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■ 書籍「行為する意識: エナクティヴィズム入門」の文献リスト(英語論文、日本語論文、英語書籍)

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文献リスト

(日本語書籍については本書巻末の「主要参考文献」にリストあり。こちらでは、英語論文、日本語論文、英語書籍について、登場順でリストを作成した。)

I章

• Crick F and Koch C (1990) Towards a neurobiological theory of consciousness. Seminars. Neuroscience 2: p. 263-75.
• Quiroga, R., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005) Invariant visual representation by single neurons in the human brain. Nature, 435 (7045), p. 1102-7.
• Kreiman G, Fried I, Koch C. (2002) Single-neuron correlates of subjective vision in the human medial temporal lobe, Proc Natl Acad Sci U S A. 99(12), p. 8378-83.
• Parvizi J, Jacques C, Foster BL, Witthoft N, Rangarajan V, Weiner KS, Grill-Spector K (2012) Electrical stimulation of human fusiform face-selective regions distorts face perception, J Neurosci. 32(43), p. 14915-20.
• Schalk G et al (2017) Facephenes and rainbows: Causal evidence for functional and anatomical specificity of face and color processing in the human brain, Proc Natl Acad Sci U S A. 114(46), p. 12285-90.
• Albantakis L, Tononi G (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLoS Comput Biol 10(5): e1003588.
• Tsuchiya N, Taguchi S, Saigo H. (2016) Using category theory to assess the relationship between consciousness and integrated information theory. Neurosci Res. 107:1-7.
• Marr, D. (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. New York, NY: W. H. Freeman & Company.（邦訳：『ビジョン―視覚の計算理論と脳内表現』乾敏郎＋安藤広志訳、産業図書、１９８７年）
• Komatsu H, Kinoshita M, Murakami I. (2000) Neural responses in the retinotopic representation of the blind spot in the macaque V1 to stimuli for perceptual filling-in. J Neurosci. 20(24): p. 9310-9.
• Komatsu H. (2006) The neural mechanisms of perceptual filling-in, Nat Rev Neurosci. 7(3): p. 220-31.
• Kolers PA, von Grünau M. (1976) Shape and color in apparent motion, Vision Res. 16(4): p. 329-35.
• Henderson JM, Hollingworth A. (2003) Global transsaccadic change blindness during scene perception, Psychol Sci. 14(5): p. 493-7.
• Edwards HM, Jackson JG and Evans H (2022) Neuroticism as a covariate of cognitive task performance in individuals with tinnitus. Front. Psychol. 13:906476.
• Hermann von Helmholtz (1867). Handbuch der physiologischen Optik. Leibzig: Leopold Voss
• Blakemore SJ, Wolpert D, Frith C. (2000) Why can’t you tickle yourself? Neuroreport. 11(11): R11-6.
• Andy Clark (2016) Surfing Uncertainty, Oxford: Oxford University Press
• Roy M. Pritchard (1961) Stabilized Images on the Retina. Scientific American, 204(6), p. 72-9

