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ORCIDMichael Levin 0001
Person information
- affiliation: Tufts University, Medford, MA, USA
Other persons with the same name
- Michael Levin 0002 — Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Michael Levin 0003
![[0000-0003-2439-7981]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2439-7981")
— University of Cape Town, Cape Town, South Africa - Michael Levin 0004 — Stanford University, Stanford, CA, USA
- Michael Levin 0005 — Harvard University, Cambridge, MA, USA
- Michael Levin 0006 — Martin Marietta Aerospace, Denver, CA, USA
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2020 – today
- 2024
[j44]Gabriella Seifert, Ava Sealander, Sarah Marzen, Michael Levin:
From reinforcement learning to agency: Frameworks for understanding basal cognition. Biosyst. 235: 105107 (2024)- [j43]Javier Cervera, J. A. Manzanares, Michael Levin, Salvador Mafe:
Oscillatory phenomena in electrophysiological networks: The coupling between cell bioelectricity and transcription. Comput. Biol. Medicine 180: 108964 (2024) - [j42]Chris Fields, James F. Glazebrook, Michael Levin:
Principled Limitations on Self-Representation for Generic Physical Systems. Entropy 26(3): 194 (2024) - [j41]Michael Levin:
Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Glue. Entropy 26(6): 481 (2024) - [j40]Benedikt Hartl, Sebastian Risi, Michael Levin:
Evolutionary Implications of Self-Assembling Cybernetic Materials with Collective Problem-Solving Intelligence at Multiple Scales. Entropy 26(7): 532 (2024) - [j39]Christopher L. Buckley, Tim Lewens, Michael Levin, Beren Millidge, Alexander Tschantz, Richard A. Watson:
Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. Entropy 26(9): 765 (2024) - [i14]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 abs/2401.05375 (2024) - [i13]Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin:
Diffusion Models are Evolutionary Algorithms. CoRR abs/2410.02543 (2024) - 2023
- [j38]Chris Fields, Michael Levin:
Regulative development as a model for origin of life and artificial life studies. Biosyst. 229: 104927 (2023) - [j37]Olaf Witkowski, Thomas Doctor, Elizaveta Solomonova, Bill Duane, Michael Levin:
Toward an ethics of autopoietic technology: Stress, care, and intelligence. Biosyst. 231: 104964 (2023) - [j36]Lakshwin Shreesha, Michael Levin:
Cellular Competency during Development Alters Evolutionary Dynamics in an Artificial Embryogeny Model. Entropy 25(1): 131 (2023) - [j35]Juanita Mathews, Alan (Jaelyn) Chang, Liam Devlin, Michael Levin:
Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine. Patterns 4(5): 100737 (2023) - [j34]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): 235-245 (2023) - [j33]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): 246-256 (2023) - [i12]Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer:
SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX. CoRR abs/2307.08452 (2023) - 2022
- [j32]Chris Fields, James F. Glazebrook, Michael Levin:
Neurons as hierarchies of quantum reference frames. Biosyst. 219: 104714 (2022) - [j31]Peter Smiley, Michael Levin:
Competition for finite resources as coordination mechanism for morphogenesis: An evolutionary algorithm study of digital embryogeny. Biosyst. 221: 104762 (2022) - [j30]Santosh Manicka, Michael Levin:
Minimal Developmental Computation: A Causal Network Approach to Understand Morphogenetic Pattern Formation. Entropy 24(1): 107 (2022) - [j29]Franz Kuchling, Chris Fields, Michael Levin:
Metacognition as a Consequence of Competing Evolutionary Time Scales. Entropy 24(5): 601 (2022) - [j28]Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, Michael Levin:
