References
Every paper and book this site cites, in one place. Papers are linked by DOI, and books and web essays by a stable page. We don't host papers. Where a free version exists, we link to it.
- Abramson, C. I., & Levin, M. (2021). Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering. Communicative & Integrative Biology, 14(1), 230-247. doi:10.1080/19420889.2021.2005863
Cited on: H1 H2 H4 H7 - Adler, J. (1975). Chemotaxis in bacteria. Annual Review of Biochemistry, 44, 341-356. doi:10.1146/annurev.bi.44.070175.002013
Cited on: C3 C4 - Alon, U., Surette, M. G., Barkai, N., & Leibler, S. (1999). Robustness in bacterial chemotaxis. Nature, 397, 168-171. doi:10.1038/16483
Cited on: C5 adaptation-loop - Arendt, D. (2020). The evolutionary assembly of neuronal machinery. Current Biology, 30(10), R603-R616. doi:10.1016/j.cub.2020.04.008
Cited on: F5 F6 - Arnellos, A., & Moreno, A. (2016). Integrating constitution and interaction in the transition from unicellular to multicellular organisms. In K. J. Niklas & S. A. Newman (Eds.), Multicellularity: Origins and evolution (pp. 249-275). MIT Press. link
Cited on: Manifesto - Balazsi, G., van Oudenaarden, A., & Collins, J. J. (2011). Cellular decision making and biological noise: From microbes to mammals. Cell, 144(6), 910-925. doi:10.1016/j.cell.2011.01.030
Cited on: D6 - Ball, P. (2026). Is Life Just Different?. Quanta Magazine, 8 July 2026. link · free full text
Cited on: Manifesto - Baluška, F., & Levin, M. (2016). On having no head: Cognition throughout biological systems. Frontiers in Psychology, 7, 902. doi:10.3389/fpsyg.2016.00902
Cited on: A1 - Baluška, F., & Reber, A. (2019). Sentience and consciousness in single cells: How the first minds emerged in unicellular species. BioEssays, 41, 1800229. doi:10.1002/bies.201800229
Cited on: F4 - Baluška, F. (2025). Cognitive cells: From cellular senomic spheres to Earth's biosphere. Biological Theory (online 26 February 2025). doi:10.1007/s13752-025-00489-5 · free full text
Cited on: Manifesto - Bechtel, W. (2014). Cognitive biology: Surprising model organisms for cognitive science. Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 158-163. link
Cited on: A2 - Beniaguev, D., Segev, I., & London, M. (2021). Single cortical neurons as deep artificial neural networks. Neuron, 109(17), 2727-2739.e3. doi:10.1016/j.neuron.2021.07.002
Cited on: Manifesto - Berg, H. C., & Brown, D. A. (1972). Chemotaxis in Escherichia coli analysed by three-dimensional tracking. Nature, 239, 500-504. doi:10.1038/239500a0
Cited on: C3 - Berg, H. C., & Purcell, E. M. (1977). Physics of chemoreception. Biophysical Journal, 20(2), 193-219. doi:10.1016/S0006-3495(77)85544-6
Cited on: B1 B2 C1 C3 C4 H3 - Berg, H. C. (2000). Motile behavior of bacteria. Physics Today, 53(1), 24-29. doi:10.1063/1.882934
Cited on: C2 C3 C4 chemotaxis-module - Berg, H. C. (2003). The rotary motor of bacterial flagella. Annual Review of Biochemistry, 72, 19-54. doi:10.1146/annurev.biochem.72.121801.161737
Cited on: C2 flagellar-motor - Bi, S., & Sourjik, V. (2018). Stimulus sensing and signal processing in bacterial chemotaxis. Current Opinion in Microbiology, 45, 22-29. doi:10.1016/j.mib.2018.02.002
Cited on: C5 signaling-pathway - Blount, Z. D., Lenski, R. E., & Losos, J. B. (2018). Contingency and determinism in evolution: Replaying life's tape. Science, 362(6415), eaam5979. doi:10.1126/science.aam5979
Cited on: G2 - Boisseau, R. P., Vogel, D., & Dussutour, A. (2016). Habituation in non-neural organisms: evidence from slime moulds. Proceedings of the Royal Society B, 283(1829), 20160446. doi:10.1098/rspb.2016.0446