II章

• William Ross Ashby (1952) Design for a Brain, Chapman & Hall.（邦訳：『頭脳への設計―知性と生命の起源』山田坂仁ほか訳、宇野書店、１９６７年）
• Andrew Pickering (2010) The Cybernetic Brain: Sketches of Another Future. University of Chicago Press
• R. C. Conant and W. R. Ashby. (1970) Every good regulator of a system must be a model of that system, Int. J. Systems Sci., vol 1, No 2, p. 89-97
• Barlow, H. B. (1961) Possible principles underlying the transformations of sensory messages, Sensory Communication, Ed. W. Rosenblith, Cambridge: MIT Press, Ch1, p. 217-34.
• Barlow, H. B. (1972) Single units and sensation: a neuron doctrine for perceptual psychology? Perception 1, p. 371-94.
• Barlow H. (2009) Grandmother cells, symmetry, and invariance: how the term arose and what the facts suggest, The Cognitive Neurosciences, 4th Edn, ed Michael Gazzaniga, Cambridge: MIT Press, p. 309-20.
• Eifuku S, De Souza WC, Tamura R, Nishijo H, Ono T. (2004) Neuronal correlates of face identification in the monkey anterior temporal cortical areas. J Neurophysiol. 91(1):358-71.
• Chang L, Tsao DY. (2017) The Code for Facial Identity in the Primate Brain. Cell. 169(6):1013-1028.e14.
• Waidmann EN, Koyano KW, Hong JJ, Russ BE, Leopold DA. (2022) Local features drive identity responses in macaque anterior face patches. Nat Commun. 13(1):5592.
• Friston K. (2013) Life as we know it, J R Soc Interface. 10(86)
• Bertschinger N., Olbrich E., Ay N., Jost J. (2006) Information and closure in systems theory, Explorations in the Complexity of Possible Life, Proceedings of the 7th German Workshop of Artificial Life, (Amsterdam) p. 9-21
• Di Paolo, E., & Thompson, E. (2014) The enactive approach. In L. Shapiro (Ed.), Routledge handbooks in philosophy. The Routledge handbook of embodied cognition (p. 68-78) Routledge.
• De Jaegher, H., Di Paolo, E., & Gallagher, S. (2010). Can social interaction constitute social cognition? Trends in Cognitive Sciences, 14(10), p. 441-7.
• Francisco J. Varela (1979) Principles of Biological Autonomy. The North-Holland Series in General Systems Research, Vol. 2. New York: Elsevier North-Holland, Inc.
• Froese T. & Stewart J. (2010) Life after Ashby: Ultrastability and the autopoietic foundations of biological individuality. Cybernetics & Human Knowing 17(4): 7-50.
• Varela, F. J. (1997) Patterns of life: intertwining identity and cognition, Brain and Cognition 34: p. 72-87.
• Varela, F. J. (1994) On defining life. In: G. Fleischeker and M. Colonna (eds), Self-reproduction of Supramolecular Structures, p. 23-33. Nato ASI Series, Plenum Press.
• Weber, A., Varela, F.J. (2002) Life after Kant: Natural purposes and the autopoietic foundations of biological individuality. Phenomenology and the Cognitive Sciences 1, p. 97-125.
• *Andrew Pickering (2010) The Cybernetic Brain. Sketches of Another Future. University of Chicago Press.
• Daniel C, Mason OJ. Predicting psychotic-like experiences during sensory deprivation. Biomed Res Int. 2015;2015:439379.
• Tsodyks, M., Kenet, T., Grinvald, A. and Arieli, A. (1999) Linking Spontaneous Activity of Single Cortical Neurons and the Underlying Functional Architecture, Science, 286, p. 1943-6.
• Durstewitz D, Koppe G, Thurm MI. (2023) Reconstructing computational system dynamics from neural data with recurrent neural networks. Nat Rev Neurosci, 24(11): p. 693-710.
• Warren S. McCulloch; Walter Pitts (1943) A logical calculus of the ideas immanent in nervous activity, Bulletin of mathematical Biology, 5(4): p. 115-33.
• A L Hodgkin and A F Huxley. (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve, J. Physiol, 117(4): p. 500-44.
• Izhikevich, E. M. (2007) Dynamical Systems in Neuroscience. MIT Press, Cambridge.
• Lara, A. H., Cunningham, J. P. & Churchland, M. M. (2018) Different population dynamics in the supplementary motor area and motor cortex during reaching, Nature Communications 9, 2754.
• Isomura, T. (2023) Bayesian mechanics of self-organising systems, arXiv preprint arXiv:2311.10216.
• 磯村拓哉（2025）「知能の統一理論への道標」『神経回路学会誌』32(1), p.47-57.
• 吉田正俊＋田口茂（2018）「自由エネルギー原理と視覚的意識」『日本神経回路学会誌』25 (3), p. 53

