Identification of brain-like complex information architectures in embryonic tissue of <i>Xenopus laevis</i> organoids

Understanding how populations of cells collectively coordinate activity to produce the complex structures and behaviors that characterize multicellular organisms, and which coordinated activities, if any, survive processes that reshape cells and tissues into organoids, are fundamental issues in modern biology. Here, we show how techniques from complex systems and multivariate information theory provide a framework for inferring the structure of collective organization in non-neural tissue. Many of these techniques were developed in the context of theoretical neuroscience, where these statistics 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 embryonic <i>Xenopus laevis</i> tissue (known as "basal Xenobots"). These similarities suggest that such patterns of activity 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. Finally, these results provide unambiguous support for the hypothesis that, despite their apparent simplicity as collections of non-neural epithelial cells, Xenobots are in fact integrated, complex systems in their own right, with sophisticated internal information structures.

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Publication Details

Journal
Communicative & Integrative Biology
Published
2025-10-07
DOI
https://doi.org/10.1080/19420889.2025.2568307
Citations
2
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
2.86
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article

Identification of brain-like complex information architectures in embryonic tissue of Xenopus laevis organoids

Jeantine E. Lunshof, Caitlin Grasso, Thomas F. Varley, Josh Bongard et al.
2 citations
Communicative & Integrative Biology
Neural dynamics and brain function
2.86
article

Identification of brain-like complex information architectures in embryonic tissue of Xenopus laevis organoids

Jeantine E. Lunshof, Caitlin Grasso, Thomas F. Varley, Josh Bongard, Vaibhav P. Pai, Michael Levin
article en
2 citations

Abstract

Understanding how populations of cells collectively coordinate activity to produce the complex structures and behaviors that characterize multicellular organisms, and which coordinated activities, if any, survive processes that reshape cells and tissues into organoids, are fundamental issues in modern biology. Here, we show how techniques from complex systems and multivariate information theory provide a framework for inferring the structure of collective organization in non-neural tissue. Many of these techniques were developed in the context of theoretical neuroscience, where these statistics 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 embryonic <i>Xenopus laevis</i> tissue (known as "basal Xenobots"). These similarities suggest that such patterns of activity 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. Finally, these results provide unambiguous support for the hypothesis that, despite their apparent simplicity as collections of non-neural epithelial cells, Xenobots are in fact integrated, complex systems in their own right, with sophisticated internal information structures.

Communicative & Integrative BiologyVol. 18(1)
University of Vermont (US), Tufts University (US), Harvard University (US), Baim Institute for Clinical Research (US), Inspire Institute (US)
Openalex Percentile: Top 8%
Neural dynamics and brain function
2.86
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