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Will future computers run on human brain cells?

Johns Hopkins researchers break ground on new field of ‘organoid intelligence’

JOHNS HOPKINS UNIVERSITY

Thomas Hartung with brain organoids — IMAGE: THOMAS HARTUNG WITH BRAIN ORGANOIDS IN HIS LAB AT THE JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH view more
CREDIT: WILL KIRK/JOHNS HOPKINS UNIVERSITY

A “biocomputer” powered by human brain cells could be developed within our lifetime, according to Johns Hopkins University researchers who expect such technology to exponentially expand the capabilities of modern computing and create novel fields of study.

The team outlines their plan for “organoid intelligence” today in the journal Frontiers in Science.

“Computing and artificial intelligence have been driving the technology revolution but they are reaching a ceiling,” said Thomas Hartung, a professor of environmental health sciences at the Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering who is spearheading the work. “Biocomputing is an enormous effort of compacting computational power and increasing its efficiency to push past our current technological limits.”

For nearly two decades scientists have used tiny organoids, lab-grown tissue resembling fully grown organs, to experiment on kidneys, lungs, and other organs without resorting to human or animal testing. More recently Hartung and colleagues at Johns Hopkins have been working with brain organoids, orbs the size of a pen dot with neurons and other features that promise to sustain basic functions like learning and remembering.

“This opens up research on how the human brain works,” Hartung said. “Because you can start manipulating the system, doing things you cannot ethically do with human brains.”

Hartung began to grow and assemble brain cells into functional organoids in 2012 using cells from human skin samples reprogrammed into an embryonic stem cell-like state. Each organoid contains about 50,000 cells, about the size of a fruit fly’s nervous system. He now envisions building a futuristic computer with such brain organoids.

Computers that run on this “biological hardware” could in the next decade begin to alleviate energy-consumption demands of supercomputing that are becoming increasingly unsustainable, Hartung said. Even though computers process calculations involving numbers and data faster than humans, brains are much smarter in making complex logical decisions, like telling a dog from a cat.

“The brain is still unmatched by modern computers,” Hartung said. “Frontier, the latest supercomputer in Kentucky, is a $600 million, 6,800-square-feet installation. Only in June of last year, it exceeded for the first time the computational capacity of a single human brain — but using a million times more energy.”

It might take decades before organoid intelligence can power a system as smart as a mouse, Hartung said. But by scaling up production of brain organoids and training them with artificial intelligence, he foresees a future where biocomputers support superior computing speed, processing power, data efficiency, and storage capabilities.

“It will take decades before we achieve the goal of something comparable to any type of computer,” Hartung said. “But if we don't start creating funding programs for this, it will be much more difficult.”

Organoid intelligence could also revolutionize drug testing research for neurodevelopmental disorders and neurodegeneration, said Lena Smirnova, a Johns Hopkins assistant professor of environmental health and engineering who co-leads the investigations.

“We want to compare brain organoids from typically developed donors versus brain organoids from donors with autism,” Smirnova said. “The tools we are developing towards biological computing are the same tools that will allow us to understand changes in neuronal networks specific for autism, without having to use animals or to access patients, so we can understand the underlying mechanisms of why patients have these cognition issues and impairments.”

To assess the ethical implications of working with organoid intelligence, a diverse consortium of scientists, bioethicists, and members of the public have been embedded within the team.

Johns Hopkins authors included: Brian S. Caffo, David H. Gracias, Qi Huang, Itzy E. Morales Pantoja, Bohao Tang, Donald J. Zack, Cynthia A. Berlinicke, J. Lomax Boyd, Timothy DHarris, Erik C. Johnson, Jeffrey Kahn, Barton L. Paulhamus, Jesse Plotkin, Alexander S. Szalay, Joshua T. Vogelstein, and Paul F. Worley.

Other authors included: Brett J. Kagan, of Cortical Labs; Alysson R. Muotri, of the University of California San Diego; and Jens C. Schwamborn of University of Luxembourg.

IMAGES: Top: Thomas Hartung with brain organoids in his lab at the Johns Hopkins Bloomberg School of Public Health. Credit: Will Kirk/Johns Hopkins University. Bottom: A close-up of a brain organoid. Credit: Jesse Plotkin/Johns Hopkins University. High resolution images available.

Magnified image of a brain organoid produced in Thomas Hartung’s lab, dyed to show neurons in magenta, cell nuclei in blue, and other supporting cells in red and green.

CREDIT

Jesse Plotkin/Johns Hopkins University

Johns Hopkins University news releases are available online, as is information for reporters. To arrange an interview with a Johns Hopkins expert, contact a media representative listed above. Find more Johns Hopkins experts on the Experts Hub, and more Johns Hopkins stories on the Hub.