III章

• Chalmers, D. J. (1995) Facing Up to the Problem of Consciousness, Journal of Consciousness Studies 2(3): p. 200-19.
• Husserl, E. (1984) Logische Untersuchungen, Band II/1, Husserliana XIX/1, Den Haag: Martinus Nijhoff.
• *田口茂（2022）「田辺元の「媒介」概念とそのポテンシャル」『危機の時代と田辺哲学』法政大学出版局、p. 97-116
• 田口茂（2024）「「媒介」概念の可能性―現代的コンテクストにおける田辺哲学」『日本哲学史研究』（20）, p. 90-121
• Luhmann, N. (2013) Introduction to Systems Theory, Cambridge: Polity.
• Luhmann, N. (2002) Theories of Distinction, Stanford: Stanford UP.
• 田口茂＋西郷甲矢人＋大塚淳（2020）「現象学的明証論と統計学―経験の基本的構造を求めて」『哲学論叢』（47）, p. 20-34
• 川岸郁朗＋入枝泰樹＋坂野聡美（2006）「大腸菌走化性シグナル伝達機構―タンパク質局在と相互作用を中心に」『物性研究』85(5), p. 668-84

IV章

• Tagkopoulos I, Liu YC, Tavazoie S. (2008) Predictive behavior within microbial genetic networks, Science, 320(5881): p. 1313-7.
• 大平英樹（2023）「内受容感覚・意思決定・感情の統合―予測的処理としてのアロスタシス」BRAIN and NERVE 75(11)1197-1205
• Sterling P, Eyer J. (1988) Allostasis: a new paradigm to explain arousal pathology. In: Fisher S, Reason J, editors. Handbook of Life Stress, Cognition and Health.
• Sterling P. (2012) Allostasis: a model of predictive regulation. Physiol Behav. 106(1), p. 5-15.
• Bechtel W, Bich L. (2024) Rediscovering Bernard and Cannon: Restoring the Broader Vision of Homeostasis Eclipsed by the Cyberneticists. Philosophy of Science. Published online 2024, p. 1-22.
• Friston K, Thornton C and Clark A (2012) Free-energy minimization and the dark-room problem. Front. Psychology 3:130.
• Barlow, H. B. (1961). Possible principles underlying the transformation of sensory messages. Sensory Communication, 1(01).
• Rao RP, Ballard DH. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat Neurosci. 1999;2(1):79-87.
• Linxing Preston Jiang and Rajesh P. N. Rao (2022) Predictive Coding Theories of Cortical Function. In: Oxford Research Encyclopedia of Neuroscience, S. Murray Sherman (ed.)
• Friston, Karl (2005) A theory of cortical responses. Phil. Trans. R. Soc. B360815–836
• 吉田正俊＋田口茂（2018）および吉田正俊＋宮園健吾＋西尾慶之＋山下祐一＋鈴木啓介（2023）「自由エネルギー原理、能動的視覚、サリエンス」『人工知能』38(6), p. 787-95
• Friston, K. (2010) The free-energy principle: a unified brain theory?. Nat Rev Neurosci 11, p. 127–38.
• Floegel M, Kasper J, Perrier P, Kell CA. (2023) How the conception of control influences our understanding of actions, Nat Rev Neurosci. (5), p. 313-29.

