Slime mould: the fundamental mechanisms of cognition

The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as an active living substrate yet the slime mould is a self-consistent living creature which evolved for millions of years and occupied most part of the world, but in any case, that living entity did not own true cognition, just automated biochemical mechanisms. To "rehabilitate" the slime mould from the rank of a purely living electronics element to a "creature of thoughts" we are analyzing the cognitive potential of P. polycephalum. We base our theory of minimal cognition of the slime mould on a bottom-up approach, from the biological and biophysical nature of the slime mould and its regulatory systems using frameworks suh as Lyon's biogenic cognition, Muller, di Primio-Lengeler\'s modifiable pathways, Bateson's "patterns that connect" framework, Maturana's autopoetic network, or proto-consciousness and Morgan's Canon.

[1]  Vladimir A. Uspensky,et al.  Kolmogorov and mathematical logic , 1992, Journal of Symbolic Logic.

[2]  R. Wayne The excitability of plant cells: With a special emphasis on characean internodal cells , 1994, The Botanical Review.

[3]  P. Iglesias,et al.  Evolutionarily Conserved Coupling of Adaptive and Excitable Networks Mediates Eukaryotic Chemotaxis , 2014, Nature Communications.

[4]  Andrew Adamatzky,et al.  Physarum Machine: Implementation of a Kolmogorov-Uspensky Machine on a Biological substrate , 2007, Parallel Process. Lett..

[5]  Michel Cabanac,et al.  The emergence of consciousness in phylogeny , 2009, Behavioural Brain Research.

[6]  D. Long I of the Vortex: From Neurons to Self , 2002 .

[7]  F. Baluška,et al.  Anaesthetics stop diverse plant organ movements, affect endocytic vesicle recycling and ROS homeostasis, and block action potentials in Venus flytraps , 2017, Annals of botany.

[8]  A. P. Serro,et al.  Anesthetics interacting with lipid rafts. , 2013, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[9]  D. Ingber Tensegrity: the architectural basis of cellular mechanotransduction. , 1997, Annual review of physiology.

[10]  F. Baluška,et al.  Plant anesthesia supports similarities between animals and plants , 2014, Plant signaling & behavior.

[11]  A Adamatzky,et al.  Routing Physarum with repellents , 2010, The European physical journal. E, Soft matter.

[12]  Bruce R. Johnson,et al.  Action Potentials in a Giant Algal Cell: A Comparative Approach to Mechanisms and Evolution of Excitability , 2002, Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience.

[13]  L. Rakoczy,et al.  Application of crossed light and humidity gradients for the investigation of slime-molds , 2015 .

[14]  P. Lyon The cognitive cell: bacterial behavior reconsidered , 2015, Front. Microbiol..

[15]  Y. Nishiura,et al.  Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[16]  D. Griffin,et al.  New evidence of animal consciousness , 2003, Animal Cognition.

[17]  K. Wohlfarth-Bottermann Oscillatory contraction activity in Physarum. , 1979, The Journal of experimental biology.

[18]  M. Perouansky The Quest for a Unified Model of Anesthetic Action: A Century in Claude Bernard's Shadow , 2012, Anesthesiology.

[19]  Robert G Parton,et al.  Flotillins and the PHB Domain Protein Family: Rafts, Worms and Anaesthetics , 2005, Traffic.

[20]  H. Zakon,et al.  Evolution of voltage-gated ion channels at the emergence of Metazoa , 2015, Journal of Experimental Biology.

[21]  G. Mashour,et al.  Evolution of consciousness: Phylogeny, ontogeny, and emergence from general anesthesia , 2013, Proceedings of the National Academy of Sciences.

[22]  M. Duijn The biocognitive spectrum : biological cognition as variations on sensorimotor coordination , 2012 .

[23]  M. Brenner,et al.  Mechanism of signal propagation in Physarum polycephalum , 2017, Proceedings of the National Academy of Sciences.

[24]  Hector Zenil,et al.  Algorithmic complexity for psychology: a user-friendly implementation of the coding theorem method , 2016, Behavior research methods.

[25]  E. Ben-Jacob Bacterial wisdom, Gödel's theorem and creative genomic webs , 1998 .

