Cited by 195Embodied and Extended CognitionPhilosophy and Theoretical SciencePhilosophy and History of Science

Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds

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Levin, Michael·2022·Frontiers in Systems Neuroscience

Abstract

Synthetic biology and bioengineering provide the opportunity to create novel embodied cognitive systems (otherwise known as minds) in a very wide variety of chimeric architectures combining evolved and designed material and software. These advances are disrupting familiar concepts in the philosophy of mind, and require new ways of thinking about and comparing truly diverse intelligences, whose composition and origin are not like any of the available natural model species. In this Perspective, I introduce TAME—Technological Approach to Mind Everywhere—a framework for understanding and manipulating cognition in unconventional substrates. TAME formalizes a non-binary (continuous), empirically-based approach to strongly embodied agency. TAME provides a natural way to think about animal sentience as an instance of collective intelligence of cell groups, arising from dynamics that manifest in similar ways in numerous other substrates. When applied to regenerating/developmental systems, TAME suggests a perspective on morphogenesis as an example of basal cognition. The deep symmetry between problem-solving in anatomical, physiological, transcriptional, and 3D (traditional behavioral) spaces drives specific hypotheses by which cognitive capacities can increase during evolution. An important medium exploited by evolution for joining active subunits into greater agents is developmental bioelectricity, implemented by pre-neural use of ion channels and gap junctions to scale up cell-level feedback loops into anatomical homeostasis. This architecture of multi-scale competency of biological systems has important implications for plasticity of bodies and minds, greatly potentiating evolvability. Considering classical and recent data from the perspectives of computational science, evolutionary biology, and basal cognition, reveals a rich research program with many implications for cognitive science, evolutionary biology, regenerative medicine, and artificial intelligence.

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  1. Aaser P. Knudsen M. Ramstad O. H. van de Wijdeven R. Nichele S. Sandvig I. (2017). “ Towards making a cyborg: a closed-loop reservoir-neuro system,” in ECAL 2017: The 14th European Conference on Artificial Life (Lyon: MIT Press), 430– 437.
  2. Abraham W. C. Jones O. D. Glanzman D. L. (2019). Is plasticity of synapses the mechanism of long-term memory storage? NPJ Sci. Learn. 4: 9. 10.1038/s41539-019-0048-y 31285847 PMC6606636 · DOI
  3. Adams D. S. Lemire J. M. Kramer R. H. Levin M. (2014). Optogenetics in developmental biology: using light to control ion flux-dependent signals in Xenopus embryos. Int. J. Dev. Biol. 58 851– 861. 10.1387/ijdb.140207ml 25896279 PMC10468825 · DOI
  4. Adams D. S. Masi A. Levin M. H. (2007). H+ pump-dependent changes in membrane voltage are an early mechanism necessary and sufficient to induce Xenopus tail regeneration. Development 134 1323– 1335. 10.1242/dev.02812 17329365 · DOI
  5. Adams D. S. Tseng A. S. Levin M. (2013). Light-activation of the Archaerhodopsin H(+)-pump reverses age-dependent loss of vertebrate regeneration: sparking system-level controls in vivo. Biol. Open 2 306– 313. 10.1242/bio.20133665 23519324 PMC3603412 · DOI
  6. Adams D. S. Uzel S. G. Akagi J. Wlodkowic D. Andreeva V. Yelick P. C. (2016). Bioelectric signalling via potassium channels: a mechanism for craniofacial dysmorphogenesis in KCNJ2-associated Andersen-Tawil Syndrome. J. Physiol. 594 3245– 3270. 10.1113/JP271930 26864374 PMC4908029 · DOI
  7. Ameriks K. (1976). Personal identity and memory transfer. Southern J. Phil. 14 385– 391. 10.1111/j.2041-6962.1976.tb01295.x · DOI
  8. Anderson M. J. Sullivan J. G. Horiuchi T. Fuller S. B. Daniel T. L. (2020). A bio-hybrid odor-guided autonomous palm-sized air vehicle. Bioinspir. Biomim. 16: 026002. 10.1088/1748-3190/abbd81 33002883 · DOI
  9. Ando N. Kanzaki R. (2020). Insect-machine hybrid robot. Curr. Opin. Insect. Sci. 42 61– 69. 10.1016/j.cois.2020.09.006 32992040 · DOI
  10. Ariazi J. Benowitz A. De Biasi V. Den Boer M. L. Cherqui S. Cui H. (2017). Tunneling nanotubes and gap junctions-their role in long-range intercellular communication during development, health, and disease conditions. Front. Mol. Neurosci. 10: 333. 10.3389/fnmol.2017.00333 29089870 PMC5651011 · DOI
  11. Armstrong J. D. de Belle J. S. Wang Z. Kaiser K. (1998). Metamorphosis of the mushroom bodies; large-scale rearrangements of the neural substrates for associative learning and memory in Drosophila. Learn. Mem. 5 102– 114. 10454375 PMC311269
  12. Auletta G. (2011). Teleonomy: the feedback circuit involving information and thermodynamic processes. J. Mod. Phys. 2 136– 145. 10.4236/jmp.2011.23021 · DOI
  13. Bach-y-Rita P. (1981). Brain plasticity as a basis of the development of rehabilitation procedures for hemiplegia. Scand. J. Rehabil. Med. 13 73– 83. 7345569
  14. Bach-y-Rita P. Collins C. C. Saunders F. A. White B. Scadden L. (1969). Vision substitution by tactile image projection. Nature 221 963– 964. 10.1038/221963a0 5818337 · DOI · Paper page
  15. Badcock P. B. Friston K. J. Ramstead M. J. D. (2019). The hierarchically mechanistic mind: a free-energy formulation of the human psyche. Phys. Life Rev. 31: 104– 121. 10.1016/j.plrev.2018.10.002 30704846 PMC6941235 · DOI · Paper page
  16. Bakkum D. J. Gamblen P. M. Ben-Ary G. Chao Z. C. Potter S. M. (2007b). MEART: the semi-living artist. Front. Neurorobot. 1: 5. 10.3389/neuro.12.005.2007 18958276 PMC2533587 · DOI
  17. Bakkum D. J. Chao Z. C. Gamblen P. Ben-Ary G. Shkolnik A. G. DeMarse T. B. (2007a). “ Embodying cultured networks with a robotic drawing arm,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 2007 (Lyon), 2996– 2999. 10.1109/IEMBS.2007.4352959 18002625 · DOI
