Morphogenetic fields in embryogenesis, regeneration, and cancer: Non-local control of complex patterning. - Michael Levin 001 (Biosyst., 2012)

Modeling Planarian Regeneration: A Primer for Reverse-Engineering the Worm. - Daniel Lobo; Wendy S. Beane; Michael Levin 001 (PLoS Comput. Biol., 2012)

Planform: an application and database of graph-encoded planarian regenerative experiments. - Daniel Lobo; Taylor J. Malone; Michael Levin 001 (Bioinform., 2013)

Limbform: a functional ontology-based database of limb regeneration experiments. - Daniel Lobo; Erica B. Feldman; Michelle Shah; Taylor J. Malone; Michael Levin 001 (Bioinform., 2014)

Design of a flexible component gathering algorithm for converting cell-based models to graph representations for use in evolutionary search. - Marianna Budnikova; Jeffrey W. Habig; Daniel Lobo; Nicolas Cornia; Michael Levin 001; Timothy L. Andersen (BMC Bioinform., 2014)

Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration. - Daniel Lobo; Michael Levin 001 (PLoS Comput. Biol., 2015)

A Level Set Approach to Simulating Xenopus laevis Tail Regeneration. - Michael Levin 001; Jason H. Rife; Zachary Serlin (ALIFE, 2016)

Dynamic Structure Discovery and Repair for 3D Cell Assemblages. - Michael Levin 001; Matthias Scheutz; Max Smiley; Giordano B. Ferreira (ALIFE, 2016)

Computational discovery and in vivo validation of hnf4 as a regulatory gene in planarian regeneration. - Daniel Lobo; Junji Morokuma; Michael Levin 001 (Bioinform., 2016)

On chirality of slime mould. - Alice Dimonte; Andrew Adamatzky; Victor Erokhin; Michael Levin 001 (Biosyst., 2016)

Corrigendum to "On chirality of slime mould" [BioSystems 140 (2016) 23-27]. - Alice Dimonte; Andrew Adamatzky; Victor Erokhin; Michael Levin 001 (Biosyst., 2016)

MoCha: Molecular Characterization of Unknown Pathways. - Daniel Lobo; Jennifer Hammelman; Michael Levin 001 (J. Comput. Biol., 2016)

Investigating the effects of noise on a cell-to-cell communication mechanism for structure regeneration. - Giordano B. S. Ferreira; Matthias Scheutz; Michael Levin 001 (ECAL, 2017)

Microfluidic platform to study intercellular connectivity through on-chip electrical impedance measurement. - Joel Dungan; Juanita Mathews; Michael Levin 001; Valencia Koomson (MWSCAS, 2017)

Introducing simulated stem cells into a bio-inspired cell-cell communication mechanism for structure regeneration. - Giordano B. S. Ferreira; Matthias Scheutz; Michael Levin 001 (SSCI, 2017)

Inform: A toolkit for information-theoretic analysis of complex systems. - Douglas G. Moore; Gabriele Valentini; Sara Imari Walker; Michael Levin 001 (SSCI, 2017)

Slime mould: the fundamental mechanisms of cognition. - Jordi Vallverdú; Òscar Castro Garcia; Richard Mayne; Max Talanov; Michael Levin 001; Frantisek Baluska; Yukio-Pegio Gunji; Audrey Dussutour; Hector Zenil; Andrew Adamatzky (CoRR, 2017)

Modeling regenerative processes with membrane computing. - Manuel García-Quismondo; Michael Levin 001; Daniel Lobo (Inf. Sci., 2017)

A computational model of planarian regeneration. - Abhishek De 002; V. Srinivasa Chakravarthy; Michael Levin 001 (Int. J. Parallel Emergent Distributed Syst., 2017)

A Computational Framework for Autonomous Self-repair Systems. - Tran Nguyen Minh-Thai; Jagannath Aryal; Sandhya Samarasinghe; Michael Levin 001 (Australasian Conference on Artificial Intelligence, 2018)

From Physics to Pattern: Uncovering Pattern Formation in Tissue Electrophysiology. - Micah Z. Brodsky; Michael Levin 001 (ALIFE, 2018)

Modeling Cell Migration in a Simulated Bioelectrical Signaling Network for Anatomical Regeneration. - Giordano B. S. Ferreira; Matthias Scheutz; Michael Levin 001 (ALIFE, 2018)

Pattern Regeneration in Coupled Networks. - Douglas G. Moore; Sara Imari Walker; Michael Levin 001 (ALIFE, 2018)

The bioelectric code: An ancient computational medium for dynamic control of growth and form. - Michael Levin 001; Christopher J. Martyniuk (Biosyst., 2018)

Slime mould: The fundamental mechanisms of biological cognition. - Jordi Vallverdú; Òscar Castro Garcia; Richard Mayne; Max Talanov; Michael Levin 001; Frantisek Baluska; Yukio-Pegio Gunji; Audrey Dussutour; Hector Zenil; Andrew Adamatzky (Biosyst., 2018)