[26]  W. Seifriz A THEORY OF ANESTHESIA BASED ON PROTOPLASMIC BEHAVIOR* , 1941 .

[27]  A. Koseska,et al.  Cell signaling as a cognitive process , 2017, The EMBO journal.

[28]  Alvaro Moreno,et al.  The role of regulation in the origin and synthetic modelling of minimal cognition , 2016, Biosyst..

[29]  A. Grębecki,et al.  Plasmodium of Physarum polycephalum as a synchronous contractile system. , 1978, Cytobiologie.

[30]  Audrey Dussutour,et al.  Direct transfer of learned behaviour via cell fusion in non-neural organisms , 2016, Proceedings of the Royal Society B: Biological Sciences.

[31]  S. Ogihara,et al.  Microtubules are required in amoeba chemotaxis for preferential stabilization of appropriate pseudopods. , 1994, Journal of cell science.

[32]  E. B. Ridgway,et al.  Oscillations of calcium ion concentrations in Physarum polycephalum , 1976, The Journal of cell biology.

[33]  S. Garnier,et al.  Decision-making without a brain: how an amoeboid organism solves the two-armed bandit , 2016, Journal of The Royal Society Interface.

[34]  A. Adamatzky If BZ medium did spanning trees these would be the same trees as Physarum built , 2009 .

[35]  H. Tsuchiya,et al.  Do local anesthetics interact preferentially with membrane lipid rafts? Comparative interactivities with raft-like membranes , 2010, Journal of Anesthesia.

[36]  H. Cantiello,et al.  Ionic wave propagation along actin filaments. , 2004, Biophysical journal.

[37]  Toshiyuki Nakagaki,et al.  Structure and formation of ant transportation networks , 2011, Journal of The Royal Society Interface.

[38]  T. Nakagaki,et al.  Intelligence: Maze-solving by an amoeboid organism , 2000, Nature.

[39]  U. Kishimoto,et al.  RHYTHMICITY IN THE PROTOPLASMIC STREAMING OF A SLIME MOLD, PHYSARUM POLYCEPHALUM , 1958, The Journal of general physiology.

[40]  J. Gardiner Subcellular neuronal quasicrystals: Implications for consciousness , 2015, Communicative & integrative biology.

[41]  Andrei N. Kolmogorov,et al.  Logical basis for information theory and probability theory , 1968, IEEE Trans. Inf. Theory.

[42]  Ana Maria Tomé,et al.  Physarum Learner: A bio-inspired way of learning structure from data , 2014, Expert Syst. Appl..

[43]  G. Terzis,et al.  Information and Living Systems: Philosophical and Scientific Perspectives , 2011 .

[44]  G. Tononi,et al.  A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior , 2013, Science Translational Medicine.

[45]  Jeff Jones,et al.  On creativity of slime mould , 2013, Int. J. Gen. Syst..

[46]  Hanif D. Sherali,et al.  The Concept of an Algorithm , 2005 .

[47]  M. Brenner,et al.  Random network peristalsis in Physarum polycephalum organizes fluid flows across an individual , 2013, Proceedings of the National Academy of Sciences.

[48]  Marcia L. Spetch,et al.  Comparative cognition of object recognition. , 2006 .

[49]  D. Hillis,et al.  Evolution of sodium channels predates the origin of nervous systems in animals , 2011, Proceedings of the National Academy of Sciences.

[50]  J. A. Jump STUDIES ON SCLEROTIZATION IN PHYSARUM POLYCEPHALUM , 1954 .

[51]  Nicolas Gauvrit,et al.  Mathematical transcription of the ‘time‐based resource sharing’ theory of working memory , 2016, The British journal of mathematical and statistical psychology.

[52]  D. Smith,et al.  Model of the Ca2+ oscillator for shuttle streaming in Physarum polycephalum. , 1992, Biophysical journal.

[53]  K. Gull,et al.  A comparison of tubulins from mammalian brain and Physarumpolycephalum using SDS—polyacrylamide gel electrophoresis and peptide mapping , 1980, FEBS letters.

[54]  V. Fodale,et al.  Effects of anesthetics on mitochondrial signaling and function. , 2012, Current drug safety.