Cited on: D3 - Bowsher, C. G., & Swain, P. S. (2014). Environmental sensing, information transfer, and cellular decision-making. Current Opinion in Biotechnology, 28, 149-155. doi:10.1016/j.copbio.2014.04.010
Cited on: G1 - Brancazio, N., Segundo-Ortin, M., & McGivern, P. (2020). Approaching minimal cognition: Introduction to the special issue. Adaptive Behavior, 28(6), 401-405. doi:10.1177/1059712319891620
Cited on: A1 - Brewer, P. G., Peltzer, E. T., & Lage, K. (2022). Life at low Reynolds number re-visited: The efficiency of microbial propulsion. Deep-Sea Research Part I, 185, 103790. doi:10.1016/j.dsr.2022.103790
Cited on: B1 - Bridges, A. A., Prentice, J. A., Wingreen, N. S., & Bassler, B. L. (2022). Signal transduction network principles underlying bacterial collective behaviors. Annual Review of Microbiology, 76, 235-257. doi:10.1146/annurev-micro-042922-122020
Cited on: E2 E3 - Brown, A. I., & Sivak, D. A. (2020). Theory of nonequilibrium free energy transduction by molecular machines. Chemical Reviews, 120(1), 434-459. doi:10.1021/acs.chemrev.9b00254
Cited on: B3 - Brunet, T., & Arendt, D. (2016). From damage response to action potentials: early evolution of neural and contractile modules in stem eukaryotes. Philosophical Transactions of the Royal Society B, 371, 20150043. doi:10.1098/rstb.2015.0043
Cited on: F5 F6 - Bunne, C., Roohani, Y., Rosen, Y., et al. (2024). How to build the virtual cell with artificial intelligence: Priorities and opportunities. Cell, 187(25), 7045-7063. doi:10.1016/j.cell.2024.11.015
Cited on: G3 G6 - Carrera, J., & Covert, M. W. (2015). Why build whole-cell models?. Trends in Cell Biology, 25(12), 719-722. doi:10.1016/j.tcb.2015.09.004
Cited on: G3 - Celani, A., & Vergassola, M. (2010). Bacterial strategies for chemotaxis response. Proceedings of the National Academy of Sciences, 107(4), 1391-1396. doi:10.1073/pnas.0909673107
Cited on: C7 - Clausznitzer, D., Micali, G., Neumann, S., Sourjik, V., & Endres, R. G. (2014). Predicting chemical environments of bacteria from receptor signaling. PLOS Computational Biology, 10(10), e1003870. doi:10.1371/journal.pcbi.1003870
Cited on: C6 G1 - Colgren, J., & Burkhardt, P. (2022). The premetazoan ancestry of the synaptic toolkit and appearance of first neurons. Essays in Biochemistry, 66, 781-795. doi:10.1042/EBC20220042
Cited on: F5 F6 - Dexter, J. P., Prabakaran, S., & Gunawardena, J. (2019). A complex hierarchy of avoidance behaviors in a single-cell eukaryote. Current Biology, 29, 4323-4329.e2. doi:10.1016/j.cub.2019.10.059
Cited on: H4 Manifesto - di Bernardo, M. (2026). Multicellular feedback control strategies in synthetic microbial consortia: From embedded to distributed control. arXiv preprint arXiv:2602.19666 [eess.SY]. link
Cited on: H7 - Diggle, S. P., Crusz, S. A., & Cámara, M. (2007). Quorum sensing. Current Biology, 17(21), R907-R910. doi:10.1016/j.cub.2007.08.045
Cited on: E1 E3 - Dinet, C., Michelot, A., Herrou, J., & Mignot, T. (2021). Linking single-cell decisions to collective behaviours in social bacteria. Philosophical Transactions of the Royal Society B, 376(1820), 20190755. doi:10.1098/rstb.2019.0755
Cited on: E3 - Di Paolo, E. A. (2005). Autopoiesis, adaptivity, teleology, agency. Phenomenology and the Cognitive Sciences, 4, 429-452. doi:10.1007/s11097-005-9002-y
Cited on: B4 B5 B6 F2 F3 H2 - Doan, N., Theroux, A., Ramdas, T., & Gershman, S. J. (2026). Associative learning in the protozoan Stentor coeruleus. bioRxiv preprint (not peer reviewed). doi:10.64898/2026.02.25.708045 · free full text