Inform: Efficient Information-Theoretic Analysis of Collective Behaviors. - Douglas G. Moore; Gabriele Valentini; Sara Imari Walker; Michael Levin 001 (Frontiers Robotics AI, 2018)

Toward Modeling Regeneration via Adaptable Echo State Networks. - Jennifer Hammelman; Hava T. Siegelmann; Santosh Manicka; Michael Levin 001 (From Parallel to Emergent Computing, 2019)

Automated shapeshifting for function recovery in damaged robots. - Sam Kriegman; Stephanie Walker; Dylan S. Shah; Michael Levin 001; Rebecca Kramer-Bottiglio; Josh C. Bongard (CoRR, 2019)

Modeling somatic computation with non-neural bioelectric networks. - Santosh Manicka; Michael Levin 001 (CoRR, 2019)

Neural control of body-plan axis in regenerating planaria. - Alexis Mari Pietak; Johanna Bischof; Joshua LaPalme; Junji Morokuma; Michael Levin 001 (PLoS Comput. Biol., 2019)

Robot Cancer: what the bioelectrics of embryogenesis and regeneration can teach us about unconventional computing, cognition, and the software of life. - Michael Levin 001 (ALIFE, 2020)

Scalable sim-to-real transfer of soft robot designs. - Sam Kriegman; Amir Mohammadi Nasab; Dylan S. Shah; Hannah Steele; Gabrielle Branin; Michael Levin 001; Josh C. Bongard; Rebecca Kramer-Bottiglio (RoboSoft, 2020)

Machine Learning-Driven Bioelectronics for Closed-Loop Control of Cells. - John Selberg; Mohammad Jafari 001; Juanita Mathews; Manping Jia; Pattawong Pansodtee; Harika Dechiraju; Chunxiao Wu; Sergio Cordero; Alexander Flora; Nebyu Yonas; Sophia Jannetty; Miranda Diberardinis; et al. (Adv. Intell. Syst., 2020)

A scalable pipeline for designing reconfigurable organisms. - Sam Kriegman; Douglas Blackiston; Michael Levin 001; Josh C. Bongard (Proc. Natl. Acad. Sci. USA, 2020)

Scale invariant robot behavior with fractals. - Sam Kriegman; Amir Mohammadi Nasab; Douglas Blackiston; Hannah Steele; Michael Levin 001; Rebecca Kramer-Bottiglio; Josh C. Bongard (Robotics: Science and Systems, 2021)

A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems. - Tran Nguyen Minh-Thai; Sandhya Samarasinghe; Michael Levin 001 (Artif. Life, 2021)

Morphology changes induced by intercellular gap junction blocking: A reaction-diffusion mechanism. - Javier Cervera; Michael Levin 001; Salvador Mafe (Biosyst., 2021)

Metabolic limits on classical information processing by biological cells. - Chris Fields 001; Michael Levin 001 (Biosyst., 2021)

A cellular platform for the development of synthetic living machines. - Douglas Blackiston; Emma Lederer; Sam Kriegman; Simon Garnier; Joshua Clifford Bongard; Michael Levin 001 (Sci. Robotics, 2021)

Neurons as hierarchies of quantum reference frames. - Chris Fields 001; James F. Glazebrook; Michael Levin 001 (Biosyst., 2022)

Competition for finite resources as coordination mechanism for morphogenesis: An evolutionary algorithm study of digital embryogeny. - Peter Smiley; Michael Levin 001 (Biosyst., 2022)

Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds. - Michael Levin 001 (CoRR, 2022)

Memory via Temporal Delays in weightless Spiking Neural Network. - Hananel Hazan; Simon Caby; Christopher Earl; Hava T. Siegelmann; Michael Levin 001 (CoRR, 2022)

Biological Robots: Perspectives on an Emerging Interdisciplinary Field. - Douglas Blackiston; Sam Kriegman; Josh C. Bongard; Michael Levin 001 (CoRR, 2022)

The Free Energy Principle drives neuromorphic development. - Chris Fields 001; Karl J. Friston; James F. Glazebrook; Michael Levin 001; Antonino Marciano (CoRR, 2022)

The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis. - Léo Pio-Lopez; Johanna Bischof; Jennifer V. LaPalme; Michael Levin 001 (CoRR, 2022)

There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. - Joshua Clifford Bongard; Michael Levin 001 (CoRR, 2022)

Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments. - Chris Fields 001; Michael Levin 001 (Entropy, 2022)

Biology, Buddhism, and AI: Care as the Driver of Intelligence. - Thomas Doctor; Olaf Witkowski; Elizaveta Solomonova; Bill Duane; Michael Levin 001 (Entropy, 2022)

Metacognition as a Consequence of Competing Evolutionary Time Scales. - Franz Kuchling; Chris Fields 001; Michael Levin 001 (Entropy, 2022)

Minimal Developmental Computation: A Causal Network Approach to Understand Morphogenetic Pattern Formation. - Santosh Manicka; Michael Levin 001 (Entropy, 2022)

Active inference, morphogenesis, and computational psychiatry. - Léo Pio-Lopez; Franz Kuchling; Angela Tung; Giovanni Pezzulo; Michael Levin 001 (Frontiers Comput. Neurosci., 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

