simulate vast brain networks, Novotny acknowledges considerable gaps in knowledge. Even simplified whole-brain models for organisms like fruit flies fail to replicate authentic animal behavior.

Simulations run on supercomputers are fundamentally limited, lacking essential features inherent to real brains, such as real-world environmental inputs. “While we can simulate brain size, we cannot fully replicate a functional brain,” warns Novotny.

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Source: www.newscientist.com

Neuroscience Experts Warn That Investors’ “Foolish Transhumanist Ideas” May Impede Neurotechnology Advancement

It has been an exciting year for neurotechnology, if one overlooks the interests of its investors. A small brain transplant yielded positive results in August, as researchers decoded the inner thoughts of a paralyzed patient. In October, a procedure restored vision to individuals who had lost their eyesight.

Experts believe the field could benefit from reduced involvement from its high-profile investors, such as Elon Musk and Sam Altman from OpenAI, who are preoccupied with notions of brain uploading and merging with AI.

“It significantly skews the conversation,” noted Marcello Ienca, a neuroethics professor at the Technical University of Munich. “There are ongoing worries about the narratives they propagate.”

Michael Hendricks, a professor of neurobiology at McGill University, remarked that “wealthy individuals fascinated by unrealistic transhumanist dreams” are clouding public perception of neurotechnology’s potential. “While Neuralink is genuinely developing technology for neuroscience, Musk’s comments on topics like telepathy create confusion.”

Over recent years, Silicon Valley companies have increased their investments in neurotechnology, with Altman co-founding Merge Labs, a competitor to Musk’s Neuralink, in August. Firms like Apple and Meta are both in the process of creating wearable devices that utilize neural data, such as a Meta wristband for brainwave monitoring and headphones by Apple.

Ienca asserts that most major tech companies in the U.S. have ongoing research into neurotechnology, such as Google’s Neural Mapping project and Meta’s acquisition of Ctrl Labs. “Neurotech is quickly entering the mainstream,” he observed.

While these technologies show promise for the immediate treatment of various neurological disorders, including ALS, Parkinson’s disease, and paralysis, concerns arise regarding whether investors genuinely aim to cure these ailments.

Musk has indicated that brain-computer interfaces like Neuralink might someday enable people to “upload” their consciousness. Altman remains reticent on the subject yet speaks of “memories” and the potential to “download them into a new or robotic body.” He mentioned on his blog that the anticipated “fusion” of humans and machines could occur through genetic engineering or “implanting electrodes into the brain.” Notably, in 2018, Altman invested in a “100% lethal” brain-uploading startup and paid $10,000 to join its waiting list.

To clarify, both Hendricks and Ienca state that technologies such as brain uploading are still far from being realized, if feasible at all in the foreseeable future. “Biological systems are not akin to computers,” Hendricks emphasized.

Some worry that these ambitions might impede tangible health advancements, potentially leading to regulations that stifle innovation due to fear.




Elon Musk mentioned that individuals “may upload” their memories and “download them into a new or robotic body.” Photo: Gonzalo Fuentes/Reuters

Kristen Matthews, a mental privacy attorney at the Cooley law firm in the U.S., commented on this phenomenon: “Overhyping in science fiction can lead to regulations that obstruct technology advancements capable of genuinely aiding those in need.”

Neuroscientist Hervé Schneweis criticized this as “entirely unrealistic and obscuring genuine inquiries.” He chaired an expert committee that advised UNESCO on global standards for neurotechnology, which were adopted recently.

The current landscape of neurotechnology features three distinct categories. The first encompasses medical devices, such as a brain implant that decodes speech and Neuralink’s electronic chip that allows a man with a spinal cord injury to control a computer. The second includes consumer wearables like EEG earbuds and, more broadly, devices such as Apple’s VisionPro that track eye movements.

Lastly, there are the speculative projects like Nectome, a brain-uploading startup, and Kernel, which aims to connect the brain to a computer, alongside Neuralink’s latest initiatives. trademarking their concept of telepathy.

The first category promises the most significant breakthroughs, such as restoring vision and hearing as well as treating neurodegenerative and possibly psychiatric conditions. However, these medical devices are subject to stringent regulations and are not as advanced as reported by sensationalist media. A recent study criticized “misleading advertisements” surrounding brain-computer interfaces, asserting that the technology remains in its infancy at the outer edges of human neuroscience.