Cited on: D4 - Dussutour, A. (2021). Learning in single cell organisms. Biochemical and Biophysical Research Communications, advance online publication. doi:10.1016/j.bbrc.2021.02.018
Cited on: D3 - Eckert, L., Vidal-Saez, M. S., Zhao, Z., Garcia-Ojalvo, J., Martinez-Corral, R., & Gunawardena, J. (2024). Biochemically plausible models of habituation for single-cell learning. Current Biology, 34(24), 5646-5658. doi:10.1016/j.cub.2024.10.041
Cited on: D3 - Egbert, M. D., Barandiaran, X. E., & Di Paolo, E. A. (2010). A minimal model of metabolism-based chemotaxis. PLOS Computational Biology, 6(12), e1001004. doi:10.1371/journal.pcbi.1001004
Cited on: B4 B5 B6 H5 - Endres, R. G. (2026). Bacteria may not be good at chemotaxis. Nature Physics, 22(1), 8-9. doi:10.1038/s41567-025-03103-4
Cited on: C4 - Falke, J. J., Bass, R. B., Butler, S. L., Chervitz, S. A., & Danielson, M. A. (1997). The two-component signaling pathway of bacterial chemotaxis: a molecular view of signal transduction by receptors, kinases, and adaptation enzymes. Annual Review of Cell and Developmental Biology, 13, 457-512. doi:10.1146/annurev.cellbio.13.1.457
Cited on: chemotaxis-module signaling-pathway - Fernando, C. T., Liekens, A. M. L., Bingle, L. E. H., Beck, C., Lenser, T., Stekel, D. J., & Rowe, J. E. (2009). Molecular circuits for associative learning in single-celled organisms. Journal of the Royal Society Interface, 6, 463-469. doi:10.1098/rsif.2008.0344
Cited on: D4 D5 G4 - Fitch, W. T. (2021). Information and the single cell. Current Opinion in Neurobiology, 71, 150-157. doi:10.1016/j.conb.2021.10.004
Cited on: F3 - Ford, B. J. (2009). On intelligence in cells: The case for whole cell biology. Interdisciplinary Science Reviews, 34(4), 350-365. doi:10.1179/030801809X12529269201282
Cited on: A2 - Fulda, F. C. (2017). Natural agency: The case of bacterial cognition. Journal of the American Philosophical Association, 1-22. doi:10.1017/apa.2017.5
Cited on: F1 F2 - Gershman, S. J., Balbi, P. E. M., Gallistel, C. R., & Gunawardena, J. (2021). Reconsidering the evidence for learning in single cells. eLife, 10, e61907. doi:10.7554/eLife.61907 · free full text
Cited on: A4 D4 G5 - Gershman, S. J. (2024). Habituation as optimal filtering. iScience, 27, 110523. doi:10.1016/j.isci.2024.110523
Cited on: D3 - Gidon, A., Zolnik, T. A., Fidzinski, P., Bolduan, F., Papoutsi, A., Poirazi, P., Holtkamp, M., Vida, I., & Larkum, M. E. (2020). Dendritic action potentials and computation in human layer 2/3 cortical neurons. Science, 367(6473), 83-87. doi:10.1126/science.aax6239
Cited on: Manifesto - Godfrey-Smith, P. (2016). Individuality, subjectivity, and minimal cognition. Biology & Philosophy, 31(6), 775-796. doi:10.1007/s10539-016-9543-1
Cited on: A3 F4 - Goldberg, A. P., Szigeti, B., Chew, Y. H., Sekar, J. A. P., Roth, Y. D., & Karr, J. R. (2018). Emerging whole-cell modeling principles and methods. Current Opinion in Biotechnology, 51, 97-102. doi:10.1016/j.copbio.2017.12.013
Cited on: G3 G6 - Guo, S., & Liu, J. (2022). The bacterial flagellar motor: insights into torque generation, rotational switching, and mechanosensing. Frontiers in Microbiology, 13, 911114. doi:10.3389/fmicb.2022.911114
Cited on: C2 flagellar-motor - Hazelbauer, G. L., Falke, J. J., & Parkinson, J. S. (2008). Bacterial chemoreceptors: high-performance signaling in networked arrays. Trends in Biochemical Sciences, 33(1), 9-19. doi:10.1016/j.tibs.2007.09.014
Cited on: C1 chemotaxis-module receptor-cluster - Jabbur, M. L., Bratton, B. P., & Johnson, C. H. (2024). Bacteria can anticipate the seasons: Photoperiodism in cyanobacteria. Science, 385(6713), 1105-1111. doi:10.1126/science.ado8588