V章

• L R Squire, B J Knowlton (1994) The Cognitive Neurosciences, ed M Gazzinga, Cambridge: MIT Press.
• O’Regan JK, Noë A. (2001) A sensorimotor account of vision and visual consciousness. Behav Brain Sci. 24(5):939-73; discussion 973-1031.
• William James (1890) The Principles of Psychology.
• Egbert MD and Barandiaran XE (2014) Modeling habits as self-sustaining patterns of sensorimotor behavior. Front. Hum. Neurosci. 8: p. 590.
• Buhrmann T, Di Paolo EA and Barandiaran X (2013) A dynamical systems account of sensorimotor contingencies. Front. Psychol. 4: p. 85.
• Suzuki, K., Wakisaka, S. & Fujii, N. (2012) Substitutional Reality System: A Novel Experimental Platform for Experiencing Alternative Reality. Sci Rep 2, 459.
• Hurley, S., Noë, A. (2003) Neural Plasticity and Consciousness. Biology & Philosophy 18, p. 131-68.
• Wu et al (2024) Network state transitions during cortical development. Nat Rev Neurosci. 25(8), p. 535-52.
• Held R, Hein A. (1963) Movement-Produced Stimulation in the Development of Visually Guided Behavior. J Comp Physiol Psychol. 56, p. 872-6.
• Attinger A, Wang B, Keller GB. (2017) Visuomotor Coupling Shapes the Functional Development of Mouse Visual Cortex, Cell 169(7): 1291-302. e14.
• Barandiaran, X.E. (2017) Autonomy and Enactivism: Towards a Theory of Sensorimotor Autonomous Agency. Topoi 36, p. 409-30.
• 廣田隆造＋西郷甲矢人＋田口茂（2024） 「モノイドとしての自己―自律性への圏論的アプローチ」『人工知能学会全国大会論文集』第38回 4S1OS30a05-4S1OS30a05, 2024
• 廣田隆造「エナクティヴ・アプローチの現在―その原理と展開」『システムとサイバネティクスの思想／システム論』（コロナ社より出版予定）
• Di Paolo, E., & Thompson, E. (2014) The enactive approach. In L. Shapiro (Ed.), Routledge handbooks in philosophy. The Routledge handbook of embodied cognition (p. 68-78). Routledge.
• Kiernan et al (2011) Amyotrophic lateral sclerosis. Lancet. 377(9769), p. 942-55.
• Renart et al (2010) The asynchronous state in cortical circuits. Science. 327(5965), p. 587-90.
• Sohal VS, Rubenstein JLR. (2019) Excitation-inhibition balance as a framework for investigating mechanisms in neuropsychiatric disorders. Mol Psychiatry. 24(9), 1248-1257.
• Shahaf G, Marom S. (2001) Learning in networks of cortical neurons. J Neurosci, 21(22), 8782-8.
• A Masumori, T Ikegami, L Sinapayen (2019) Predictive Coding as Stimulus Avoidance, Spiking Neural Networks. 2019 IEEE Symposium Series on Computational Intelligence (SSCI), p. 271-7.
• N’Dri, A.W., Gebhardt, W., Teulière, C., Zeldenrust, F., Rao, R.P., Triesch, J., & Ororbia, A.G. (2024) Predictive Coding with Spiking Neural Networks: a Survey. arXiv:2409.05386
• Hertäg L, Sprekeler H. (2020) Learning prediction error neurons in a canonical interneuron circuit. eLife. 21; 9:e57541.
• Crick, F., Koch, C. (1998) Constraints on cortical and thalamic projections: the no-strong-loops hypothesis, Nature 391, p. 245-50.
• Collerton D, Tsuda I, Nara S. (2024) Episodic Visual Hallucinations, Inference and Free Energy. Entropy (Basel). 26(7), p. 557.
• 島崎秀昭（2019）「ベイズ統計と熱力学から見る生物の学習と認識のダイナミクス」『日本神経回路学会誌』26(3）、p. 72-98
• Adams RA, Shipp S, Friston KJ. (2013) Predictions not commands: active inference in the motor system. Brain Struct Funct. 218(3), p. 611-43.
• Allen M, Friston KJ. (2018) From cognitivism to autopoiesis: towards a computational framework for the embodied mind. Synthese. 195(6), p. 2459-82.
• Bruineberg, J., Kiverstein, J. & Rietveld, E. (2018) The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective. Synthese 195, 2417-44.
• Kirchhoff, M.D. (2018) Autopoiesis, free energy, and the life–mind continuity thesis. Synthese 195, 2519-40.
• Di Paolo, Thompson & Beer (2022) Laying down a forking path: Tensions between enaction and the free energy principle. Philosophy and the Mind Sciences, 3.
• Ramstead Maxwell J. D., Sakthivadivel Dalton A. R., Heins Conor, Koudahl Magnus, Millidge Beren, Da Costa Lancelot, Klein Brennan & Friston Karl J. (2023) On Bayesian mechanics: a physics of and by beliefs. Interface Focus. 1320220029