The second category, consumer wearables, presents more complex regulatory challenges. There have been numerous reports of brain-measuring devices breaching privacy, including widely discussed brainwave-monitoring helmets in China purportedly observing construction site laborers. It’s unclear whether these truly enhance productivity or pose legitimate monitoring risks.

“The robustness of the evidence supporting such systems is quite limited, with few studies being reproducible,” Ienca stated.

Hendricks added that devices like the EEG earphones sold by firms such as Emotiv are unlikely to function as effective surveillance tools due to the unreliable nature of the data, akin to the signals produced by a lie detector.

Nevertheless, Schneweis contends that these tools invoke genuine concerns: “If implemented in workplaces, they could monitor mental fatigue, and such data could lead to discrimination.”

On the other hand, speculative applications often rely on the assumption that healthy individuals willingly undergo invasive brain implants to facilitate communication with computers or telekinetic abilities.

This outcome seems improbable. If such advancements occur, they might trigger surveillance concerns. However, Hendricks expressed skepticism regarding the utility of such monitoring, suggesting it would offer no more valuable information than the detailed data tech giants already collect, including web browsing history and purchase information.

“Numerous methods exist to influence individuals using straightforward language and visual mediums,” Hendricks noted. “I doubt [that brain implants] will catch up any time soon.”

Regarding brain uploading, Hendricks believes the concept is rooted in a flawed understanding of technology, wherein individuals perceive the brain as hardware and consciousness as software that can be executed on it, a computer, or a robot.

“If I could truly upload myself to a computer and achieve immortality, I’d be inclined to end my life as long as someone assured me, ‘Oh, you’ll just reside in a metal box over there,'” he commented. “But I doubt many would take that risk. We instinctively recognize it as nonsensical.”

Source: www.theguardian.com

Debunking the Myth of the “Lizard Brain”: Neuroscience and the Truth about Mental Falsehoods

It’s been said that in times of intense stress or sudden anger, a primitive part of our brain takes control. This irrational aspect of ourselves doesn’t stem from our highly evolved human faculties, but rather from the remnants of our reptilian ancestors that have persisted in our brains despite the process of evolution. Some call it the “lizard brain.”

The lizard brain theory was formulated by neuroscientists in the 1960s, particularly by Paul McLean. As he studied the brains of humans and other animals to explore the origins of negative emotions, he found common behaviors between reptiles and mammals related to survival instincts like establishing routines and defending territory, as well as unique mammalian behaviors.

Through his research and advancements in neuroscience allowing for the comparison of brain structures, MacLean proposed that the human brain evolved from a reptilian brain with ancient lizard characteristics still preserved. He identified three distinct brains within the human brain, which he called the “brain trinity”: the oldest reptilian brain, the paleomammal complex or limbic system, and the new structures that emerged with higher primate evolution.

Paul MacLean's 'Trinity Brain' model now widely discredited by scientists – Photo credit: Getty

Despite the popularity of the triune brain theory, recent studies have challenged the notion of the lizard brain. Neuroanatomists have pointed out that the brain is not structured like an onion with successive layers resembling different species’ brains, as the Trinity theory suggests.

For instance, while the amygdala within the limbic system is more developed in primates than in rats, indicating a more complex evolutionary trajectory, the concept of progress in evolution suggests that older animals are more primitive and newer ones more sophisticated. Evolution is not just about adding new features while leaving the old ones unchanged.


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Source: www.sciencefocus.com

Utilizing Neuroscience to Discover the Ideal Children’s Toy

“Lloyd,” he told me. “His name is Lloyd.” Of course. Why is the green Lego Ninjago called a different name? This plastic figurine has shot to the top of son Sam's Christmas list.

Anyone who knows young children will relate. While they covet the Barbie Color Reveal Deluxe Styling Head, which promises instant but fleeting joy, we want to buy a woodland activity kit that is sure to nourish the body and mind.

If you are despairing of such a choice, help is readily available. Thanks to our increased understanding of the cognitive benefits of specific toys, we now have a better understanding of the relative merits of different toys. This Christmas, I decided to use this research to identify the perfect toy, or at least get as close to it as possible.

If you dig deeper into this world, you'll quickly discover that some toys are really better for young brains than others, and that computer games aren't as evil as you think. Now you know the secret to buying toys without getting bored. Cupboard.