  18. Balazsi G. van Oudenaarden A. Collins J. J. (2011). Cellular decision making and biological noise: from microbes to mammals. Cell 144 910– 925. 10.1016/j.cell.2011.01.030 21414483 PMC3068611 · DOI
  19. Baluška F. Levin M. (2016). On having no head: cognition throughout biological systems. Front. Psychol. 7: 902. 10.3389/fpsyg.2016.00902 27445884 PMC4914563 · DOI
  20. Baluska F. Mancuso S. (2012). Ion channels in plants: from bioelectricity, via signaling, to behavioral actions. Plant Signal. Behav. 8: e23009. 10.4161/psb.23009 23221742 PMC3745586 · DOI
  21. Baluska F. Reber A. (2019). Sentience and consciousness in single cells: how the first minds emerged in unicellular species. BioEssays 41: e1800229. 10.1002/bies.201800229 30714631 · DOI · Paper page
  22. Baluska F. Miller W. B. Jr. Reber A. S. (2021). Biomolecular basis of cellular consciousness via subcellular nanobrains. Int. J. Mol. Sci. 22: 2545. 10.3390/ijms22052545 33802617 PMC7961929 · DOI
  23. Baluska F. Yokawa K. Mancuso S. Baverstock K. (2016). Understanding of anesthesia - Why consciousness is essential for life and not based on genes. Commun. Integr. Biol. 9: e1238118. 10.1080/19420889.2016.1238118 28042377 PMC5193047 · DOI
  24. Barilan Y. M. (2003). One or two: an examination of the recent case of the conjoined twins from Malta. J. Med. Philos. 28 27– 44. 10.1076/jmep.28.1.27.14176 12715280 · DOI
  25. Bates E. (2015). Ion channels in development and cancer. Annu. Rev. Cell Dev. Biol. 31 231– 247. 10.1146/annurev-cellbio-100814-125338 26566112 · DOI
  26. Batterman R. (2015). “ Autonomy and scales,” in Front Collection, eds Falkenburg B. Morrison M. (Berlin: Springer), 115– 135. 10.1007/978-3-662-43911-1_7 · DOI
  27. Batterman R. W. Rice C. C. (2014). Minimal model explanations. Philos. Sci. 81 349– 376. 10.1086/676677 · DOI
  28. Bayne T. Brainard D. Byrne R. W. Chittka L. Clayton N. Heyes C. (2019). What is cognition? Curr. Biol. 29 R608– R615. 10.1016/j.cub.2019.05.044 31287972 · DOI
  29. Bedecarrats A. Chen S. Pearce K. Cai D. Glanzman D. L. (2018). RNA from trained aplysia can induce an epigenetic engram for long-term sensitization in untrained aplysia. eNeuro 5: ENEURO.0038-18.2018. 10.1523/ENEURO.0038-18.2018 29789810 PMC5962046 · DOI
  30. Beekman M. Latty T. (2015). Brainless but multi-headed: decision making by the acellular slime mould Physarum polycephalum. J. Mol. Biol. 427 3734– 3743. 10.1016/j.jmb.2015.07.007 26189159 · DOI
  31. Beer R. D. (2014). The cognitive domain of a glider in the game of life. Artif. Life 20 183– 206. 10.1162/ARTL_a_00125 24494612 · DOI
  32. Beer R. D. (2015). Characterizing autopoiesis in the game of life. Artif. Life 21 1– 19. 10.1162/ARTL_a_00143 25148547 · DOI
  33. Beer R. D. Williams P. L. (2015). Information processing and dynamics in minimally cognitive agents. Cogn. Sci. 39 1– 38. 10.1111/cogs.12142 25039535 · DOI
  34. Beggs J. M. (2008). The criticality hypothesis: how local cortical networks might optimize information processing. Philos. Trans. A Math. Phys. Eng. Sci. 366 329– 343. 10.1098/rsta.2007.2092 17673410 · DOI · Paper page
  35. Belwafi K. Gannouni S. Aboalsamh H. (2021). Embedded brain computer interface: state-of-the-art in research. Sensors 21: 4293. 10.3390/s21134293 34201788 PMC8271671 · DOI
  36. Berdahl A. M. Kao A. B. Flack A. Westley P. A. H. Codling E. A. Couzin I. D. (2018). Collective animal navigation and migratory culture: from theoretical models to empirical evidence. Philos. Transac. R. Soc. B Biol. Sci. 373: 20170009. 10.1098/rstb.2017.0009 29581394 PMC5882979 · DOI
  37. Biswas S. Manicka S. Hoel E. Levin M. (2021). Gene regulatory networks exhibit several kinds of memory: quantification of memory in biological and random transcriptional networks. iScience 24: 102131. 10.1016/j.isci.2021.102131 33748699 PMC7970124 · DOI
  38. Blackiston D. J. Levin M. (2013). Ectopic eyes outside the head in Xenopus tadpoles provide sensory data for light-mediated learning. J. Exp. Biol. 216(Pt. 6), 1031– 1040. 10.1242/jeb.074963 23447666 PMC3587383 · DOI
  39. Blackiston D. J. Silva Casey E. Weiss M. R. (2008). Retention of memory through metamorphosis: can a moth remember what it learned as a caterpillar? PLoS One 3: e1736. 10.1371/journal.pone.0001736 18320055 PMC2248710 · DOI
  40. Blackiston D. J. Vien K. Levin M. (2017). Serotonergic stimulation induces nerve growth and promotes visual learning via posterior eye grafts in a vertebrate model of induced sensory plasticity. NPJ Regen. Med. 2: 8. 10.1038/s41536-017-0012-5 29302344 PMC5665622 · DOI
  41. Blackiston D. Adams D. S. Lemire J. M. Lobikin M. Levin M. (2011). Transmembrane potential of GlyCl-expressing instructor cells induces a neoplastic-like conversion of melanocytes via a serotonergic pathway. Dis. Models Mech. 4 67– 85. 10.1242/dmm.005561 20959630 PMC3008964 · DOI
  42. Blackiston D. Lederer E. K. Kriegman S. Garnier S. Bongard J. Levin M. (2021). A cellular platform for the development of synthetic living machines. Sci. Robot 6: eabf1571. 10.1126/scirobotics.abf1571 34043553 · DOI · Paper page
  43. Blackiston D. Shomrat T. Levin M. (2015). The stability of memories during brain remodeling: a perspective. Commun. Integr. Biol. 8: e1073424. 10.1080/19420889.2015.1073424 27066165 PMC4802789 · DOI
  44. Bongard J. Levin M. (2021). Living things are not (20th Century) machines: updating mechanism metaphors in light of the modern science of machine behavior. Front. Ecol. Evol. 9: 650726. 10.3389/fevo.2021.650726 · DOI
  45. Bongard J. Zykov V. Lipson H. (2006). Resilient machines through continuous self-modeling. Science 314 1118– 1121. 10.1126/science.1133687 17110570 · DOI · Paper page
  46. Bonzanni M. Rouleau N. Levin M. Kaplan D. L. (2020). Optogenetically induced cellular habituation in non-neuronal cells. PLoS One 15: e0227230. 10.1371/journal.pone.0227230 31951626 PMC6968872 · DOI