Cited on: D5 - Jékely, G. (2021). The chemical brain hypothesis for the origin of nervous systems. Philosophical Transactions of the Royal Society B, 376(1821), 20190761. doi:10.1098/rstb.2019.0761
Cited on: F6 - Jennings, H. S. (1906). Behavior of the lower organisms. Columbia University Press; The Macmillan Company (agents), New York. link · free full text
Cited on: Manifesto - Keegstra, J. M., Kamino, K., Anquez, F., Lazova, M. D., Emonet, T., & Shimizu, T. S. (2017). Phenotypic diversity and temporal variability in a bacterial signaling network revealed by single-cell FRET. eLife, 6, e27455. doi:10.7554/eLife.27455 · free full text
Cited on: C5 adaptation-loop - Keijzer, F. (2021). Demarcating cognition: the cognitive life sciences. Synthese, 198(Suppl 1), S137-S157. doi:10.1007/s11229-020-02797-8 · free full text
Cited on: A3 F1 - King, S. H., Driscoll, C. L., Li, D. B., Guo, D., Merchant, A. T., Brixi, G., Wilkinson, M. E., & Hie, B. L. (2026). Generative design of bacteriophages with genome language models. Science, 393, eaec2657. doi:10.1126/science.aec2657
Cited on: H7 - Kiørboe, T. (2016). Fluid dynamic constraints on resource acquisition in small pelagic organisms. European Physical Journal Special Topics, 225, 669-683. doi:10.1140/epjst/e2015-50261-1
Cited on: B1 - Kussell, E., & Leibler, S. (2005). Phenotypic diversity, population growth, and information in fluctuating environments. Science, 309(5743), 2075-2078. doi:10.1126/science.1114383
Cited on: G1 G2 - Lan, G., Sartori, P., Neumann, S., Sourjik, V., & Tu, Y. (2012). The energy-speed-accuracy trade-off in sensory adaptation. Nature Physics, 8(5), 422-428. doi:10.1038/nphys2276
Cited on: B3 - Lan, G., & Tu, Y. (2016). Information processing in bacteria: memory, computation, and statistical physics. Reports on Progress in Physics, 79, 052601. doi:10.1088/0034-4885/79/5/052601
Cited on: B3 C5 D1 D2 F3 - Levin, M. (2019). The computational boundary of a "self": Developmental bioelectricity drives multicellularity and scale-free cognition. Frontiers in Psychology, 10, 2688. doi:10.3389/fpsyg.2019.02688
Cited on: Manifesto - Levin, M., & Dennett, D. C. (2020). Cognition all the way down. Aeon (Essays), 13 October 2020. link · free full text
Cited on: Manifesto - Levy, R., & Borenstein, E. (2012). Reverse ecology: From systems to environments and back. In Evolutionary systems biology (Advances in Experimental Medicine and Biology), pp. 329-345. Springer. doi:10.1007/978-1-4614-3567-9_15
Cited on: Manifesto - Lisevich, I., Colin, R., Yang, H. Y., Ni, B., & Sourjik, V. (2025). Physics of swimming and its fitness cost determine strategies of bacterial investment in flagellar motility. Nature Communications, 16, 1731. doi:10.1038/s41467-025-56980-x
Cited on: C2 - Lyon, P. (2015). The cognitive cell: Bacterial behavior reconsidered. Frontiers in Microbiology, 6, 264. doi:10.3389/fmicb.2015.00264
Cited on: F1 Manifesto - Lyon, P. (2020). Of what is 'minimal cognition' the half-baked version?. Adaptive Behavior, 28(6), 407-424. doi:10.1177/1059712319871360
Cited on: A1 - Lyon, P., & Cheng, K. (2023). Basal cognition: Shifting the center of gravity (again). Animal Cognition, 26, 1743-1750. doi:10.1007/s10071-023-01832-8
Cited on: Manifesto - Macia, J., Vidiella, B., & Sole, R. V. (2017). Synthetic associative learning in engineered multicellular consortia. Journal of the Royal Society Interface, 14(129), 20170158. doi:10.1098/rsif.2017.0158
Cited on: G4 H1 H7 - Macnab, R. M., & Koshland, D. E., Jr. (1972). The gradient-sensing mechanism in bacterial chemotaxis. Proceedings of the National Academy of Sciences, 69(9), 2509-2512. doi:10.1073/pnas.69.9.2509