VI章

• Frank, A., Gleiser, M., Thompson, E. (2024) The Blind Spot: Why Science Cannot Ignore Human Experience. Cambridge: MIT Press.
• Merleau-Ponty, M. (1962). Phenomenology of Perception, trans. C. Smith, London: Routledge and Kegan Paul.
• Sartre, J.-P. (1943). L‘étre et le néant. Paris: Éditions Gallimard, p. 111, 116.（Ｊ・Ｐ・サルトル（2007）『存在と無』Ⅰ、松浪信三郎訳、ちくま学芸文庫、p. 228, 233）
• Sartre, Jean-Paul （1947）. Une idée fondamentale de la phénomenologie de Husserl: L’intentionnalité, in : Situations I, Paris: Gallimard, p.33.（サルトル（1978）「フッサールの現象学の根本的理念―志向性」白井健三郎訳『シチュアシオンⅠ』人文書院、p. 28）
• Varela, F. J. (1996) Neurophenomenology: a methodological remedy for the hard problem. Journal of Consciousness Studies 3, p. 330-49.（邦訳：「神経現象学」『現代思想』vol.29-12、２００１年10月号）
• Varela, F. J. (1999) The specious present: A neurophenomenology of time consciousness in Naturalizing phenomenology: Issues in Contemporary Phenomenology and Cognitive Science (Petitot, J., Varela, F. J., Pachoud, B. & Roy, J.-M.) p.266-329 (Stanford University Press). 邦訳：p. 196 （『現代思想』vol.29-12、２００１年10月号）
• Lutz A, Lachaux JP, Martinerie J, Varela FJ. (2002) Guiding the study of brain dynamics by using first-person data: synchrony patterns correlate with ongoing conscious states during a simple visual task. Proc Natl Acad Sci U S A. 2002 Feb 5;99(3):1586-91.
• Le Van Quyen M. (2010). Neurodynamics and phenomenology in mutual enlightenment: The example of the epileptic aura. In Stewart J., Gapenne O., Di Paolo E. A. (Eds.), Enaction: Toward a new paradigm for cognitive science (p. 245–66). Cambridge, MA: The MIT Press.
• Petitmengin, C. Describing one’s subjective experience in the second person: An interview method for the science of consciousness. Phenom Cogn Sci 5, p. 229-69 (2006).
• Miyahara, K., Niikawa, T., Hamada, H. T., & Nishida, S. (2020). Developing a short-term phenomenological training program: A report of methodological lessons. New Ideas in Psychology, 58, Article 100780.
• Durstewitz D, Koppe G, Thurm MI. (2023) Reconstructing computational system dynamics from neural data with recurrent neural networks. Nat Rev Neurosci. 24(11):693-710.
• Favela, L.H. (2021) The dynamical renaissance in neuroscience. Synthese 199, 2103-2127.
• Froese T. (2023) Irruption Theory: A Novel Conceptualization of the Enactive Account of Motivated Activity. Entropy (Basel). 25(5):748.
• Thompson E, Varela FJ. (2001) Radical embodiment: neural dynamics and consciousness. Trends Cogn Sci. 5(10), p. 418-25.
• Husserl, E. (1972). Erfahrung und Urteil. Hamburg: Felix Meiner.
• Zahavi, D. (2005). Subjectivity and Selfhood. Cambridge MA: Bradford Book/ MIT Press.
• 田口茂（2015）「媒介論的現象学の構想」『ハイデガーフォーラム』Vol. 9, p. 37-48.
• Hohwy J, Roepstorff A, Friston K. (2008) Predictive coding explains binocular rivalry: an epistemological review. Cognition. 108(3) p. 687-701.
• Merleau-Ponty, M. (1945). Phénoménologie de la Perception. Paris: Gallimard.