  47. Bostrom N. (2015). Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press.
  48. Boussard A. Delescluse J. Perez-Escudero A. Dussutour A. (2019). Memory inception and preservation in slime moulds: the quest for a common mechanism. Philos. Trans. R. Soc. Lond. B Biol. Sci. 374: 20180368. 10.1098/rstb.2018.0368 31006372 PMC6553583 · DOI
  49. Boyle E. A. Li Y. I. Pritchard J. K. (2017). An expanded view of complex traits: from polygenic to omnigenic. Cell 169 1177– 1186. 10.1016/j.cell.2017.05.038 28622505 PMC5536862 · DOI · Paper page
  50. Brugger P. Macas E. Ihlemann J. (2002). Do sperm cells remember? Behav. Brain Res. 136 325– 328. 10.1016/s0166-4328(02)00127-4 12385819 · DOI
  51. Bubenik A. B. Pavlansky R. (1965). Trophic responses to trauma in growing antlers. J. Exp. Zool. 159 289– 302. 10.1002/jez.1401590302 5883952 · DOI
  52. Bucher D. Anderson P. A. V. (2015). Evolution of the first nervous systems – what can we surmise? J. Exp. Biol. 218 501– 503. 10.1242/jeb.111799 · DOI
  53. Busse S. M. McMillen P. T. Levin M. (2018). Cross-limb communication during Xenopus hindlimb regenerative response: non-local bioelectric injury signals. Development 145: dev164210. 10.1242/dev.164210 30126906 · DOI
  54. Buznikov G. A. Peterson R. E. Nikitina L. A. Bezuglov V. V. Lauder J. M. (2005). The pre-nervous serotonergic system of developing sea urchin embryos and larvae: pharmacologic and immunocytochemical evidence. Neurochem. Res. 30 825– 837. 10.1007/s11064-005-6876-6 16187217 · DOI
  55. Calvo P. Friston K. (2017). Predicting green: really radical (plant) predictive processing. J. R. Soc. Interface 14: 20170096. 10.1098/rsif.2017.0096 28637913 PMC5493793 · DOI
  56. Camley B. A. (2018). Collective gradient sensing and chemotaxis: modeling and recent developments. J. Phys. Condens. Matter 30: 223001. 10.1088/1361-648X/aabd9f 29644981 PMC6252055 · DOI
  57. Cartmill M. (2017). Convergent? Minds? Some questions about mental evolution. Interface Focus 7: 20160125. 10.1098/rsfs.2016.0125 28479984 PMC5413895 · DOI
  58. Cebrià F. Adell T. Saló E. (2018). Rebuilding a planarian: from early signaling to final shape. Int. J. Dev. Biol. 62 537– 550. 10.1387/ijdb.180042es 29938765 · DOI
  59. Cervera J. Levin M. Mafe S. (2020a). Bioelectrical coupling of single-cell states in multicellular systems. J. Phys. Chem. Lett. 3234– 3241. 10.1021/acs.jpclett.0c00641 32243754 · DOI
  60. Cervera J. Meseguer S. Levin M. Mafe S. (2020b). Bioelectrical model of head-tail patterning based on cell ion channels and intercellular gap junctions. Bioelectrochemistry 132: 107410. 10.1016/j.bioelechem.2019.107410 31821903 · DOI
  61. Cervera J. Pai V. P. Levin M. Mafe S. (2019b). From non-excitable single-cell to multicellular bioelectrical states supported by ion channels and gap junction proteins: Electrical potentials as distributed controllers. Prog. Biophys. Mol. Biol. 149 39– 53. 10.1016/j.pbiomolbio.2019.06.004 31255702 · DOI
  62. Cervera J. Manzanares J. A. Mafe S. Levin M. (2019a). Synchronization of bioelectric oscillations in networks of nonexcitable cells: from single-cell to multicellular states. J. Phys. Chem. B 123 3924– 3934. 10.1021/acs.jpcb.9b01717 31003574 · DOI
  63. Cervera J. Pietak A. Levin M. Mafe S. (2018). Bioelectrical coupling in multicellular domains regulated by gap junctions: a conceptual approach. Bioelectrochemistry 123 45– 61. 10.1016/j.bioelechem.2018.04.013 29723806 · DOI
