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Brains and Xenobots: The Dance of Life

Exploring the connections between human brains and artificial living systems.

Thomas F. Varley, Vaibhav P. Pai, Caitlin Grasso, Jeantine Lunshof, Michael Levin, Josh Bongard

― 8 min read


Xenobots and Human Brains Xenobots and Human Brains Unite systems and intelligence. Revealing insights on biological
Table of Contents

Biological systems are fascinating creations of nature, marked by what some call "organized complexity." This means that unlike simple machines or structures, such as a toaster or a simple bridge, living systems have intricate designs with many interacting parts. Imagine a bustling city where everyone is doing their own thing, yet somehow everything works together smoothly. That’s what makes studying these systems both exciting and challenging.

Scientists are keen to understand how these systems operate, especially when it comes to interactions between different biological elements like molecules, cells, and organs. Not only do these systems showcase complex designs, but they also possess the ability to organize themselves and even repair themselves when damaged. Think of it like a superhero with the power to heal from wounds; biology has its own version of this magic!

One major theme in this scientific exploration is how biological systems can collectively maintain balance and function correctly, even when faced with unexpected challenges. This becomes particularly important during processes like growth, healing, and even the prevention of diseases like cancer. However, the task of piecing together the puzzle of biological complexity can be quite tricky, especially when dealing with data that can often be confusing or misleading.

The Challenge of Understanding Complexity

One big question scientists face is how to figure out the structure and behavior of these Complex Systems when they often only have limited and messy data to work with. Although they have developed various methods to study how information flows through the components of these biological systems, there’s still a lot of work to be done.

For example, researchers have made significant strides in understanding how networks of cells communicate with each other in the brain. With the help of advanced techniques like fMRI, EEG, and MEG, they collect vast amounts of data to analyze. However, much of what they’ve learned has mostly stayed within the realm of neuroscience, raising questions about whether the patterns they see in brain activity are unique to brains or if they could be found in other biological systems as well.

Looking Beyond the Brain

To explore these questions, researchers have compared two very different systems: human brains and a special kind of artificial creature made from frog cells, often referred to as "Xenobots." These little beings are formed from cells of the frog Xenopus laevis, and they have the unique ability to move and self-assemble. Picture tiny, living robots that can swim around in a petri dish!

The researchers hypothesize that despite the differences in these two systems, there may be common features in how they process information. In other words, the brains of humans and these frog-based entities might be more similar than we think—but without the whole "thinking" part that we associate with brains.

What Are Xenobots?

Xenobots are not your average lab subjects. They are made from skin cells of frog embryos, and these cells together can create movements and actions quite independently. Anyone watching these little guys swim could certainly be charmed! They are considered a model for studying how living systems can coordinate their activities even without a traditional nervous system.

By studying how Xenobots make decisions and move around, scientists hope to gain insights into the broader principles of life itself. Are these Xenobots just biological toys, or do they hold secrets about how complex systems work?

A Fascinating Comparison

What happens when researchers take the time to analyze the functioning of both these biological entities? They find that both human brains and Xenobots show interesting patterns of organization and interaction. Using sophisticated statistical tools, they measure how information flows through each system and compare their results.

This investigation is like being a detective, examining clues to solve the mystery of how both systems operate. Do they share similar ways of processing information? Do they show signs of complex organization that help them achieve their goals? Spoiler alert: the answer is yes!

The Importance of Functional Connectivity

One of the key concepts in understanding both brains and Xenobots is "functional connectivity." This term refers to how different parts of a system connect and communicate with each other. In a human brain, regions talk to one another, sharing information and working together to help us think, feel, and react to the world. Similarly, in Xenobots, individual cells communicate and coordinate their movements.

Researchers use special techniques to construct networks that represent these connections. In both cases, the functional connectivity reveals fascinating insights into how effectively the systems work together. When the data is analyzed, it becomes clear that both systems exhibit organized patterns that hint at a deeper level of complexity.

Diving into Information Dynamics

As the scientists dug deeper, they examined how information is shared among multiple elements in both systems. This analysis goes beyond looking at simple pairwise interactions, as it considers how groups of cells or brain regions coordinate their activities. Imagine a well-rehearsed dance routine—everyone plays their part, and together they create a beautiful performance.

This exploration of information dynamics indicates that both human brains and Xenobots have higher-order interactions beyond simple pairwise relationships. This means that groups of cells in both systems can collaborate and share information in ways that support their overall functioning.

Variability and Patterns

But wait, there’s more! The researchers also explored how these patterns change over time. They found that both systems show periods of collective synchronization and moments where individual parts act independently. Think of it as a team huddle—a moment where everyone comes together to strategize, followed by periods of action where each member performs their own roles.