[55]  Atsuko Takamatsu,et al.  Environment-dependent morphology in plasmodium of true slime mold Physarum polycephalum and a network growth model. , 2009, Journal of theoretical biology.

[56]  M. Carlile,et al.  The chemotactic response of plasmodia of the myxomycete Physarum polycephalum to sugars and related compounds. , 1978, Journal of general microbiology.

[57]  Universitàt,et al.  PRINCIPLES OF MINIMAL COGNITION IN SMART SLIME MOLDS AND SOCIAL BACTERIA , 2012 .

[58]  A. Dussutour,et al.  Amoeboid organism solves complex nutritional challenges , 2010, Proceedings of the National Academy of Sciences.

[59]  George Kampis,et al.  Life itself. A comprehensive inquiry into the nature, origin, and fabrication of life: By Robert Rosen. (Complexity in Ecological Systems series), T.F.H. Allen and D.W. Roberts (Eds.), Columbia University Press, New York, Vol. 1, 285 pp., US$45.00 , 1995 .

[60]  Hector Zenil,et al.  Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, modularity, diversity explosions, and mass extinction , 2017, ArXiv.

[61]  Fred Keijzer,et al.  What nervous systems do: early evolution, input–output, and the skin brain thesis , 2013, Adapt. Behav..

[62]  J. Bonner,et al.  Evidence for the formation of cell aggregates by chemotaxis in the development of the slime mold Dictyostelium discoideum. , 1947, The Journal of experimental zoology.

[63]  T. Deacon,et al.  Theses on Biosemiotics: Prolegomena to a Theoretical Biology , 2009 .

[64]  L. Segel,et al.  Model for chemotaxis. , 1971, Journal of theoretical biology.

[65]  M. Beekman,et al.  Irrational decision-making in an amoeboid organism: transitivity and context-dependent preferences , 2011, Proceedings of the Royal Society B: Biological Sciences.

[66]  K. Kohama,et al.  Calcium regulation of the actin-myosin interaction of Physarum polycephalum. , 1999, International review of cytology.

[67]  M. Beekman,et al.  Speed–accuracy trade-offs during foraging decisions in the acellular slime mould Physarum polycephalum , 2011, Proceedings of the Royal Society B: Biological Sciences.

[68]  António Sérgio Damásio,et al.  From membrane excitability to metazoan psychology , 2014, Trends in Neurosciences.

[69]  Toshiyuki Nakagaki,et al.  Indecisive behavior of amoeba crossing an environmental barrier , 2007 .

[70]  Oscar Garcia Principios de la cognición mínima de los mixomicetos y las bacterias sociales , 2011 .

[71]  T. Kuroiwa,et al.  Microtubule-dependent migration of the cell nucleus toward a future leading edge in amoebae ofPhysarum polycephalum , 2000, Protoplasma.

[72]  Jordi Vallverdú Bayesians Versus Frequentists: A Philosophical Debate on Statistical Reasoning , 2015 .

[73]  D. Ingber,et al.  Tensegrity, cellular biophysics, and the mechanics of living systems , 2014, Reports on progress in physics. Physical Society.

[74]  Hector Zenil,et al.  Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results , 2015, Frontiers in Computational Neuroscience.

[75]  Andrew Adamatzky,et al.  Toward Hybrid Nanostructure-Slime Mould Devices , 2015 .

[76]  Takashi Ikegami,et al.  Chemical Basis for Minimal Cognition , 2010, Artificial Life.

[77]  Gánti’s Chemoton Model and Life Criteria , 2008 .

[78]  Xabier E. Barandiaran,et al.  On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program , 2006, Adapt. Behav..

[79]  Christina Oettmeier,et al.  Physarum polycephalum percolation as a paradigm for topological phase transitions in transportation networks. , 2012, Physical review letters.

[80]  V. A. Teplov,et al.  A continuum model of contraction waves and protoplasm streaming in strands of Physarum plasmodium. , 1991, Bio Systems.

[81]  K Kurihara,et al.  Chemotaxis in Physarum polycephalum. Effects of chemicals on isometric tension of the plasmodial strand in relation to chemotactic movement. , 1976, Experimental cell research.

[82]  L. Kováč Fundamental principles of cognitive biology , 2012 .