  64. Chalmers D. (1996). The Conscious Mind. New York, NY: Oxford University Press.
  65. Chamola V. Vineet A. Nayyar A. Hossain E. (2020). Brain-computer interface-based humanoid control: a review. Sensors 20: 3620. 10.3390/s20133620 32605077 PMC7374399 · DOI
  66. Chao Z. C. Bakkum D. J. Potter S. M. (2008). Shaping embodied neural networks for adaptive goal-directed behavior. PLoS Comput. Biol. 4: e1000042. 10.1371/journal.pcbi.1000042 18369432 PMC2265558 · DOI
  67. Chen S. Cai D. Pearce K. Sun P. Y. Roberts A. C. Glanzman D. L. (2014). Reinstatement of long-term memory following erasure of its behavioral and synaptic expression in Aplysia. Elife 3: e03896. 10.7554/eLife.03896 25402831 PMC4270066 · DOI
  68. Chernet B. T. Adams D. S. Lobikin M. Levin M. (2016). Use of genetically encoded, light-gated ion translocators to control tumorigenesis. Oncotarget 7 19575– 19588. 10.18632/oncotarget.8036 26988909 PMC4991402 · DOI
  69. Chernet B. T. Levin M. (2013a). Endogenous voltage potentials and the microenvironment: bioelectric signals that reveal, induce and normalize cancer. J. Clin. Exp. Oncol. Suppl. 1 S1– 002. 10.4172/2324-9110.S1-002 25525610 PMC4267524 · DOI
  70. Chernet B. T. Levin M. (2013b). Transmembrane voltage potential is an essential cellular parameter for the detection and control of tumor development in a Xenopus model. Dis. Models Mech. 6 595– 607. 10.1242/dmm.010835 23471912 PMC3634644 · DOI · Paper page
  71. Chernet B. T. Levin M. (2014). Transmembrane voltage potential of somatic cells controls oncogene-mediated tumorigenesis at long-range. Oncotarget 5 3287– 3306. 10.18632/oncotarget.1935 24830454 PMC4102810 · DOI
  72. Chiu L. Gilbert S. F. (2015). The birth of the holobiont: multi-species birthing through mutual scaffolding and niche construction. Biosemiotics 8 191– 210. 10.1007/s12304-015-9232-5 · DOI
  73. Chow R. L. Altmann C. R. Lang R. A. Hemmati-Brivanlou A. (1999). Pax6 induces ectopic eyes in a vertebrate. Dev. Suppl. 126 4213– 4222. 10.1242/dev.126.19.4213 10477290 · DOI
  74. Cohen-Karni T. Langer R. Kohane D. S. (2012). The smartest materials: the future of nanoelectronics in medicine. ACS Nano 6 6541– 6545. 10.1021/nn302915s 22850578 · DOI
  75. Cook N. D. Carvalho G. B. Damasio A. (2014). From membrane excitability to metazoan psychology. Trends Neurosci. 37 698– 705. 10.1016/j.tins.2014.07.011 25176475 · DOI
  76. Couzin I. (2007). Collective minds. Nature 445: 715. 10.1038/445715a 17301775 · DOI
  77. Couzin I. D. (2009). Collective cognition in animal groups. Trends Cogn. Sci. 13 36– 43. 10.1016/j.tics.2008.10.002 19058992 · DOI
  78. Couzin I. D. Krause J. James R. Ruxton G. D. Franks N. R. (2002). Collective memory and spatial sorting in animal groups. J. Theor. Biol. 218 1– 11. 10.1006/jtbi.2002.3065 12297066 · DOI
  79. Daniels B. C. Ellison C. J. Krakauer D. C. Flack J. C. (2016). Quantifying collectivity. Curr. Opin. Neurobiol. 37 106– 113. 10.1016/j.conb.2016.01.012 26874472 · DOI
  80. Danilov Y. Tyler M. (2005). Brainport: an alternative input to the brain. J. Integr. Neurosci. 4 537– 550. 10.1142/s0219635205000914 16385646 · DOI
  81. DeMarse T. B. Dockendorf K. P. (2005). “ Adaptive flight control with living neuronal networks on microelectrode arrays,” in Proceedings. 2005 IEEE International Joint Conference on Neural Networks, (Montreal, QC), 1548– 1551.
  82. Demarse T. B. Wagenaar D. A. Blau A. W. Potter S. M. (2001). The neurally controlled animat: biological brains acting with simulated bodies. Auton. Robots 11 305– 310. 10.1023/a:1012407611130 18584059 PMC2440704 · DOI
  83. Dennett D. C. (1987). The Intentional Stance. Cambridge, MA: MIT Press, 388.
  84. Dexter J. P. Prabakaran S. Gunawardena J. (2019). A complex hierarchy of avoidance behaviors in a single-cell eukaryote. Curr. Biol. 29 4323– 4329.e2. 10.1016/j.cub.2019.10.059 31813604 · DOI
  85. Di Paulo E. A. (2000). “ Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions,” in Proceedings of the SAB2000 Sixth International Conference on Simulation of Adaptive Behavior: From Animals to Animats, eds Meyer J.-A. Berthoz A. Floreano D. Roitblat H. L. Wilson S. W. Paris.
  86. di Primio F. Muller B. S. Lengeler J. W. (2000). “ Minimal cognition in unicellular organisms,” in Proceedings of the SAB2000 Sixth International Conference on Simulation of Adaptive Behavior: From Animals to Animats, eds Meyer J.-A. Berthoz A. Floreano D. Roitblat H. L. Wilson S. W. (Paris).
  87. Dietrich E. Fields C. Hoffman D. D. Prentner R. (2020). Editorial: epistemic feelings: phenomenology, implementation, and role in cognition. Front. Psychol. 11: 606046. 10.3389/fpsyg.2020.606046 33192954 PMC7652734 · DOI
  88. Ding S. O’Banion C. P. Welfare J. G. Lawrence D. S. (2018). Cellular cyborgs: on the precipice of a drug delivery revolution. Cell Chem. Biol. 25 648– 658. 10.1016/j.chembiol.2018.03.003 29628434 · DOI
  89. Dong X. Kheiri S. Lu Y. Xu Z. Zhen M. Liu X. (2021). Toward a living soft microrobot through optogenetic locomotion control of Caenorhabditis elegans. Sci. Robot. 6: eabe3950. 10.1126/scirobotics.abe3950 34193562 · DOI
  90. Downing K. L. (2004). Development and the Baldwin effect. Artif. Life 10 39– 63. 10.1162/106454604322875904 15035862 · DOI
  91. Dukas R. (1998). Cognitive Ecology: The Evolutionary Ecology of Information Processing and Decision Making. Chicago, IL: Chicago University Press. 21227213
  92. Durant F. Morokuma J. Fields C. Williams K. Adams D. S. Levin M. (2017). Long-term, stochastic editing of regenerative anatomy via targeting endogenous bioelectric gradients. Biophys. J. 112 2231– 2243. 10.1016/j.bpj.2017.04.011 28538159 PMC5443973 · DOI
  93. Egeblad M. Nakasone E. S. Werb Z. (2010). Tumors as organs: complex tissues that interface with the entire organism. Dev. Cell 18 884– 901. 10.1016/j.devcel.2010.05.012 20627072 PMC2905377 · DOI
  94. Elgart M. Snir O. Soen Y. (2015). Stress-mediated tuning of developmental robustness and plasticity in flies. Biochim. Biophys. Acta 1849 462– 466. 10.1016/j.bbagrm.2014.08.004 25134463 · DOI
  95. Ellis G. F. R. (2008). On the nature of causation in complex systems. Transac. R. Soc. South Afr. 63 69– 84. 10.1080/00359190809519211 · DOI
  96. Ellis G. F. R. Noble D. O’Connor T. (2012). Top-down causation: an integrating theme within and across the sciences? Introduction. Interface Focus 2 1– 3. 10.1098/Rsfs.2011.0110 · DOI
  97. Emmons-Bell M. Durant F. Hammelman J. Bessonov N. Volpert V. Morokuma J. (2015). Gap junctional blockade stochastically induces different species-specific head anatomies in genetically wild-type girardia dorotocephala flatworms. Int. J. Mol. Sci. 16 27865– 27896. 10.3390/ijms161126065 26610482 PMC4661923 · DOI
  98. Emmons-Bell M. Durant F. Tung A. Pietak A. Miller K. Kane A. (2019). Regenerative adaptation to electrochemical perturbation in planaria: a molecular analysis of physiological plasticity. iScience 22 147– 165. 10.1016/j.isci.2019.11.014 31765995 PMC6881696 · DOI
  99. Fankhauser G. (1945a). Maintenance of normal structure in heteroploid salamander larvae, through compensation of changes in cell size by adjustment of cell number and cell shape. J. Exp. Zool. 100 445– 455. 10.1002/jez.1401000310 21010861 · DOI
  100. Fankhauser G. (1945b). The effects of changes in chromosome number on amphibian development. Q. Rev. Biol. 20 20– 78. 10.2307/2809003 · DOI
  101. Feynman R. (1942). The Principle of Least Action in Quantum Mechanics. Ph.D Thesis. Princeton, NJ: Princeton University.
