Michael Levin

Publication Activity (10 Years)

Years Active: 1978-2024
Publications (10 Years): 64

Top Topics

Signaling Pathways

Cognitive Systems

Theoretic Analysis

Top Venues

Publications

Taining Zhang, Adam Goldstein, Michael Levin
Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence. CoRR (2024)
Michael Levin
Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Glue. Entropy 26 (6) (2024)
Hao Liu, Vikash V. Gayah, Michael Levin
A Max Pressure Algorithm for Traffic Signals Considering Pedestrian Queues. CoRR (2024)
Chris Fields, James F. Glazebrook, Michael Levin
Principled Limitations on Self-Representation for Generic Physical Systems. Entropy 26 (3) (2024)
Gabriella Seifert, Ava Sealander, Sarah Marzen, Michael Levin
From reinforcement learning to agency: Frameworks for understanding basal cognition. Biosyst. 235 (2024)
Juanita Mathews, Alan (Jaelyn) Chang, Liam Devlin, Michael Levin
Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine. Patterns 4 (5) (2023)
Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano
Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow. IEEE Trans. Mol. Biol. Multi Scale Commun. 9 (2) (2023)
Chris Fields, Michael Levin
Regulative development as a model for origin of life and artificial life studies. Biosyst. 229 (2023)
Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer
SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX. CoRR (2023)
Olaf Witkowski, Thomas Doctor, Elizaveta Solomonova, Bill Duane, Michael Levin
Toward an ethics of autopoietic technology: Stress, care, and intelligence. Biosyst. 231 (2023)
Lakshwin Shreesha, Michael Levin
Cellular Competency during Development Alters Evolutionary Dynamics in an Artificial Embryogeny Model. Entropy 25 (1) (2023)
Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano
Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference. IEEE Trans. Mol. Biol. Multi Scale Commun. 9 (2) (2023)
Peter Smiley, Michael Levin
Competition for finite resources as coordination mechanism for morphogenesis: An evolutionary algorithm study of digital embryogeny. Biosyst. 221 (2022)
Douglas Blackiston, Sam Kriegman, Josh C. Bongard, Michael Levin
Biological Robots: Perspectives on an Emerging Interdisciplinary Field. CoRR (2022)
Hananel Hazan, Simon Caby, Christopher Earl, Hava T. Siegelmann, Michael Levin
Memory via Temporal Delays in weightless Spiking Neural Network. CoRR (2022)
Chris Fields, Michael Levin
Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments. Entropy 24 (6) (2022)
Santosh Manicka, Michael Levin
Minimal Developmental Computation: A Causal Network Approach to Understand Morphogenetic Pattern Formation. Entropy 24 (1) (2022)
Damir Zhakparov, Kathleen Moriarty, Nonhlanhla Lunjani, Marco Schmid, Carol Hlela, Michael Levin, Avumile Mankahla, SOS-ALL Consortium, Cezmi Akdis, Liam O'Mahony, Katja Baerenfaller, Damian Roqueiro
Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance. PKDD/ECML Workshops (2) (2022)
Léo Pio-Lopez, Johanna Bischof, Jennifer V. LaPalme, Michael Levin
The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis. CoRR (2022)
Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, Michael Levin
Biology, Buddhism, and AI: Care as the Driver of Intelligence. Entropy 24 (5) (2022)
Chris Fields, Karl J. Friston, James F. Glazebrook, Michael Levin, Antonino Marciano
The Free Energy Principle drives neuromorphic development. CoRR (2022)
Chris Fields, James F. Glazebrook, Michael Levin
Neurons as hierarchies of quantum reference frames. Biosyst. 219 (2022)
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, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4 (3) (2022)
Joshua Clifford Bongard, Michael Levin
There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. CoRR (2022)
Brian Y. Chen, William Bone, Kim Lorenz, Michael Levin, Marylyn D. Ritchie, Benjamin F. Voight
ColocQuiaL: a QTL-GWAS colocalization pipeline. Bioinform. 38 (18) (2022)
Michael Levin
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds. CoRR (2022)
Léo Pio-Lopez, Franz Kuchling, Angela Tung, Giovanni Pezzulo, Michael Levin
