We created an open-source model that simulates Caenorhabditis elegans in a closed-loop system, by integrating simulations of its brain, its physical body, and its environment. BAAIWorm replicated C. elegans locomotive behaviors, and synthetic perturbations of synaptic connections impacted neural control of movement and affected the embodied motor behavior.
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References
Lobato-Rios, V. et al. NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster. Nat. Methods 19, 620–627 (2022). This paper presents an integrative model linking biomechanics and neural control, advancing our understanding of embodied behavior in Drosophila.
Sarma, G. P. et al. OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans. Phil. Trans. R. Soc. B 373, 20170382 (2018). This paper introduces OpenWorm’s integrative approach to simulating C. elegans, setting a foundation for whole-organism modeling in computational biology.
Zhang, Y. et al. A GPU-based computational framework that bridges neuron simulation and artificial intelligence. Nat. Commun. 14, 5798 (2023). This study introduces a GPU-optimized framework that accelerates neuron simulations, making biophysically detailed models more feasible for AI applications.
Beniaguev, D. et al. Single cortical neurons as deep artificial neural networks. Neuron 109, 2727–2739 (2021). This study reveals that single cortical neurons can perform complex computations, influencing the development of brain-inspired AI models.
Zador, A. et al. Catalyzing next-generation artificial intelligence through NeuroAI. Nat. Commun. 14, 1597 (2023). A comprehensive review advocating for embedding neuroscience principles into AI development, fostering a more integrated approach to understanding intelligence.
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This is a summary of: Zhao, M. et al. An integrative data-driven model simulating C. elegans brain, body and environment interactions. Nat. Comput. Sci. https://doi.org/10.1038/s43588-024-00738-w (2024).
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A simulated C. elegans with biophysically detailed neurons and muscle dynamics. Nat Comput Sci 4, 888–889 (2024). https://doi.org/10.1038/s43588-024-00740-2
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DOI: https://doi.org/10.1038/s43588-024-00740-2