  102. Fields C. Levin M. (2017). Multiscale memory and bioelectric error correction in the cytoplasm–cytoskeleton-membrane system. Wiley Interdiscip. Rev. Syst. Biol. Med. 10 e1410. 10.1002/wsbm.1410 29148257 · DOI
  103. Fields C. Bischof J. Levin M. (2020). Morphological coordination: a common ancestral function unifying neural and non-neural signaling. Physiology 35 16– 30. 10.1152/physiol.00027.2019 31799909 · DOI
  104. Flack J. C. (2017). Coarse-graining as a downward causation mechanism. Philos. Trans. A Math. Phys. Eng. Sci. 375: 20160338. 10.1098/rsta.2016.0338 29133440 PMC5686398 · DOI
  105. Fontes P. Komori J. Lopez R. Marsh W. Lagasse E. (2020). Development of ectopic livers by hepatocyte transplantation into swine lymph nodes. Liver Transpl. 26 1629– 1643. 10.1002/lt.25872 32810371 PMC7756213 · DOI
  106. Ford B. J. (2017). Cellular intelligence: microphenomenology and the realities of being. Prog. Biophys. Mol. Biol. 131 273– 287. 10.1016/j.pbiomolbio.2017.08.012 28847611 · DOI
  107. Forraz N. Wright K. E. Jurga M. McGuckin C. P. (2013). Experimental therapies for repair of the central nervous system: stem cells and tissue engineering. J. Tissue Eng. Regen. Med. 7 523– 536. 10.1002/term.552 22467493 · DOI
  108. Frank S. A. (2018). Measurement invariance explains the universal law of generalization for psychological perception. Proc. Natl. Acad. Sci. U.S.A. 115 9803– 9806. 10.1073/pnas.1809787115 30201714 PMC6166795 · DOI
  109. Frank S. A. (2019a). Evolutionary design of regulatory control. I. A robust control theory analysis of tradeoffs. J. Theor. Biol. 463 121– 137. 10.1016/j.jtbi.2018.12.023 30571960 · DOI
  110. Frank S. A. (2019b). Evolutionary design of regulatory control. II. Robust error-correcting feedback increases genetic and phenotypic variability. J. Theor. Biol. 468 72– 81. 10.1016/j.jtbi.2019.02.012 30796941 · DOI
  111. Friston K. (2013). Life as we know it. J. R. Soc. Interface 10: 20130475. 10.1098/rsif.2013.0475 23825119 PMC3730701 · DOI · Paper page
  112. Friston K. J. Shiner T. FitzGerald T. Galea J. M. Adams R. Brown H. (2012). Dopamine, affordance and active inference. PLoS Comput. Biol. 8: e1002327. 10.1371/journal.pcbi.1002327 22241972 PMC3252266 · DOI · Paper page
  113. Friston K. Ao P. (2012). Free energy, value, and attractors. Comput. Math. Methods Med. 2012: 937860. 10.1155/2012/937860 22229042 PMC3249597 · DOI
  114. Friston K. Rigoli F. Ognibene D. Mathys C. Fitzgerald T. Pezzulo G. (2015b). Active inference and epistemic value. Cogn. Neurosci. 6 187– 214. 10.1080/17588928.2015.1020053 25689102 · DOI · Paper page
  115. Friston K. Sengupta B. Auletta G. (2014). Cognitive dynamics: from attractors to active inference. Proc. IEEE 102 427– 445. 10.1109/Jproc.2014.2306251 · DOI
  116. Fukumoto T. Kema I. P. Levin M. (2005b). Serotonin signaling is a very early step in patterning of the left-right axis in chick and frog embryos. Curr. Biol. 15 794– 803. 10.1016/j.cub.2005.03.044 15886096 · DOI
  117. Fukumoto T. Blakely R. Levin M. (2005a). Serotonin transporter function is an early step in left-right patterning in chick and frog embryos. Dev. Neurosci. 27 349– 363. 10.1159/000088451 16280633 · DOI
  118. Gao J. Liu Y. Y. D’Souza R. M. Barabasi A. L. (2014). Target control of complex networks. Nat. Commun. 5: 5415. 10.1038/ncomms6415 25388503 PMC4243219 · DOI
  119. Gawne R. McKenna K. Z. Levin M. (2020). Competitive and coordinative interactions between body parts produce adaptive developmental outcomes. BioEssays 42: e1900245. 10.1002/bies.201900245 32608061 · DOI
  120. Georgiev G. Georgiev I. (2002). The least action and the metric of an organized system. Open Syst. Inf. Dyn. 9 371– 380. 10.1023/A:1021858318296 · DOI
  121. Gerhart J. Kirschner M. (2007). The theory of facilitated variation. Proc. Natl. Acad. Sci. U.S.A. 104 (Suppl. 1), 8582– 8589. 10.1073/pnas.0701035104 17494755 PMC1876433 · DOI
  122. Gershman S. J. Balbi P. E. Gallistel C. R. Gunawardena J. (2021). Reconsidering the evidence for learning in single cells. Elife 10: e61907. 10.7554/eLife.61907 33395388 PMC7781593 · DOI
  123. Ghoneim M. M. Block R. I. (1997). Learning and memory during general anesthesia: an update. Anesthesiology 87 387– 410. 10.1097/00000542-199708000-00027 9286904 · DOI
  124. Giselbrecht S. Rapp B. E. Niemeyer C. M. (2013). The chemistry of cyborgs–interfacing technical devices with organisms. Angew. Chem. Int. Ed. Engl. 52 13942– 13957. 10.1002/anie.201307495 24288270 · DOI
  125. Godfrey-Smith P. (2009). Darwinian Populations and Natural Selection. Oxford: Oxford University Press, 207.
  126. Goel P. Mehta A. (2013). Learning theories reveal loss of pancreatic electrical connectivity in diabetes as an adaptive response. PLoS One 8: e70366. 10.1371/journal.pone.0070366 23936417 PMC3731314 · DOI
  127. Green A. M. Kalaska J. F. (2011). Learning to move machines with the mind. Trends Neurosci. 34 61– 75. 10.1016/j.tins.2010.11.003 21176975 · DOI
  128. Gremiaux A. Yokawa K. Mancuso S. Baluska F. (2014). Plant anesthesia supports similarities between animals and plants: claude Bernard’s forgotten studies. Plant Signal. Behav. 9: e27886. 10.4161/psb.27886 24476640 PMC4091246 · DOI
  129. Grossberg S. (1978). “ Communication, memory, and development,” in Progress in Theoretical Biology, Vol. 5 eds Rosen R. Snell F. (New York, NY: Academic Press).