JOURNAL

Frontiers in Science

SUBJECT OF RESEARCH

Human tissue samples

ARTICLE TITLE

Organoid intelligence: a new biocomputing frontier

ARTICLE PUBLICATION DATE

28-Feb-2023

Scientists unveil plan to create

biocomputers powered by human

brain cells

Despite AI’s impressive track record, its computational power pales in comparison with a human brain. Now, scientists unveil a revolutionary path to drive computing forward: organoid intelligence, where lab-grown brain organoids act as biological hardware

Peer-Reviewed Publication

FRONTIERS

Organoid intelligence requires new cell culture and bioengineering technologies — IMAGE: INFOGRAPHIC: ORGANOID INTELLIGENCE: THE NEW FRONTIER IN BIOCOMPUTING view more
CREDIT: FRONTIERS/JOHN HOPKINS UNIVERSITY

Artificial intelligence (AI) has long been inspired by the human brain. This approach proved highly successful: AI boasts impressive achievements – from diagnosing medical conditions to composing poetry. Still, the original model continues to outperform machines in many ways. This is why, for example, we can ‘prove our humanity’ with trivial image tests online. What if instead of trying to make AI more brain-like, we went straight to the source?

Scientists across multiple disciplines are working to create revolutionary biocomputers where three-dimensional cultures of brain cells, called brain organoids, serve as biological hardware. They describe their roadmap for realizing this vision in the journal Frontiers in Science.

“We call this new interdisciplinary field ‘organoid intelligence’ (OI),” said Prof Thomas Hartung of Johns Hopkins University. “A community of top scientists has gathered to develop this technology, which we believe will launch a new era of fast, powerful, and efficient biocomputing.”

What are brain organoids, and why would they make good computers?

Brain organoids are a type of lab-grown cell-culture. Even though brain organoids aren’t ‘mini brains’, they share key aspects of brain function and structure such as neurons and other brain cells that are essential for cognitive functions like learning and memory. Also, whereas most cell cultures are flat, organoids have a three-dimensional structure. This increases the culture's cell density 1,000-fold, meaning that neurons can form many more connections.

But even if brain organoids are a good imitation of brains, why would they make good computers? After all, aren't computers smarter and faster than brains?

"While silicon-based computers are certainly better with numbers, brains are better at learning,” Hartung explained. “For example, AlphaGo [the AI that beat the world’s number one Go player in 2017] was trained on data from 160,000 games. A person would have to play five hours a day for more than 175 years to experience these many games.” 

Brains are not only superior learners, they are also more energy efficient. For instance, the amount of energy spent training AlphaGo is more than is needed to sustain an active adult for a decade.

“Brains also have an amazing capacity to store information, estimated at 2,500TB,” Hartung added. “We’re reaching the physical limits of silicon computers because we cannot pack more transistors into a tiny chip. But the brain is wired completely differently. It has about 100bn neurons linked through over 1015 connection points. It’s an enormous power difference compared to our current technology.”

What would organoid intelligence bio computers look like?

According to Hartung, current brain organoids need to be scaled-up for OI. "They are too small, each containing about 50,000 cells. For OI, we would need to increase this number to 10 million,” he explained.

In parallel, the authors are also developing technologies to communicate with the organoids: in other words, to send them information and read out what they’re ‘thinking’. The authors plan to adapt tools from various scientific disciplines, such as bioengineering and machine learning, as well as engineer new stimulation and recording devices.

“We developed a brain-computer interface device that is a kind of an EEG cap for organoids, which we presented in an article published last August. It is a flexible shell that is densely covered with tiny electrodes that can both pick up signals from the organoid, and transmit signals to it,” said Hartung.

The authors envision that eventually OI would integrate a wide range of stimulation and recording tools. These will orchestrate interactions across networks of interconnected organoids that implement more complex computations.

Organoid intelligence could help prevent and treat neurological conditions

OI’s promise goes beyond computing and into medicine. Thanks to a groundbreaking technique developed by Noble Laureates John Gurdon and Shinya Yamanaka, brain organoids can be produced from adult tissues. This means that scientists can develop personalized brain organoids from skin samples of patients suffering from neural disorders, such as Alzheimer’s disease. They can then run multiple tests to investigate how genetic factors, medicines, and toxins influence these conditions.

“With OI, we could study the cognitive aspects of neurological conditions as well,” Hartung said. “For example, we could compare memory formation in organoids derived from healthy people and from Alzheimer’s patients, and try to repair relative deficits. We could also use OI to test whether certain substances, such as pesticides, cause memory or learning problems.”

Taking ethical considerations into account

Creating human brain organoids that can learn, remember, and interact with their environment raises complex ethical questions. For example, could they develop consciousness, even in a rudimentary form? Could they experience pain or suffering? And what rights would people have concerning brain organoids made from their cells?

The authors are acutely aware of these issues. “A key part of our vision is to develop OI in an ethical and socially responsible manner,” Hartung said. “For this reason, we have partnered with ethicists from the very beginning to establish an ‘embedded ethics’ approach. All ethical issues will be continuously assessed by teams made up of scientists, ethicists, and the public, as the research evolves.”

How far are we from the first organoid intelligence?

Even though OI is still in its infancy, a recently-published study by one of the article’s co-authors – Dr Brett Kagan of the Cortical Labs – provides proof of concept. His team showed that a normal, flat brain cell culture can learn to play the video game Pong.

“Their team is already testing this with brain organoids,” Hartung added. “And I would say that replicating this experiment with organoids already fulfills the basic definition of OI. From here on, it’s just a matter of building the community, the tools, and the technologies to realize OI’s full potential,” he concluded.

A magnified image of a lab-grown brain organoid with fluorescent labeling for different cell types. (Pink - neurons; red - oligodendrocytes; green - astrocytes; blue - all cell nuclei)