[83]  H. Levine,et al.  Bacterial linguistic communication and social intelligence. , 2004, Trends in microbiology.

[84]  T. Malim,et al.  Introduction Comparative psychology , 1998 .

[85]  Hector Zenil,et al.  Low Algorithmic Complexity Entropy-deceiving Graphs , 2016, Physical review. E.

[86]  A. Dussutour,et al.  Slime mold uses an externalized spatial “memory” to navigate in complex environments , 2012, Proceedings of the National Academy of Sciences.

[87]  W. Catterall,et al.  Deciphering voltage-gated Na(+) and Ca(2+) channels by studying prokaryotic ancestors. , 2015, Trends in biochemical sciences.

[88]  Michael Levin,et al.  On Having No Head: Cognition throughout Biological Systems , 2016, Front. Psychol..

[89]  D. Arendt,et al.  From damage response to action potentials: early evolution of neural and contractile modules in stem eukaryotes , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

[90]  Pablo A Iglesias,et al.  Biased excitable networks: how cells direct motion in response to gradients. , 2012, Current opinion in cell biology.

[91]  S. Atran In Gods We Trust: The Evolutionary Landscape of Religion , 2002 .

[92]  I. Giaever,et al.  Patterns of oscillation during mitosis in plasmodia ofPhysarum polycephalum , 1995, Protoplasma.

[93]  R. Eckenhoff Why can all of biology be anesthetized? , 2008, Anesthesia and analgesia.

[94]  Yuri Gurevich,et al.  On Kolmogorov Machines and Related Issues , 2017, Current Trends in Theoretical Computer Science.

[95]  R. Rosen Life Itself: A Comprehensive Inquiry Into the Nature, Origin, and Fabrication of Life , 1991 .

[96]  A. Dussutour,et al.  Amoeboid organism uses extracellular secretions to make smart foraging decisions , 2013 .

[97]  Hector Zenil,et al.  The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition , 2015, ArXiv.

[98]  L. Segel,et al.  Initiation of slime mold aggregation viewed as an instability. , 1970, Journal of theoretical biology.

[99]  Max Talanov,et al.  Naturalizing Consciousness Emergence for AI Implementation Purposes: A Guide to Multilayered Management Systems , 2017 .

[100]  P. Dell UNDERSTANDING BATESON AND MATURANA: TOWARD A BIOLOGICAL FOUNDATION FOR THE SOCIAL SCIENCES* , 1985 .

[101]  S. Stephenson,et al.  Myxomycetes: A Handbook of Slime Molds , 1994 .

[102]  Jack Tuszynski,et al.  Conduction pathways in microtubules, biological quantum computation, and consciousness. , 2002, Bio Systems.

[103]  F. Baluška,et al.  Deep evolutionary origins of neurobiology: Turning the essence of 'neural' upside-down , 2009, Communicative & integrative biology.

[104]  Jeff Jones,et al.  On coupled oscillator dynamics and incident behaviour patterns in slime mould Physarum polycephalum: emergence of wave packets, global streaming clock frequencies and anticipation of periodic stimuli , 2017, Int. J. Parallel Emergent Distributed Syst..

[105]  R. Bourret,et al.  Two-component signal transduction. , 2010, Current opinion in microbiology.

[106]  Michael R Dietrich,et al.  Explaining the "Pulse of Protoplasm": the search for molecular mechanisms of protoplasmic streaming. , 2015, Journal of integrative plant biology.

[107]  Hector Zenil,et al.  Natural scene statistics mediate the perception of image complexity , 2014, ArXiv.

[108]  J. Gardiner Insights into plant consciousness from neuroscience, physics and mathematics: A role for quasicrystals? , 2012, Plant signaling & behavior.

[109]  Philippe Moser,et al.  Understanding Consciousness as Data Compression , 2016 .

[110]  Francisco Calvo Garzón,et al.  The quest for cognition in plant neurobiology. , 2007, Plant signaling & behavior.

[111]  Gürol M. Süel,et al.  Ion channels enable electrical communication in bacterial communities , 2015, Nature.

[112]  H. Maturana,et al.  Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .

[113]  J. Shapiro Bacteria are small but not stupid: cognition, natural genetic engineering and socio-bacteriology. , 2007, Studies in history and philosophy of biological and biomedical sciences.

[114]  Tetsuo Ueda AN INTELLIGENT SLIME MOLD: A SELF-ORGANIZING SYSTEM OF CELL SHAPE AND INFORMATION , 2005 .

[115]  M. Ciszak,et al.  Electrical spiking in bacterial biofilms , 2015, Journal of The Royal Society Interface.

[116]  P. V. van Haastert,et al.  Coupled excitable Ras and F-actin activation mediates spontaneous pseudopod formation and directed cell movement , 2017, Molecular biology of the cell.

[117]  Tomohiro Shirakawa,et al.  An associative learning experiment using the plasmodium of Physarum polycephalum , 2011, Nano Commun. Networks.

[118]  Larissa Albantakis,et al.  From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0 , 2014, PLoS Comput. Biol..

[119]  M. Levin,et al.  Of Minds and Embryos: Left-Right Asymmetry and the Serotonergic Controls of Pre-Neural Morphogenesis , 2006, Developmental Neuroscience.

[120]  S. Brier Cybersemiotics and Umweltlehre , 2001 .

[121]  D. Sumpter,et al.  Phenotypic variability in unicellular organisms: from calcium signalling to social behaviour , 2015, Proceedings of the Royal Society B: Biological Sciences.

[122]  G. Bateson,et al.  Mind and Nature: A Necessary Unity , 1979 .

[123]  J. Tuszynski,et al.  On the possible quantum role of serotonin in consciousness. , 2015, Journal of integrative neuroscience.

[124]  W. Rappel,et al.  Dictyostelium discoideum chemotaxis: threshold for directed motion. , 2006, European journal of cell biology.

[125]  F. Baluška,et al.  The ubiquity of consciousness , 2011, EMBO reports.

[126]  Rodolfo R. Llinás,et al.  Intrinsic electrical properties of mammalian neurons and CNS function: a historical perspective , 2014, Front. Cell. Neurosci..

[127]  M. Levin,et al.  Gap junctional signaling in pattern regulation: Physiological network connectivity instructs growth and form , 2017, Developmental neurobiology.

[128]  S. Kauffman,et al.  The mitotic oscillator in Physarum polycephalum. , 1975, Journal of theoretical biology.

[129]  A. Dussutour,et al.  Habituation in non-neural organisms: evidence from slime moulds , 2016, Proceedings of the Royal Society B: Biological Sciences.

[130]  Andrew Adamatzky,et al.  From reaction-diffusion to Physarum computing , 2009, Natural Computing.

[131]  J. Lengeler,et al.  Contributions of Minimal Cognition to Flexibility , 2001 .

[132]  E. B. Ridgway,et al.  Control of chemotaxis in Physarum polycephalum , 1976, The Journal of cell biology.

[133]  W. Seifriz A Materialistic Interpretation of Life , 1939, Philosophy of Science.

[134]  Andreas Blass,et al.  Abstract state machines capture parallel algorithms , 2003, TOCL.

[135]  W. Seifriz The structure of protoplasm , 1929, The Botanical Review.

[136]  Hector Zenil,et al.  Life as Thermodynamic Evidence of Algorithmic Structure in Natural Environments , 2012, Entropy.

[137]  H. Tsuchiya Anesthetic Agents of Plant Origin: A Review of Phytochemicals with Anesthetic Activity , 2017, Molecules.

[138]  Jeff Jones,et al.  On the role of the plasmodial cytoskeleton in facilitating intelligent behavior in slime mold Physarum polycephalum , 2015, Communicative & integrative biology.

[139]  Andrew Adamatzky,et al.  Slime mold microfluidic logical gates , 2014 .

[140]  Jean-Paul Delahaye,et al.  Algorithmic complexity for short binary strings applied to psychology: a primer , 2011, Behavior Research Methods.

[141]  Nicolas Gauvrit,et al.  Chunking in Working Memory and its Relationship to Intelligence , 2015, CogSci.

[142]  B. Goodwin,et al.  A cognitive view of biological process , 1978 .

[143]  Richard Mayne,et al.  Biology of the Physarum polycephalum Plasmodium: Preliminaries for Unconventional Computing , 2016 .