  130. Hadj-Chikh L. Z. Steele M. A. Smallwood P. D. (1996). Caching decisions by grey squirrels: a test of the handling time and perishability hypotheses. Anim. Behav. 52 941– 948. 10.1006/anbe.1996.0242 · DOI
  131. Haigh E. L. (1976). Vitalism, the soul, and sensibility: the physiology of Theophile Bordeu. J. Hist. Med. Allied Sci. 31 30– 41. 10.1093/jhmas/xxxi.1.30 770563 · DOI
  132. Hankey A. (2015). A complexity basis for phenomenology: how information states at criticality offer a new approach to understanding experience of self, being and time. Prog. Biophys. Mol. Biol. 119 288– 302. 10.1016/j.pbiomolbio.2015.07.010 26254044 · DOI
  133. Harris M. P. (2021). Bioelectric signaling as a unique regulator of development and regeneration. Development 148: dev180794. 10.1242/dev.180794 33999994 PMC8180260 · DOI
  134. Heams T. (2012). Selection within organisms in the nineteenth century: Wilhelm Roux’s complex legacy. Prog. Biophys. Mol. Biol. 110 24– 33. 10.1016/j.pbiomolbio.2012.04.004 22525790 · DOI
  135. Hernandez-Diaz S. Levin M. (2014). Alteration of bioelectrically-controlled processes in the embryo: a teratogenic mechanism for anticonvulsants. Reprod. Toxicol. 47 111– 114. 10.1016/j.reprotox.2014.04.008 24815983 PMC4157224 · DOI
  136. Herrera-Delgado E. Perez-Carrasco R. Briscoe J. Sollich P. (2018). Memory functions reveal structural properties of gene regulatory networks. PLoS Comput. Biol. 14: e1006003. 10.1371/journal.pcbi.1006003 29470492 PMC5839594 · DOI
  137. Hoel E. P. Albantakis L. Tononi G. (2013). Quantifying causal emergence shows that macro can beat micro. Proc. Natl. Acad. U.S.A. 110 19790– 19795. 10.1073/pnas.1314922110 24248356 PMC3856819 · DOI
  138. Hoel E. P. Albantakis L. Marshall W. Tononi G. (2016). Can the macro beat the micro? Integrated information across spatiotemporal scales. Neurosci. Conscious. 2016: niw012. 10.1093/nc/niw012 30788150 PMC6367968 · DOI · Paper page
  139. Hoffman D. D. (2017). “ The interface theory of perception,” in Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, ed. Wixted J. T. (Hoboken, NJ: Wiley).
  140. Hogenson G. B. (2001). The Baldwin effect: a neglected influence on C. G. Jung’s evolutionary thinking. J. Anal. Psychol. 46 591– 611. 10.1111/1465-5922.00269 11675893 · DOI
  141. Hopfield J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. U.S.A. 79 2554– 2558. 10.1073/pnas.79.8.2554 6953413 PMC346238 · DOI · Paper page
  142. Hover S. Foster B. Barr J. N. Mankouri J. (2017). Viral dependence on cellular ion channels - an emerging anti-viral target? J. Gen. Virol. 98 345– 351. 10.1099/jgv.0.000712 28113044 · DOI
  143. Huang H. Liu S. Kornberg T. B. (2019). Glutamate signaling at cytoneme synapses. Science 363 948– 955. 10.1126/science.aat5053 30819957 PMC7008667 · DOI
  144. Hughes D. P. Araujo J. P. Loreto R. G. Quevillon L. de Bekker C. Evans H. C. (2016). From so simple a beginning: the evolution of behavioral manipulation by fungi. Adv Genet 94 437– 469. 10.1016/bs.adgen.2016.01.004 27131331 · DOI
  145. Humphries J. Xiong L. Liu J. Prindle A. Yuan F. Arjes H. A. (2017). Species-independent attraction to biofilms through electrical signaling. Cell 168 200– 209.e12. 10.1016/j.cell.2016.12.014 28086091 PMC5497501 · DOI
  146. Hyun I. Scharf-Deering J. C. Lunshof J. E. (2020). Ethical issues related to brain organoid research. Brain Res. 1732: 146653. 10.1016/j.brainres.2020.146653 32017900 PMC7140135 · DOI
  147. Inoue J. (2008). A simple Hopfield-like cellular network model of plant intelligence. Prog. Brain Res. 168 169– 174. 10.1016/S0079-6123(07)68014-5 18166394 · DOI
  148. Jekely G. Keijzer F. Godfrey-Smith P. (2015). An option space for early neural evolution. Philos. Trans. R. Soc. Lond. B Biol. Sci. 370: 20150181. 10.1098/rstb.2015.0181 26554049 PMC4650133 · DOI · Paper page