This dynamic interplay between synchronization and independence is a hallmark of complex systems, and it speaks to the adaptability of both the brain and the Xenobots. Just like a well-coordinated sports team, both systems know when to work closely together and when to give each other space.

Higher-Order Information: A Closer Look

Delving into higher-order information reveals unique features in both systems. The researchers examined how groups of elements, rather than just pairs, share information. This analysis includes concepts like total correlation, which looks at how much information is shared among multiple regions or cells, and dual total correlation, focusing on redundancy in shared information.

Interestingly, both the brains and the Xenobots exhibited signs of this higher-order information. They displayed patterns indicating coordinated actions, suggesting that they are not just collections of independent parts, but rather cohesive units working in harmony.

Is It “Brain-Like”?

This raises an intriguing question: Are Xenobots “brain-like”? While they lack the sophisticated structure of a nervous system, they exhibit certain organizational features found in brains. This sparks debate about what it means to process information and whether that capacity is limited to neural systems. Can we consider certain non-neural systems as "intelligent"?

In the end, the findings of this research challenge conventional ideas about intelligence and information processing in biology. It makes us wonder whether intelligence can be found beyond the traditional contexts we’re used to, or if it's more about how systems are organized and how they interact.

Implications for Future Research

The discoveries made with Xenobots and human brains can have important implications for scientific research. By uncovering the principles of coordination and information sharing in these two systems, scientists can ultimately inspire new approaches to studying living systems in general.

Moreover, understanding how biological systems adapt and respond to changes can offer valuable insights in fields ranging from medicine to artificial intelligence. After all, if we can learn how living systems thrive and survive, we can use that knowledge to make advancements in technology and healthcare.

Preparing for the Next Steps

Moving forward, researchers are eager to expand their investigations on how different factors influence coordination and communication in both Xenobots and human brains. This includes exploring how elements such as toxins, temperature changes, or even mechanical perturbations affect these systems. Just like how a sudden noise might interrupt a concert, external influences can drastically change the dynamics of these biological networks.

Tracking these changes can help us better understand the resilience and adaptability of both systems. Should we find that Xenobots react similarly to human brains, it would strengthen the notion that diverse systems process information in shared ways, shedding light on the broader patterns of life.

Conclusion

In summary, the study of biological systems like human brains and Xenobots opens up exciting possibilities. These two distinct entities, one familiar and one novel, provide unique opportunities to explore the nature of complexity and information processing. By examining their similarities and differences, researchers are challenging the idea that intelligence and coordination are exclusive to neural networks.

Perhaps one day, we will look at living systems—whether they be brains, Xenobots, or even slime molds—with a renewed appreciation for the patterns of information they embody. After all, whether they are swimming through a petri dish or navigating everyday life, the complexities of living systems are a testament to the wonders of nature. And who knows? Maybe one day we will have a Xenobot that can give us a run for our money in terms of problem-solving abilities!

Original Source

Title: Identification of brain-like functional information architectures in embryonic tissue of Xenopus laevis.

Abstract: Understanding how populations of cells collectively coordinate activity to produce the complex structures and behaviors that characterize multicellular organisms is a fundamental issue in modern biology. Here we show how mathematical techniques from complex systems science and multivariate information theory can provide a rigorous framework for inferring the structure of collective organization in non-neural tissue. Many of these techniques were developed and refined in the context of theoretical neuroscience, a field well-used to the problem of inferring coordinated activity in high-dimensional data. In neuroscience, these statistics (functional connectivity network structure, modularity, higher-order information, etc) have been found to be altered during different cognitive, clinical, or behavioral states and are generally thought to be informative about the underlying dynamics linking biology to cognition. Here we show that these same patterns of coordinated activity are also present in the aneural tissues of evolutionarily distant biological systems: preparations of self-motile embryonic Xenopus tissue (colloquially known as "basal Xenobots"). When analyzing calcium recordings from basal Xenobots and comparing them to fMRI recordings from a sample of adult human brains, we find that the bots have a "brain-like" functional information architecture, complete with positive and negative functional connections, meso-scale communities, higher-order redundant and synergistic interactions, and integrated information that is "greater than the sum of its parts". By comparing each recording (brain and bot) to a personalized null model that preserves all first-order statistical structures (autocorrelation, frequency spectrum, etc.) while disrupting all higher-order interactions, we show that these are genuine higher order interactions and not trivially reducible to lower-order features of the data. These similarities suggest that such patterns of activity and information structures either: arose independently in these two systems epithelial constructs and brains, are epiphenomenological byproducts of other dynamics conserved across vastly different configurations of life; or somehow directly support adaptive behavior across diverse living systems.

Authors: Thomas F. Varley, Vaibhav P. Pai, Caitlin Grasso, Jeantine Lunshof, Michael Levin, Josh Bongard

Last Update: 2024-12-09 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.05.627037

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.05.627037.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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