Active inference, morphogenesis, and computational psychiatry. Frontiers Comput. Neurosci. 16 (2022)
Chris Fields, Karl J. Friston, James F. Glazebrook, Michael Levin, Antonino Marciano
The free energy principle induces neuromorphic development. Neuromorph. Comput. Eng. 2 (4) (2022)
Franz Kuchling, Chris Fields, Michael Levin
Metacognition as a Consequence of Competing Evolutionary Time Scales. Entropy 24 (5) (2022)
Javier Cervera, Michael Levin, Salvador Mafe
Morphology changes induced by intercellular gap junction blocking: A reaction-diffusion mechanism. Biosyst. 209 (2021)
Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston, Hannah Steele, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard
Scale invariant robot behavior with fractals. Robotics: Science and Systems (2021)
Chris Fields, Michael Levin
Metabolic limits on classical information processing by biological cells. Biosyst. 209 (2021)
Douglas Blackiston, Emma Lederer, Sam Kriegman, Simon Garnier, Joshua Clifford Bongard, Michael Levin
A cellular platform for the development of synthetic living machines. Sci. Robotics 6 (52) (2021)
Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston, Hannah Steele, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard
Scale invariant robot behavior with fractals. CoRR (2021)
Tran Nguyen Minh-Thai, Sandhya Samarasinghe, Michael Levin
A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems. Artif. Life 27 (2) (2021)
Sam Kriegman, Douglas Blackiston, Michael Levin, Josh C. Bongard
A scalable pipeline for designing reconfigurable organisms. Proc. Natl. Acad. Sci. USA 117 (4) (2020)
Michael Levin
Robot Cancer: what the bioelectrics of embryogenesis and regeneration can teach us about unconventional computing, cognition, and the software of life. ALIFE (2020)
Sam Kriegman, Amir Mohammadi Nasab, Dylan S. Shah, Hannah Steele, Gabrielle Branin, Michael Levin, Josh C. Bongard, Rebecca Kramer-Bottiglio
Scalable sim-to-real transfer of soft robot designs. RoboSoft (2020)
John Selberg, Mohammad Jafari, Juanita Mathews, Manping Jia, Pattawong Pansodtee, Harika Dechiraju, Chunxiao Wu, Sergio Cordero, Alexander Flora, Nebyu Yonas, Sophia Jannetty, Miranda Diberardinis, Mircea Teodorescu, Michael Levin, Marcella Gomez, Marco Rolandi
Machine Learning-Driven Bioelectronics for Closed-Loop Control of Cells. Adv. Intell. Syst. 2 (12) (2020)
John Selberg, Mohammad Jafari, Juanita Mathews, Manping Jia, Pattawong Pansodtee, Harika Dechiraju, Chunxiao Wu, Sergio Cordero, Alexander Flora, Nebyu Yonas, Sophia Jannetty, Miranda Diberardinis, Mircea Teodorescu, Michael Levin, Marcella Gomez, Marco Rolandi
Machine Learning-Driven Bioelectronics for Closed-Loop Control of Cells. Adv. Intell. Syst. 2 (12) (2020)
Santosh Manicka, Michael Levin
Modeling somatic computation with non-neural bioelectric networks. CoRR (2019)
Alexis Pietak, Johanna Bischof, Joshua LaPalme, Junji Morokuma, Michael Levin
Neural control of body-plan axis in regenerating planaria. PLoS Comput. Biol. 15 (4) (2019)
Sam Kriegman, Amir Mohammadi Nasab, Dylan S. Shah, Hannah Steele, Gabrielle Branin, Michael Levin, Josh C. Bongard, Rebecca Kramer-Bottiglio
Scalable sim-to-real transfer of soft robot designs. CoRR (2019)
Sam Kriegman, Stephanie Walker, Dylan S. Shah, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard
Automated shapeshifting for function recovery in damaged robots. CoRR (2019)
Tran Nguyen Minh-Thai, Jagannath Aryal, Sandhya Samarasinghe, Michael Levin
A Computational Framework for Autonomous Self-repair Systems. Australasian Conference on Artificial Intelligence (2018)
Micah Z. Brodsky, Michael Levin
From Physics to Pattern: Uncovering Pattern Formation in Tissue Electrophysiology. ALIFE (2018)
Giordano B. S. Ferreira, Matthias Scheutz, Michael Levin
Modeling Cell Migration in a Simulated Bioelectrical Signaling Network for Anatomical Regeneration. ALIFE (2018)
Douglas G. Moore, Gabriele Valentini, Sara Imari Walker, Michael Levin
Inform: Efficient Information-Theoretic Analysis of Collective Behaviors. Frontiers Robotics AI 5 (2018)
Michael Levin, Christopher J. Martyniuk