  149. Jennings H. S. (1906). Behavior of the Lower Organisms. New York, NY: The Columbia university press, 366.
  150. Kaila V. R. I. Annila A. (2008). Natural selection for least action. Proc. R. Soc A 464 3055– 3070. 10.1098/Rspa.2008.0178 · DOI · Paper page
  151. Kang J. H. Manousaki T. Franchini P. Kneitz S. Schartl M. Meyer A. (2015). Transcriptomics of two evolutionary novelties: how to make a sperm-transfer organ out of an anal fin and a sexually selected “sword” out of a caudal fin. Ecol. Evol. 5 848– 864. 10.1002/ece3.1390 25750712 PMC4338968 · DOI
  152. Karpas E. D. Shklarsh A. Schneidman E. (2017). Information socialtaxis and efficient collective behavior emerging in groups of information-seeking agents. Proc. Natl. Acad. Sci. U.S.A. 114 5589– 5594. 10.1073/pnas.1618055114 28507154 PMC5465909 · DOI
  153. Keijzer F. (2015). Moving and sensing without input and output: early nervous systems and the origins of the animal sensorimotor organization. Biol. Philos. 30 311– 331. 10.1007/s10539-015-9483-1 26005236 PMC4438119 · DOI · Paper page
  154. Keijzer F. van Duijn M. Lyon P. (2013). What nervous systems do: early evolution, input-output, and the skin brain thesis. Adapt Behav. 21 67– 85. 10.1177/1059712312465330 · DOI
  155. Kelz M. B. Garcia P. S. Mashour G. A. Solt K. (2019). Escape from oblivion: neural mechanisms of emergence from general Anesthesia. Anesth. Analg. 128 726– 736. 10.1213/ANE.0000000000004006 30883418 PMC6885009 · DOI
  156. Koshland D. E. (1983). The bacterium as a model neuron. Trends Neurosci. 6 133– 137. 10.1016/0166-2236(83)90066-8 · DOI
  157. Kouvaris K. Clune J. Kounios L. Brede M. Watson R. A. (2017). How evolution learns to generalise: using the principles of learning theory to understand the evolution of developmental organisation. PLoS Comput. Biol. 13: e1005358. 10.1371/journal.pcbi.1005358 28384156 PMC5383015 · DOI
  158. Krakauer D. Bertschinger N. Olbrich E. Ay N. Flack J. C. (2014). The Information Theory of Individuality. arXiv [Preprint]. Available online at: https://arxiv.org/abs/1412.2447 (accessed February 2, 2022). PMC7244620 32212028 · arXiv
  159. Kralj J. M. Hochbaum D. R. Douglass A. D. Cohen A. E. (2011). Electrical spiking in Escherichia coli probed with a fluorescent voltage-indicating protein. Science 333 345– 348. 10.1126/science.1204763 21764748 · DOI
  160. Kriegman S. Blackiston D. Levin M. Bongard J. (2020a). A scalable pipeline for designing reconfigurable organisms. Proc. Natl. Acad. Sci. U.S.A. 117 1853– 1859. 10.1073/pnas.1910837117 31932426 PMC6994979 · DOI
  161. Kriegman S. Nasab A. M. Shah D. Steele H. Branin G. Levin M. (2020b). “ Scalable sim-to-real transfer of soft robot designs,” in Proceedings of the 2020 3rd IEEE International Conference on Soft Robotics (Robosoft), (New Haven, CT), 359– 366.
  162. Kuchling F. Friston K. Georgiev G. Levin M. (2020a). Integrating variational approaches to pattern formation into a deeper physics: reply to comments on “Morphogenesis as Bayesian inference: a variational approach to pattern formation and manipulation in complex biological systems”. Phys. Life Rev. 33 125– 128. 10.1016/j.plrev.2020.07.001 32682906 · DOI
  163. Kuchling F. Friston K. Georgiev G. Levin M. (2020b). Morphogenesis as Bayesian inference: a variational approach to pattern formation and control in complex biological systems. Phys. Life Rev. 33 88– 108. 10.1016/j.plrev.2019.06.001 31320316 · DOI
  164. Lan G. Tu Y. (2016). Information processing in bacteria: memory, computation, and statistical physics: a key issues review. Rep. Prog. Phys. 79: 052601. 10.1088/0034-4885/79/5/052601 PMC4955840 27058315 · DOI
  165. Langton C. G. (1995). Artificial Life: An Overview. Cambridge, MA: MIT Press.
  166. Larkin J. W. Zhai X. Kikuchi K. Redford S. E. Prindle A. Liu J. (2018). Signal percolation within a bacterial community. Cell Syst 7 137– 145.e3. 10.1016/j.cels.2018.06.005 30056004 PMC6214369 · DOI
  167. Law R. Levin M. (2015). Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cells. Theor. Biol. Med. Model 12: 22. 10.1186/s12976-015-0019-9 26472354 PMC4608135 · DOI
  168. Leithe E. Sirnes S. Omori Y. Rivedal E. (2006). Downregulation of gap junctions in cancer cells. Crit. Rev. Oncog. 12 225– 256. 10.1615/critrevoncog.v12.i3-4.30 17425504 · DOI
  169. Levin M. (2011). The wisdom of the body: future techniques and approaches to morphogenetic fields in regenerative medicine, developmental biology and cancer. Regen. Med. 6 667– 673. 10.2217/rme.11.69 22050517 · DOI
  170. Levin M. (2019). The computational boundary of a “Self”: developmental bioelectricity drives multicellularity and scale-free cognition. Front. Psychol. 10: 2688. 10.3389/fpsyg.2019.02688 31920779 PMC6923654 · DOI
  171. Levin M. (2020). Life, death, and self: fundamental questions of primitive cognition viewed through the lens of body plasticity and synthetic organisms. Biochem. Biophys. Res. Commun. 564 114– 133. 10.1016/j.bbrc.2020.10.077 33162026 · DOI · Paper page
  172. Levin M. (2021b). Bioelectrical approaches to cancer as a problem of the scaling of the cellular self. Prog. Biophys. Mol. Biol. 165 102– 113. 10.1016/j.pbiomolbio.2021.04.007 33961843 · DOI
  173. Levin M. (2022). TAME: technological approach to mind everywhere. PsyArXiv [Preprint] 10.31234/osf.io/t6e8p PMC8988303 35401131 · DOI
  174. Levin M. Martyniuk C. J. (2018). The bioelectric code: an ancient computational medium for dynamic control of growth and form. Biosystems 164 76– 93. 10.1016/j.biosystems.2017.08.009 28855098 PMC10464596 · DOI
  175. Levin M. Bongard J. Lunshof J. E. (2020). Applications and ethics of computer-designed organisms. Nat. Rev. Mol. Cell Biol. 21 655– 656. 10.1038/s41580-020-00284-z 32782340 · DOI
  176. Levin M. Buznikov G. A. Lauder J. M. (2006). Of minds and embryos: left-right asymmetry and the serotonergic controls of pre-neural morphogenesis. Dev. Neurosci. 28 171– 185. 10.1159/000091915 16679764 · DOI
  177. Levin M. Keijzer F. Lyon P. Arendt D. (2021). Uncovering cognitive similarities and differences, conservation and innovation. Philos. Trans. R. Soc. Lond. B Biol. Sci. 376: 20200458. 10.1098/rstb.2020.0458 33550950 PMC7935018 · DOI
  178. Levin M. Pezzulo G. Finkelstein J. M. (2017). Endogenous bioelectric signaling networks: exploiting voltage gradients for control of growth and form. Annu. Rev. Biomed. Eng. 19 353– 387. 10.1146/annurev-bioeng-071114-040647 28633567 PMC10478168 · DOI
  179. Li W. L. Matsuhisa N. Liu Z. Y. Wang M. Luo Y. F. Cai P. Q. (2021). An on-demand plant-based actuator created using conformable electrodes. Nat. Electron. 4 134– 142. 10.1038/s41928-020-00530-4 · DOI
  180. Liu J. Martinez-Corral R. Prindle A. Lee D. D. Larkin J. Gabalda-Sagarra M. (2017). Coupling between distant biofilms and emergence of nutrient time-sharing. Science 356 638– 642. 10.1126/science.aah4204 28386026 PMC5645014 · DOI
  181. Liu Y. Y. Slotine J. J. Barabasi A. L. (2011). Controllability of complex networks. Nature 473 167– 173. 10.1038/nature10011 21562557 · DOI
  182. Lobo D. Solano M. Bubenik G. A. Levin M. (2014). A linear-encoding model explains the variability of the target morphology in regeneration. J. R. Soc. 11: 20130918. 10.1098/rsif.2013.0918 24402915 PMC3899861 · DOI
  183. Lowell J. Pollack J. (eds) (2016). “ Developmental encodings promote the emergence of hierarchical modularity,” in Proceedings of the Artificial Life Conference 2016, (Cancun: MIT Press).