The free energy principle induces neuromorphic development. - Chris Fields 001; Karl J. Friston; James F. Glazebrook; Michael Levin 001; Antonino Marciano (Neuromorph. Comput. Eng., 2022)

SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX. - Mayalen Etcheverry; Michael Levin 001; Clément Moulin-Frier; Pierre-Yves Oudeyer (CoRR, 2023)

Cellular Competency during Development Alters Evolutionary Dynamics in an Artificial Embryogeny Model. - Lakshwin Shreesha; Michael Levin 001 (Entropy, 2023)

Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine. - Juanita Mathews; Alan (Jaelyn) Chang; Liam Devlin; Michael Levin 001 (Patterns, 2023)

Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference. - Chris Fields 001; Filippo Fabrocini; Karl J. Friston; James F. Glazebrook; Hananel Hazan; Michael Levin 001; Antonino Marciano (IEEE Trans. Mol. Biol. Multi Scale Commun., 2023)

Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow. - Chris Fields 001; Filippo Fabrocini; Karl J. Friston; James F. Glazebrook; Hananel Hazan; Michael Levin 001; Antonino Marciano (IEEE Trans. Mol. Biol. Multi Scale Commun., 2023)

Regulative development as a model for origin of life and artificial life studies. - Chris Fields 001; Michael Levin 001 (Biosyst., 2023)

Toward an ethics of autopoietic technology: Stress, care, and intelligence. - Olaf Witkowski; Thomas Doctor; Elizaveta Solomonova; Bill Duane; Michael Levin 001 (Biosyst., 2023)

Oscillatory phenomena in electrophysiological networks: The coupling between cell bioelectricity and transcription. - Javier Cervera; J. A. Manzanares; Michael Levin 001; Salvador Mafe (Comput. Biol. Medicine, 2024)

Heuristically Adaptive Diffusion-Model Evolutionary Strategy. - Benedikt Hartl; Yanbo Zhang; Hananel Hazan; Michael Levin 001 (CoRR, 2024)

Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence. - Nima Dehghani; Michael Levin 001 (CoRR, 2024)

Discussions of machine versus living intelligence need more clarity. - Nicolas Rouleau; Michael Levin 001 (Nat. Mac. Intell., 2024)

From reinforcement learning to agency: Frameworks for understanding basal cognition. - Gabriella Seifert; Ava Sealander; Sarah Marzen; Michael Levin 001 (Biosyst., 2024)

Principled Limitations on Self-Representation for Generic Physical Systems. - Chris Fields 001; James F. Glazebrook; Michael Levin 001 (Entropy, 2024)

Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Glue. - Michael Levin 001 (Entropy, 2024)

Evolutionary Implications of Self-Assembling Cybernetic Materials with Collective Problem-Solving Intelligence at Multiple Scales. - Benedikt Hartl; Sebastian Risi; Michael Levin 001 (Entropy, 2024)

Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. - Christopher L. Buckley; Tim Lewens; Michael Levin 001; Beren Millidge; Alexander Tschantz; Richard A. Watson (Entropy, 2024)

Diffusion Models are Evolutionary Algorithms. - Yanbo Zhang; Benedikt Hartl; Hananel Hazan; Michael Levin 001 (ICLR, 2025)

Classical sorting algorithms as a model of morphogenesis: Self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence. - Taining Zhang; Adam Goldstein; Michael Levin 001 (Adapt. Behav., 2025)

Revealing non-trivial information structures in aneural biological tissues via functional connectivity. - Douglas Blackiston; Hannah Dromiack; Caitlin Grasso; Thomas F. Varley; Douglas G. Moore; Krishna Kannan Srinivasan; Olaf Sporns; Josh C. Bongard; Michael Levin 001; Sara Imari Walker (PLoS Comput. Biol., 2025)

Topological constraints on self-organisation in locally interacting systems. - Francesco Sacco; Dalton A. R. Sakthivadivel; Michael Levin 001 (CoRR, 2025)

Cancermorphic Computing Toward Multilevel Machine Intelligence. - Rosalia Moreddu; Michael Levin 001 (CoRR, 2025)

Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control. - Nam H. Le; Patrick Erikson; Yanbo Zhang; Michael Levin 001; Josh C. Bongard (CoRR, 2025)

What Lives? A meta-analysis of diverse opinions on the definition of life. - Reed Bender; Karina Kofman; Blaise Agüera y Arcas; Michael Levin 001 (CoRR, 2025)

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery. - Yanbo Zhang; Sumeer Ahmad Khan; Adnan Mahmud; Huck Yang; Alexander Lavin; Michael Levin 001; Jeremy G. Frey; Jared Dunnmon; James A. Evans; Alan R. Bundy; Saso Dzeroski; Jesper Tegnér; et al. (CoRR, 2025)

Universal multilayer network embedding reveals a causal link between GABA neurotransmitter and cancer. - Léo Pio-Lopez; Michael Levin 001 (BMC Bioinform., 2025)