The bioelectric code: An ancient computational medium for dynamic control of growth and form. Biosyst. 164 (2018)
Jordi Vallverdú, Oscar Castro, Richard Mayne, Max Talanov, Michael Levin, Frantisek Baluska, Yukio-Pegio Gunji, Audrey Dussutour, Hector Zenil, Andrew Adamatzky
Slime mould: The fundamental mechanisms of biological cognition. Biosyst. 165 (2018)
Douglas G. Moore, Sara Imari Walker, Michael Levin
Pattern Regeneration in Coupled Networks. ALIFE (2018)
Giordano B. S. Ferreira, Matthias Scheutz, Michael Levin
Investigating the effects of noise on a cell-to-cell communication mechanism for structure regeneration. ECAL (2017)
Douglas G. Moore, Gabriele Valentini, Sara Imari Walker, Michael Levin
Inform: A toolkit for information-theoretic analysis of complex systems. SSCI (2017)
Joel Dungan, Juanita Mathews, Michael Levin, Valencia Koomson
Microfluidic platform to study intercellular connectivity through on-chip electrical impedance measurement. MWSCAS (2017)
Giordano B. S. Ferreira, Matthias Scheutz, Michael Levin
Introducing simulated stem cells into a bio-inspired cell-cell communication mechanism for structure regeneration. SSCI (2017)
Manuel García-Quismondo, Michael Levin, Daniel Lobo
Modeling regenerative processes with membrane computing. Inf. Sci. 381 (2017)
Jordi Vallverdú, Oscar Castro, Richard Mayne, Max Talanov, Michael Levin, Frantisek Baluska, Yukio-Pegio Gunji, Audrey Dussutour, Hector Zenil, Andrew Adamatzky
Slime mould: the fundamental mechanisms of cognition. CoRR (2017)
Abhishek De, V. Srinivasa Chakravarthy, Michael Levin
A computational model of planarian regeneration. Int. J. Parallel Emergent Distributed Syst. 32 (4) (2017)
Michael Levin, Jason H. Rife, Zachary Serlin
A Level Set Approach to Simulating Xenopus laevis Tail Regeneration. ALIFE (2016)
Daniel Lobo, Junji Morokuma, Michael Levin
as a regulatory gene in planarian regeneration. Bioinform. 32 (17) (2016)
Alice Dimonte, Andrew Adamatzky, Victor Erokhin, Michael Levin
On chirality of slime mould. Biosyst. 140 (2016)
Daniel Lobo, Jennifer Hammelman, Michael Levin
MoCha: Molecular Characterization of Unknown Pathways. J. Comput. Biol. 23 (4) (2016)
Michael Levin, Matthias Scheutz, Max Smiley, Giordano B. Ferreira
Dynamic Structure Discovery and Repair for 3D Cell Assemblages. ALIFE (2016)
Alice Dimonte, Andrew Adamatzky, Victor Erokhin, Michael Levin
Corrigendum to "On chirality of slime mould" [BioSystems 140 (2016) 23-27]. Biosyst. 144 (2016)
Daniel Lobo, Michael Levin
Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration. PLoS Comput. Biol. 11 (6) (2015)
Marianna Budnikova, Jeffrey W. Habig, Daniel Lobo, Nicolas Cornia, Michael Levin, Timothy L. Andersen
Design of a flexible component gathering algorithm for converting cell-based models to graph representations for use in evolutionary search. BMC Bioinform. 15 (2014)
Daniel Lobo, Erica B. Feldman, Michelle Shah, Taylor J. Malone, Michael Levin
Limbform: a functional ontology-based database of limb regeneration experiments. Bioinform. 30 (24) (2014)
Daniel Lobo, Taylor J. Malone, Michael Levin
Planform: an application and database of graph-encoded planarian regenerative experiments. Bioinform. 29 (8) (2013)
Daniel Lobo, Wendy S. Beane, Michael Levin
Modeling Planarian Regeneration: A Primer for Reverse-Engineering the Worm. PLoS Comput. Biol. 8 (4) (2012)
Michael Levin, Stefan Krawczyk, Steven Bethard, Dan Jurafsky
Citation-based bootstrapping for large-scale author disambiguation. J. Assoc. Inf. Sci. Technol. 63 (5) (2012)
Michael Levin
Morphogenetic fields in embryogenesis, regeneration, and cancer: Non-local control of complex patterning. Biosyst. 109 (3) (2012)
Richard Ehrenborg, Michael Levin, Margaret A. Readdy
A Probabilistic Approach to the Descent Statistic. J. Comb. Theory, Ser. A 98 (1) (2002)
Michael Levin
Discontinuous and alternate q-system fractals. Comput. Graph. 18 (6) (1994)
Michael Levin
A Julia set model of field-directed morphogenesis: developmental biology and artificial life. Comput. Appl. Biosci. 10 (2) (1994)
Michael Levin
An Introduction To DIAM Levels Of Abstraction In Accessing Information. ACM Annual Conference (1) (1978)