  184. Lyon P. (2006). The biogenic approach to cognition. Cogn. Process. 7 11– 29. 10.1007/s10339-005-0016-8 16628463 · DOI
  185. Lyon P. Kuchling F. (2021). Valuing what happens: a biogenic approach to valence and (potentially) affect. Philos. Trans. R. Soc. Lond. B Biol. Sci. 376: 20190752. 10.1098/rstb.2019.0752 33487109 PMC7935054 · DOI
  186. Lyon P. Keijzer F. Arendt D. Levin M. (2021). Reframing cognition: getting down to biological basics. Philos. Trans. R. Soc. Lond. B Biol. Sci. 376: 20190750. 10.1098/rstb.2019.0750 33487107 PMC7935032 · DOI · Paper page
  187. Man K. Damasio A. (2019). Homeostasis and soft robotics in the design of feeling machines. Nat. Mach. Intell. 1 446– 452. 10.1038/s42256-019-0103-7 · DOI
  188. Manicka S. Levin M. (2019b). The cognitive lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis. Philos. Trans. R. Soc. Lond. B Biol. Sci. 374: 20180369. 10.1098/rstb.2018.0369 31006373 PMC6553590 · DOI
  189. Mar R. A. Kelley W. M. Heatherton T. F. Macrae C. N. (2007). Detecting agency from the biological motion of veridical vs animated agents. Soc. Cogn. Affect. Neurosci. 2 199– 205. 10.1093/scan/nsm011 18985141 PMC2569809 · DOI
  190. Martinez-Corral R. Liu J. Prindle A. Suel G. M. Garcia-Ojalvo J. (2019). Metabolic basis of brain-like electrical signalling in bacterial communities. Philos. Trans. R. Soc. Lond. B Biol. Sci. 374: 20180382. 10.1098/rstb.2018.0382 31006362 PMC6553584 · DOI
  191. Martinez-Corral R. Liu J. Suel G. M. Garcia-Ojalvo J. (2018). Bistable emergence of oscillations in growing Bacillus subtilis biofilms. Proc. Natl. Acad. Sci. U.S.A. 115 E8333– E8340. 10.1073/pnas.1805004115 30127028 PMC6130386 · DOI
  192. Maynard Smith J. (1999). Shaping Life: Genes, Embryos, and Evolution. New Haven, CT: Yale University Press, 50.
  193. Mayr E. (1992). The idea of teleology. J. Hist. Ideas 53 117– 135. 10.2307/2709913 · DOI
  194. McConnell J. V. Shelby J. M. (1970). “ Memory transfer experiments in invertebrates,” in Molecular Mechanisms in Memory and Learning, ed. Ungar G. (New York, NY: Plenum Press), 71– 101.
  195. McConnell J. V. Jacobson A. L. Kimble D. P. (1959). The effects of regeneration upon retention of a conditioned response in the planarian. J. Comp. Physiol. Psychol. 52 1– 5. 10.1037/h0048028 13641455 · DOI
  196. McEvoy J. W. (2009). Evolutionary game theory: lessons and limitations, a cancer perspective. Br. J. Cancer 101 2060– 1;author reply 2062–3. 10.1038/sj.bjc.6605444 19920827 PMC2795450 · DOI
  197. McEwen B. S. (1998). Stress, adaptation, and disease. allostasis and allostatic load. Ann. N.Y. Acad. Sci. 840 33– 44. 10.1111/j.1749-6632.1998.tb09546.x 9629234 · DOI · Paper page
  198. McLaughlin K. A. Levin M. (2018). Bioelectric signaling in regeneration: mechanisms of ionic controls of growth and form. Dev. Biol. 433 177– 189. 10.1016/j.ydbio.2017.08.032 29291972 PMC5753428 · DOI
  199. McNamara H. M. Salegame R. Tanoury Z. A. Xu H. Begum S. Ortiz G. (2020). Bioelectrical domain walls in homogeneous tissues. Nat. Phys. 16 357– 364. 10.1038/s41567-019-0765-4 33790984 PMC8008956 · DOI
  200. McNamara H. M. Salegame R. Tanoury Z. A. Xu H. Begum S. Ortiz G. (2019). Bioelectrical signaling via domain wall migration. bioRxiv [Preprint] 570440. 10.1101/570440 · DOI

200 of 339 shown

Authors
Levin, M.
Affiliations
Tufts University (US)
Corresponding author
Levin, Michael
Venue
Frontiers in Systems Neuroscience
Published
2022-03-24
Volume
16
Pages
768201-768201
ISSN
1662-5137 (ISSN-L)
OpenAlex
W4220997294
Cited by
195
References
374
Citations by year
2026: 47 · 2025: 47 · 2024: 41 · 2023: 46 · 2022: 14
FWCI
19.08
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Systems Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Paul G. Allen Frontiers Group (Allen Discovery Center Award 12171)
  • Templeton World Charity Foundation (WCF0089/AB55, TWCF0140)
  • John Templeton Foundation
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
Keywords
embodied cognition, synthetic biology, collective intelligence, animal sentience, morphogenesis, basal cognition, bioelectricity, gap junctions, ion channels, homeostasis, evolvability, philosophy of mind, regenerative medicine

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