Cited on: C4 - Marr, D. (2010). Vision: A computational investigation into the human representation and processing of visual information. MIT Press (reissue; original 1982). link
Cited on: Manifesto - Mattingly, H. H., Kamino, K., Machta, B. B., & Emonet, T. (2021). Escherichia coli chemotaxis is information limited. Nature Physics, 17, 1426-1431. doi:10.1038/s41567-021-01380-3
Cited on: C3 C4 chemotaxis-module - Mattingly, H. H., Kamino, K., Ong, J., Kottou, R., Emonet, T., & Machta, B. B. (2026). E. coli chemosensing accuracy is not limited by stochastic molecule arrivals. Nature Physics, 22(1), 123-130. doi:10.1038/s41567-025-03111-4
Cited on: B2 C1 C4 G5 H2 H3 - Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and cognition: The realization of the living. D. Reidel, Dordrecht (Springer). link
Cited on: Manifesto - McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5(4), 115-133. doi:10.1007/BF02478259
Cited on: Manifesto - Messer, A., Oña, L., & Kost, C. (2026). Cognition without brains? Learning and memory in microorganisms. Trends in Microbiology, 34(8), 864-876. doi:10.1016/j.tim.2026.03.015
Cited on: Manifesto - Meyer-Vernet, N., & Rospars, J.-P. (2015). How fast do living organisms move: Maximum speeds from bacteria to elephants and whales. American Journal of Physics, 83(9), 719-722. doi:10.1119/1.4917310
Cited on: B1 - Micali, G., & Endres, R. G. (2016). Bacterial chemotaxis: information processing, thermodynamics, and behavior. Current Opinion in Microbiology, 30, 8-15. doi:10.1016/j.mib.2015.12.001
Cited on: C6 H5 chemotaxis-module flagellar-motor signaling-pathway - Miller, M. B., & Bassler, B. L. (2001). Quorum sensing in bacteria. Annual Review of Microbiology, 55, 165-199. doi:10.1146/annurev.micro.55.1.165
Cited on: E2 - Mitchell, A., Romano, G. H., Groisman, B., Yona, A., Dekel, E., Kupiec, M., Dahan, O., & Pilpel, Y. (2009). Adaptive prediction of environmental changes by microorganisms. Nature, 460(7252), 220-224. doi:10.1038/nature08112
Cited on: D5 - Miyaue, S., Suzuki, E., Komiyama, Y., Kondo, Y., Morikawa, M., & Maeda, S. (2018). Bacterial memory of persisters: bacterial persister cells can retain their phenotype for days or weeks after withdrawal from colony-biofilm culture. Frontiers in Microbiology, 9, 1396. doi:10.3389/fmicb.2018.01396
Cited on: D2 - Moroz, L. L., Romanova, D. Y., & Kohn, A. B. (2021). Neural versus alternative integrative systems: molecular insights into origins of neurotransmitters. Philosophical Transactions of the Royal Society B, 376(1821), 20190762. doi:10.1098/rstb.2019.0762
Cited on: F6 - Mukherjee, S., & Bassler, B. L. (2019). Bacterial quorum sensing in complex and dynamically changing environments. Nature Reviews Microbiology, 17(6), 371-382. doi:10.1038/s41579-019-0186-5
Cited on: E2 E3 - Muok, A. R., Olsthoorn, F. A., & Briegel, A. (2024). Unpacking alternative features of the bacterial chemotaxis system. Annual Review of Microbiology, 78, 169-189. doi:10.1146/annurev-micro-032421-110850
Cited on: C1 H1 H2 H5 - Nakagaki, T., Yamada, H., & Tóth, Á. (2000). Maze-solving by an amoeboid organism. Nature, 407, 470. doi:10.1038/35035159
Cited on: Manifesto - Noble, D. (2010). Biophysics and systems biology. Philosophical Transactions of the Royal Society A, 368, 1125-1139. doi:10.1098/rsta.2009.0245
Cited on: B4 - Noble, D. (2011). The aims of systems biology: Between molecules and organisms. Pharmacopsychiatry, 44(Suppl 1), S9-S14. doi:10.1055/s-0031-1271703
Cited on: A2 - Picard, M., & McEwen, B. S. (2018). Psychological stress and mitochondria: A conceptual framework. Psychosomatic Medicine, 80(2), 126-140. doi:10.1097/PSY.0000000000000544