Although toys may seem like a relatively recent invention, they have been a part of our lives for thousands of years. Analysis of rock fragments dating back 60,000 to 80,000 years in South Africa's Western Cape suggests that children may have been tinkering with dull and functionally useless copies of adult stone tools. Ta. These ancient playthings are thought to have been key to the development of cognitive skills, such as the ability to imagine alternative scenarios and come up with new ideas.

Source: www.newscientist.com

Scientists in neuroscience claim that certain dreams can accurately forecast events to come

Kamran Dibba, an anesthesiologist at the University of Michigan, and his colleagues have found that during sleep, some neurons not only replay the recent past but also anticipate future experiences.

To dynamically track the spatial tuning of neurons offline, Mahboudi others We used a novel Bayesian learning approach based on spike-triggered average decoded positions in population recordings from freely moving rats.

“Certain neurons fire in response to certain stimuli,” Dr. Dibba said.

“Neurons in the visual cortex fire when presented with an appropriate visual stimulus, and the neurons we study show location preference.”

In their study, Dr. Dibba and his co-authors aimed to study the process by which these specialized neurons generate representations of the world after new experiences.

Specifically, the researchers tracked sharp ripples, patterns of neural activity that are known to play a role in consolidating new memories and, more recently, have also been shown to tag which parts of a new experience will be stored as a memory.

“In this paper, for the first time, we observe individual neurons stabilizing spatial representations during rest periods,” said Rice University neuroscientist Dr. Caleb Kemele.

“We imagined that some neurons might change their representation, mirroring the experience we've all had of waking up with a new understanding of a problem.”

“But to prove this, we needed to trace how individual neurons achieve spatial tuning – the process by which the brain learns to navigate new routes and environments.”

The researchers trained rats to run back and forth on a raised track with liquid rewards at each end, and observed how individual neurons in the animals' hippocampus “spiked” in the process.

By calculating the average spike rate over multiple round trips, the researchers were able to estimate a neuron's place field – the area of ​​the environment that a particular neuron is most “interested” in.

“The key point here is that place fields are inferred using the animal's behavior,” Dr Kemele said.

I’ve been thinking for a long time about how we can assess neuronal preferences outside the labyrinth, such as during sleep,” Dr. Dibba added.”

“We addressed this challenge by relating the activity of individual neurons to the activity of all the other neurons.”

The scientists also developed a statistical machine learning approach that uses other neurons they examined to infer where the animals were in their dreams.

The researchers then used the dreamed locations to estimate the spatial tuning process of each neuron in the dataset.

“The ability to track neuronal preferences in the absence of stimulation was a significant advance for us,” Dr. Dibba said.”

This method confirmed that the spatial representation formed during the experience of a novel environment remained stable in most neurons throughout several hours of sleep following the experience.

But as the author predicted, there was more to the story.”

“What I liked most about this study, and why I found it so exciting, was that it showed that stabilizing memories of experiences isn’t the only thing these neurons do during sleep. It turns out some of them are doing other things after all,” Dr. Kemmele said.”

“We can see these other changes that occur during sleep, and then when we put the animals back into the environment, we can see that these changes actually reflect something that the animals learned while they were asleep.”

“It’s as if the animal is exposed to that space a second time while they’re sleeping.”

This is important because it provides a direct look at the neuroplasticity that occurs during sleep.

“It appears that brain plasticity and rewiring require very fast timescales,” Dr. Dibba said.”

This study paper In the journal Nature.

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K. Mabudi others2024. Recalibration of hippocampal representations during sleep. Nature 629, 630-638; doi: 10.1038/s41586-024-07397-x

Source: www.sci.news

Sydney Researchers Lead the Way in Brain Chip Technology Ahead of Elon Musk’s Neuralink Neuroscience

BLaine computer interface technology is at the heart of movies like Ready Player One, The Matrix, and Avatar. But outside of the world of science fiction, BCIs are used on Earth to help paralyzed people communicate, to study dreams, and to control robots.

Billionaire entrepreneur Elon Musk announced in January that his neurotechnology company Neuralink had implanted the first computer chip in a human. In February, he announced that patients can now control a computer mouse with their thoughts.

Neuralink’s purpose is noble. It is about helping people who are unable to communicate or interact with their environment. But details are scant. The project quickly raised alarms about brain privacy, the risk of hacking, and other potential issues.