Biology, Buddhism, and AI: Care as the Driver of Intelligence. Entropy 24(5): 710 (2022) - [j27]Chris Fields, Michael Levin:
Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments. Entropy 24(6): 819 (2022) - [j26]Léo Pio-Lopez, Franz Kuchling, Angela Tung, Giovanni Pezzulo, Michael Levin:
Active inference, morphogenesis, and computational psychiatry. Frontiers Comput. Neurosci. 16 (2022) - [j25]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): 196-210 (2022) - [j24]Chris Fields, Karl J. Friston, James F. Glazebrook, Michael Levin, Antonino Marciano:
The free energy principle induces neuromorphic development. Neuromorph. Comput. Eng. 2(4): 42002 (2022) - [i11]Michael Levin:
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds. CoRR abs/2201.10346 (2022) - [i10]Hananel Hazan, Simon Caby, Christopher Earl, Hava T. Siegelmann, Michael Levin:
Memory via Temporal Delays in weightless Spiking Neural Network. CoRR abs/2202.07132 (2022) - [i9]Douglas Blackiston, Sam Kriegman, Josh C. Bongard, Michael Levin:
Biological Robots: Perspectives on an Emerging Interdisciplinary Field. CoRR abs/2207.00880 (2022) - [i8]Chris Fields, Karl J. Friston, James F. Glazebrook, Michael Levin, Antonino Marciano:
The Free Energy Principle drives neuromorphic development. CoRR abs/2207.09734 (2022) - [i7]Léo Pio-Lopez, Johanna Bischof, Jennifer V. LaPalme, Michael Levin:
The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis. CoRR abs/2211.08522 (2022) - [i6]Joshua Clifford Bongard, Michael Levin:
There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. CoRR abs/2212.10675 (2022) - 2021
- [j23]Tran Nguyen Minh-Thai, Sandhya Samarasinghe, Michael Levin:
A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems. Artif. Life 27(2): 80-104 (2021) - [j22]Javier Cervera, Michael Levin, Salvador Mafe:
Morphology changes induced by intercellular gap junction blocking: A reaction-diffusion mechanism. Biosyst. 209: 104511 (2021) - [j21]Chris Fields, Michael Levin:
Metabolic limits on classical information processing by biological cells. Biosyst. 209: 104513 (2021) - [j20]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): 1571 (2021) - [c13]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 - [i5]Sam Kriegman, Amir Mohammadi Nasab, Douglas Blackiston, Hannah Steele, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Scale invariant robot behavior with fractals. CoRR abs/2103.04876 (2021) - 2020
- [j19]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): 2000140 (2020) - [j18]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): 2070122 (2020) - [j17]Sam Kriegman, Douglas Blackiston, Michael Levin, Josh C. Bongard:
A scalable pipeline for designing reconfigurable organisms. Proc. Natl. Acad. Sci. USA 117(4): 1853-1859 (2020) - [c12]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: 5 - [c11]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: 359-366
2010 – 2019
- 2019
- [j16]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) - [p1]Jennifer Hammelman, Hava T. Siegelmann, Santosh Manicka, Michael Levin:
Toward Modeling Regeneration via Adaptable Echo State Networks. From Parallel to Emergent Computing 2019: 117-134 - [i4]Sam Kriegman, Stephanie Walker, Dylan S. Shah, Michael Levin, Rebecca Kramer-Bottiglio, Josh C. Bongard:
Automated shapeshifting for function recovery in damaged robots. CoRR abs/1905.09264 (2019) - [i3]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 abs/1911.10290 (2019) - [i2]Santosh Manicka, Michael Levin:
Modeling somatic computation with non-neural bioelectric networks. CoRR abs/1912.04246 (2019) - 2018
- [j15]Michael Levin, Christopher J. Martyniuk:
The bioelectric code: An ancient computational medium for dynamic control of growth and form. Biosyst. 164: 76-93 (2018) - [j14]Jordi Vallverdú, Òscar Castro Garcia, 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: 57-70 (2018) - [j13]Douglas G. Moore, Gabriele Valentini, Sara Imari Walker, Michael Levin:
Inform: Efficient Information-Theoretic Analysis of Collective Behaviors. Frontiers Robotics AI 5: 60 (2018) - [c10]Tran Nguyen Minh-Thai, Jagannath Aryal, Sandhya Samarasinghe, Michael Levin:
A Computational Framework for Autonomous Self-repair Systems. Australasian Conference on Artificial Intelligence 2018: 153-159 - [c9]Giordano B. S. Ferreira, Matthias Scheutz, Michael Levin:
Modeling Cell Migration in a Simulated Bioelectrical Signaling Network for Anatomical Regeneration. ALIFE 2018: 194-201 - [c8]Douglas G. Moore, Sara Imari Walker, Michael Levin:
Pattern Regeneration in Coupled Networks. ALIFE 2018: 204-205 - [c7]Micah Z. Brodsky, Michael Levin:
From Physics to Pattern: Uncovering Pattern Formation in Tissue Electrophysiology. ALIFE 2018: 351-358 - 2017
- [j12]Manuel García-Quismondo, Michael Levin, Daniel Lobo:
Modeling regenerative processes with membrane computing. Inf. Sci. 381: 229-249 (2017) - [j11]Abhishek De, V. Srinivasa Chakravarthy, Michael Levin:
A computational model of planarian regeneration. Int. J. Parallel Emergent Distributed Syst. 32(4): 331-347 (2017) - [c6]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: 170-177 - [c5]Joel Dungan, Juanita Mathews, Michael Levin, Valencia Koomson:
Microfluidic platform to study intercellular connectivity through on-chip electrical impedance measurement. MWSCAS 2017: 56-59 - [c4]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: 1-8 - [c3]Douglas G. Moore, Gabriele Valentini, Sara Imari Walker, Michael Levin:
Inform: A toolkit for information-theoretic analysis of complex systems. SSCI 2017: 1-8 - [i1]Jordi Vallverdú, Òscar Castro Garcia, 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 abs/1712.00414 (2017) - 2016
- [j10]Daniel Lobo, Junji Morokuma, Michael Levin:
Computational discovery and in vivo validation of hnf4 as a regulatory gene in planarian regeneration. Bioinform. 32(17): 2681-2685 (2016) - [j9]Alice Dimonte, Andrew Adamatzky, Victor Erokhin, Michael Levin:
On chirality of slime mould. Biosyst. 140: 23-27 (2016) - [j8]Alice Dimonte, Andrew Adamatzky, Victor Erokhin, Michael Levin:
Corrigendum to "On chirality of slime mould" [BioSystems 140 (2016) 23-27]. Biosyst. 144: 78 (2016) - [j7]Daniel Lobo, Jennifer Hammelman, Michael Levin:
MoCha: Molecular Characterization of Unknown Pathways. J. Comput. Biol. 23(4): 291-297 (2016) - [c2]Michael Levin, Matthias Scheutz, Max Smiley, Giordano B. Ferreira:
Dynamic Structure Discovery and Repair for 3D Cell Assemblages. ALIFE 2016: 352-359 - [c1]Michael Levin, Jason H. Rife, Zachary Serlin:
A Level Set Approach to Simulating Xenopus laevis Tail Regeneration. ALIFE 2016: 528-535 - 2015
- [j6]Daniel Lobo, Michael Levin:
Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration. PLoS Comput. Biol. 11(6) (2015) - 2014
- [j5]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): 3598-3600 (2014) - [j4]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: 178 (2014) - 2013
- [j3]Daniel Lobo, Taylor J. Malone, Michael Levin:
Planform: an application and database of graph-encoded planarian regenerative experiments. Bioinform. 29(8): 1098-1100 (2013) - 2012
- [j2]Michael Levin:
Morphogenetic fields in embryogenesis, regeneration, and cancer: Non-local control of complex patterning. Biosyst. 109(3): 243-261 (2012) - [j1]Daniel Lobo, Wendy S. Beane, Michael Levin:
Modeling Planarian Regeneration: A Primer for Reverse-Engineering the Worm. PLoS Comput. Biol. 8(4) (2012)
Coauthor Index
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