Cited on: Manifesto - Picard, M., & Shirihai, O. S. (2022). Mitochondrial signal transduction. Cell Metabolism, 34(11), 1620-1653. doi:10.1016/j.cmet.2022.10.008
Cited on: Manifesto - Pittenger, J. B., & Dent, C. H. (1988). A mechanism for the direct perception of change: The example of bacterial chemotaxis. Perception, 17(2), 119-133. doi:10.1068/p170119
Cited on: B6 - Pleska, M., Jordan, D., Frentz, Z., Xue, B., & Leibler, S. (2021). Nongenetic individuality, changeability, and inheritance in bacterial behavior. Proceedings of the National Academy of Sciences, 118(13), e2023322118. doi:10.1073/pnas.2023322118
Cited on: D6 - Popper, K. (1999). All life is problem solving. Routledge (trans. P. Camiller). link
Cited on: Manifesto - Purcell, E. M. (1977). Life at low Reynolds number. American Journal of Physics, 45(1), 3-11. doi:10.1119/1.10903
Cited on: B1 B3 - Quian Quiroga, R., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005). Invariant visual representation by single neurons in the human brain. Nature, 435(7045), 1102-1107. doi:10.1038/nature03687
Cited on: Manifesto - Ramanathan, S., & Broach, J. R. (2007). Do cells think?. Cellular and Molecular Life Sciences, 64(14), 1801-1804. doi:10.1007/s00018-007-7001-6
Cited on: Manifesto - Ramón y Cajal, S. (1906). The structure and connexions of neurons [Nobel Lecture, 12 December 1906]. NobelPrize.org. link · free full text
Cited on: Manifesto - Rhee, A., Cheong, R., & Levchenko, A. (2012). The application of information theory to biochemical signaling systems. Physical Biology, 9(4), 045011. doi:10.1088/1478-3975/9/4/045011
Cited on: C6 - Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386-408. doi:10.1037/h0042519
Cited on: Manifesto - Ros-Rocher, N., & Brunet, T. (2023). What is it like to be a choanoflagellate? Sensation, processing and behavior in the closest unicellular relatives of animals. Animal Cognition, 26, 1767-1782. doi:10.1007/s10071-023-01776-z
Cited on: H6 - Santiveri, M., Roa-Eguiara, A., Kuhne, C., Wadhwa, N., Hu, H., Berg, H. C., Erhardt, M., & Taylor, N. M. I. (2020). Structure and function of stator units of the bacterial flagellar motor. Cell, 183(1), 244-257. doi:10.1016/j.cell.2020.08.016
Cited on: C2 flagellar-motor - Scanlon, K., Shanahan, F., Ross, R. P., & Hill, C. (2025). Exploring the concept of bacterial memory. Nature Microbiology, 10(12), 3049-3058. doi:10.1038/s41564-025-02185-3
Cited on: D1 D2 - Schauder, S., & Bassler, B. L. (2001). The languages of bacteria. Genes & Development, 15(12), 1468-1480. doi:10.1101/gad.899601
Cited on: E1 - Schavemaker, P. E., & Lynch, M. (2022). Flagellar energy costs across the tree of life. eLife, 11, e77266. doi:10.7554/eLife.77266 · free full text
Cited on: B3 - Simons, A. M. (2011). Modes of response to environmental change and the elusive empirical evidence for bet hedging. Proceedings of the Royal Society B, 278(1712), 1601-1609. doi:10.1098/rspb.2011.0176
Cited on: A4 - Sourjik, V., & Berg, H. C. (2002). Receptor sensitivity in bacterial chemotaxis. Proceedings of the National Academy of Sciences, 99, 123-127. doi:10.1073/pnas.011589998
Cited on: C1 receptor-cluster - Sourjik, V., & Berg, H. C. (2002). Binding of the Escherichia coli response regulator CheY to its target measured in vivo by fluorescence resonance energy transfer. Proceedings of the National Academy of Sciences, 99, 12669-12674. doi:10.1073/pnas.192463199
Cited on: signaling-pathway - Sourjik, V., & Wingreen, N. S. (2012). Responding to chemical gradients: bacterial chemotaxis. Current Opinion in Cell Biology, 24, 262-268. doi:10.1016/j.ceb.2011.11.008