Dr Steve Kassem, senior research scientist at Neuroscience Research Australia, said the Neuralink news should be taken with a “large pinch of salt”. It’s not the first company to do neural implants, he says. In fact, Australia is a ‘hotspot’ for relevant neurological research.

Does the patient dream of electric sheep?

The University of Technology Sydney project, which has received millions of dollars in funding from the Department of Defense, is now in its third phase to demonstrate how soldiers can use brain signals to control robotic dogs.

“We succeeded [demonstrating] Handa can use his brain to issue commands that direct the dog to reach its destination completely hands-free…so the dog can use its hands for other purposes. ” he says.

Soldiers use assisted reality glasses with special graphene interfaces to issue brain signal commands to send the robot dog to different locations. Lin said he is working on making the technology multi-user, faster and able to control other vehicles such as drones.

Meanwhile, Sydney company Neurode has developed a headset to help people with ADHD by monitoring the brain and sending electronic pulses to help them cope with changes. Another his UTS team is working on it. dream machine, which aims to reconstruct dreams from brain signals. It uses artificial intelligence and brainwave data to generate images from your subconscious mind.

And then there are the implants.

good signal

Synchron started at the University of Melbourne and is now based in New York. it is, Mesh inserted into blood vessels in the brain This allows patients to use the Internet by transmitting signals that operate similar to Bluetooth. People can shop, send emails, and communicate online using technology that controls computers.



Synchron has implanted and monitored mesh in many patients, including one in Australia. Patient P4, who has motor neuron disease, had mesh implanted several years ago.

“I think he’s had over 200 sessions,” says Gil Lind, Sychron’s senior director of advanced technology. “He is still progressing well with his implant treatment and is working very closely with us.

“He was able to use the computer through the system…As the disease progressed, it became very difficult to use the physical buttons.

“This allows for online banking, communication with caregivers, [with] Someone I love. ”

Dr Christina Maher from the University of Sydney’s Brain and Mind Center said Synchron’s technology is “miles ahead” of Elon Musk’s, and is more sophisticated and safer as it does not require open brain surgery. Stated. The researchers have also published more than 25 papers, she said.

“As for Neuralink, we don’t know much about it.

“My understanding is that the top priority for them is to test the effectiveness and safety of surgical robots…so they are focusing more on the robotic side of things, and this is a commercial It makes sense from a perspective.”

Need for regulation

But amidst the hype and promise of neurotechnology, there are concerns about who will have access to the beneficial technologies and how they will be protected.

Maher says it’s important to balance the need for innovation with appropriate regulation while allowing access to those who really need it. She says the “gap between the haves and have-nots” is being discussed not just in Australia but around the world.

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“As brain-computer interfaces become more common, people will be divided into those who can afford them and those who cannot,” she says.

Lind said Synchron is focused on those who have the most to gain, such as quadriplegic patients. “We want to expand it as much as possible. We hope to reach a bigger market and help more people in need,” he says.

A personal and pivotal moment for him, he says, was seeing the faces of the clinicians, team, and family of the first patient who received a successful implant.

At Neuralink, Kasem warns that there are always risks when technology is developed by a company that exists to make a profit. “A cell phone plan for the brain is not what we want,” he says.

“And what if this gets hacked? There’s always a risk when it’s not a closed system.”

But it’s more likely that Neuralink will use people’s data.

“Like every app on your phone or computer, Neuralink monitors everything it can. Everything it can,” Kasem says.

“It will be stored somewhere.”

Protect your brain data

Maher agrees that data is a big issue, saying the risk of hacking remains when devices are connected to the internet. She says much of the social media, biometrics, and other data is already out there, but her brain’s data is different.

“meanwhile [BCI companies] They are subject to the same data privacy laws…The difference in many people’s minds is that brain data is very private and it’s your personal thoughts.

“The big picture here is that once you start recording large amounts of brain data, there are absolutely megatons of data out there,” she says.

Despite privacy concerns, Kasem says interacting with the brain has exciting potential.

“We need to remember how powerful and important the brain is. All you are, all you have been, and all you will ever be is your brain and nothing else.” he says.

Quoting American physicist Emerson Pugh, he says the brain has trillions of neural connections that lead to “infinite opportunities.” hand. ”

Source: www.theguardian.com