[144]  Yoash Shapira,et al.  Seeking the foundations of cognition in bacteria: From Schrödinger's negative entropy to latent information , 2006 .

[145]  Anthony Trewavas,et al.  Are plants sentient? , 2017, Plant, cell & environment.

[146]  P K Maini,et al.  Dispersion relation in oscillatory reaction-diffusion systems with self-consistent flow in true slime mold , 2007, Journal of mathematical biology.

[147]  S. Hameroff,et al.  Anesthetic Alterations of Collective Terahertz Oscillations in Tubulin Correlate with Clinical Potency: Implications for Anesthetic Action and Post-Operative Cognitive Dysfunction , 2017, Scientific Reports.

[148]  David H. Wolpert,et al.  The Free Energy Requirements of Biological Organisms; Implications for Evolution , 2016, Entropy.

[149]  T. Nakagaki,et al.  Path finding by tube morphogenesis in an amoeboid organism. , 2001, Biophysical chemistry.

[150]  Andrew Adamatzky,et al.  Physarum Machines: Computers from Slime Mould , 2010 .

[151]  Jeff Jones,et al.  ON ELECTRICAL CORRELATES OF PHYSARUM POLYCEPHALUM SPATIAL ACTIVITY: CAN WE SEE PHYSARUM MACHINE IN THE DARK? , 2010, 1012.1809.

[152]  Paul Thagard,et al.  Two theories of consciousness: Semantic pointer competition vs. information integration , 2014, Consciousness and Cognition.

[153]  S. Hameroff,et al.  Anesthetics act in quantum channels in brain microtubules to prevent consciousness. , 2015, Current topics in medicinal chemistry.

[154]  M H Weisenseel,et al.  Ionic currents traverse the slime mould physarum. , 1981, Cell biology international reports.

[155]  G. Tononi Consciousness as Integrated Information: a Provisional Manifesto , 2008, The Biological Bulletin.

[156]  Sally P. Springer Biology of Cognition. , 1981 .

[157]  V. A. Uspenski,et al.  On the Definition of an Algorithm , 1963 .

[158]  Michael Weinrich,et al.  Xenon and other volatile anesthetics change domain structure in model lipid raft membranes. , 2013, The journal of physical chemistry. B.

[159]  A. Tero,et al.  Rules for Biologically Inspired Adaptive Network Design , 2010, Science.

[160]  Colin Klein,et al.  What insects can tell us about the origins of consciousness , 2016, Proceedings of the National Academy of Sciences.

[161]  Y. Mori,et al.  Cognition of different length by Physarum polycephalum: Weber's law in an amoeboid organism , 2013 .

[162]  R. Rosen Optimality Principles in Biology , 1967, Springer US.

[163]  L Margulis,et al.  The Conscious Cell , 2001, Annals of the New York Academy of Sciences.

[164]  Pamela Lyon,et al.  The biogenic approach to cognition , 2006, Cognitive Processing.

[165]  Toshiyuki Nakagaki,et al.  Amoebae anticipate periodic events. , 2008, Physical review letters.

[166]  Fred Keijzer,et al.  Principles of Minimal Cognition: Casting Cognition as Sensorimotor Coordination , 2006, Adapt. Behav..

[167]  Jean Piaget,et al.  Biologie et connaissance : essai sur les relations entre les régulations organiques et les processus cognitifs , 1992 .

[168]  S. Brier Bateson and Peirce on the Pattern that Connects and the Sacred , 2008 .

[169]  G. Pezzulo,et al.  Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs. , 2015, Integrative biology : quantitative biosciences from nano to macro.

[170]  Yukio-Pegio Gunji,et al.  Free will in Bayesian and inverse Bayesian inference-driven endo-consciousness. , 2017, Progress in biophysics and molecular biology.

[171]  F. Waal Anthropomorphism and Anthropodenial: Consistency in Our Thinking about Humans and Other Animals , 1999 .

[172]  P. Lyon The agent in the organism : towards a biogenic theory of cognition , 2006 .

[173]  F. Baluška,et al.  Understanding of anesthesia – Why consciousness is essential for life and not based on genes , 2016, Communicative & integrative biology.