Cited on: C1 C3 C4 C5 chemotaxis-module signaling-pathway - Stuart, G. J., & Spruston, N. (2015). Dendritic integration: 60 years of progress. Nature Neuroscience, 18(12), 1713-1721. doi:10.1038/nn.4157
Cited on: Manifesto - Tagkopoulos, I., Liu, Y.-C., & Tavazoie, S. (2008). Predictive behavior within microbial genetic networks. Science, 320(5881), 1313-1317. doi:10.1126/science.1154456
Cited on: D5 - Taylor, J. R., & Stocker, R. (2012). Trade-offs of chemotactic foraging in turbulent water. Science, 338(6107), 675-679. doi:10.1126/science.1219417
Cited on: C7 - ten Wolde, P. R., Becker, N. B., Ouldridge, T. E., & Mugler, A. (2016). Fundamental limits to cellular sensing. Journal of Statistical Physics, 162, 1395-1424. doi:10.1007/s10955-015-1440-5
Cited on: B2 B3 H3 - Thompson, E. (2010). Mind in life: Biology, phenomenology, and the sciences of mind. Harvard University Press (Belknap Press). link
Cited on: Manifesto - Thompson, E. (2022). Could all life be sentient?. Journal of Consciousness Studies, 29(3-4), 229-265. doi:10.53765/20512201.29.3.229
Cited on: F4 - Thornburg, Z. R., Maytin, A., Kwon, J., et al. (2026). Bringing the genetically minimal cell to life on a computer in 4D. Cell, 189(9), 2582-2597. doi:10.1016/j.cell.2026.02.009
Cited on: G6 - Turing, A. M. (1937). On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, s2-42(1), 230-265. doi:10.1112/plms/s2-42.1.230
Cited on: Manifesto - von Uexküll, J. (2010). A foray into the worlds of animals and humans: With a theory of meaning. University of Minnesota Press (Posthumanities series; trans. J. D. O'Neil). link
Cited on: Manifesto - van Duijn, M., Keijzer, F., & Franken, D. (2006). Principles of minimal cognition: Casting cognition as sensorimotor coordination. Adaptive Behavior, 14(2), 157-170. doi:10.1177/105971230601400207
Cited on: F1 F2 F3 - Wadhams, G. H., & Armitage, J. P. (2004). Making sense of it all: bacterial chemotaxis. Nature Reviews Molecular Cell Biology, 5, 1024-1037. doi:10.1038/nrm1524
Cited on: signaling-pathway - Walmsley, L. D. (2020). Lessons from a virtual slime: Marginal mechanisms, minimal cognition and radical enactivism. Adaptive Behavior, 28(6), 453-464. doi:10.1177/1059712318824544
Cited on: F3 - Wan, K. Y., & Jékely, G. (2021). Origins of eukaryotic excitability. Philosophical Transactions of the Royal Society B, 376(1820), 20190758. doi:10.1098/rstb.2019.0758
Cited on: F6 - Williams, P., Winzer, K., Chan, W. C., & Cámara, M. (2007). Look who's talking: communication and quorum sensing in the bacterial world. Philosophical Transactions of the Royal Society B, 362(1483), 1119-1134. doi:10.1098/rstb.2007.2039
Cited on: E1 - Wolf, D. M., Fontaine-Bodin, L., Bischofs, I., Price, G., Keasling, J., & Arkin, A. P. (2008). Memory in microbes: quantifying history-dependent behavior in a bacterium. PLoS ONE, 3(2), e1700. doi:10.1371/journal.pone.0001700
Cited on: D1 D2 - Yi, T.-M., Huang, Y., Simon, M. I., & Doyle, J. (2000). Robust perfect adaptation in bacterial chemotaxis through integral feedback control. PNAS, 97, 4649-4653. doi:10.1073/pnas.97.9.4649
Cited on: C5 adaptation-loop - Yuan, J., & Berg, H. C. (2013). Ultrasensitivity of an adaptive bacterial motor. Journal of Molecular Biology, 425(11), 1760-1764. doi:10.1016/j.jmb.2013.02.016
Cited on: flagellar-motor - Zhu, L., Kim, S.-J., Hara, M., & Aono, M. (2018). Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism. Royal Society Open Science, 5(12), 180396. doi:10.1098/rsos.180396
Cited on: Manifesto
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