• Di Paolo, E.A. (2000) Homeostatic adaptation to inversion in the visual field and other sensorimotor disruptions. In J. Meyer, A. Berthoz, D. Floreano, H. Roitblat, & S. Wilson (Eds.), From Animalsto Animats VI: Proceedings of the 6th International Conference on Simulation of Adaptive Behavior, p. 440-9. Cambridge: MIT Press.
• Iizuka H, Di Paolo EA. (2007) Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference. Adaptive Behavior. 15(4): p. 359-76.
• Keramati M, Gutkin B. (2014) Homeostatic reinforcement learning for integrating reward collection and physiological stability. Elife. 2014 Dec 2;3:e04811.
• Yoshida N, Arikawa E, Kanazawa H, Kuniyoshi Y. (2014) Modeling long-term nutritional behaviors using deep homeostatic reinforcement learning. PNAS Nexus. 3(12): p. 540.
• Sass LA, Parnas J. (2003) Schizophrenia, consciousness, and the self. Schizophr Bull. 29(3): p. 427-44.
• Gallagher, S. (2000). Philosophical conceptions of the self: Implications for cognitive science, Trends in Cognitive Sciences, 4(1), p. 14-21.
• Howes, O. D. & Murray, R. M. (2014) Schizophrenia: an integrated sociodevelopmental-cognitive model. Lancet 383, p. 1677-87.
• Kapur S. (2003) Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia, Am J Psychiatry, 160(1), p. 13-23.
• MacDonald N. (1960) Living with schizophrenia. Can Med Assoc J. 82, p. 218-21.
• Kapur S. (2004) How antipsychotics become anti-“psychotic”--from dopamine to salience to psychosis. Trends Pharmacol Sci. 25(8): p. 402-6.
• 谷徹（2009）「現象学と間文化性」『現代思想』37（16）, p. 131
• Varela F. & Depraz N. (2005). At the Source of Time: Valence and the Constitutional Dynamics of Affect. Journal of Consciousness Studies 12 (8): p. 61-81.
• 吉田正俊＋宮園健吾＋西尾慶之＋山下祐一＋鈴木啓介（2022）「サリエンスをアフォーダンスとして捉え直す―能動的推論の視点からの、精神病症状の異常サリエンス仮説への示唆」Jxiv doi:10.51094/jxiv.148
• ニクラス・ルーマン（2012）「社会システムのオートポイエーシス」『自己言及性について』（邦訳：大方透＋大澤善信訳、ちくま学芸文庫、２０１６年、p. 7-39）
• Maturana H. R. (2012) Reflections on my collaboration with Francisco Varela. Constructivist Foundations 7(3): p. 155-64.
• Varela F. (1996) The early days of autopoiesis: Heinz and Chile, Systems Research, 13(3), p. 407-16.
• Hohwy J. (2016) The Self-evidencing brain, Noûs 50: p. 259–285.
• Gallagher S, Allen M. (2018) Active inference, enactivism and the hermeneutics of social cognition. Synthese. 195(6): 2627-2648.
• 中井久夫（2004）「世界における索引と徴候」『徴候・記憶・外傷』みすず書房
• Hasson U, Nastase SA, Goldstein A. (2020) Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks. Neuron. 105(3) p. 416-34.
• Tsuda, I., Yamaguti, Y., & Watanabe, H. (2016) Self-Organization with Constraints: A Mathematical Model for Functional Differentiation. Entropy, 18(3), p. 74.

補論

• Niikawa T, Miyahara K, Hamada HT, Nishida S. (2020) A new experimental phenomenological method to explore the subjective features of psychological phenomena: its application to binocular rivalry, Neurosci Conscious, 2020(1):niaa018.
• Noguchi W, Iizuka H, Yamamoto M, Taguchi S. (2022) Superposition mechanism as a neural basis for understanding others, Sci Rep, 12(1): 2859.
• Ryuzo Hirota, Hayato Saigo, Shigeru Taguchi (2024) Reality of Affordances: A Category-Theoretic Approach, Proceedings of the 2024 Artificial Life Conference. (p. 71). ASME. https://doi.org/10.1162/isal_a_00805