My Journey to Neurophilosophy: Paul Thagard




Paul Thagard describes how his current work in neurophilosophy grew out of a long series of engagements with philosophy, philosophy of science, cognitive science, neural networks, and theoretical neuroscience. Each of these engagements had cumulative advantages over its predecessors.  Neurophilosophy is prospering by applying insights about the workings of the brain to central problems in epistemology, metaphysics, and ethics.


philosophy, neuroscience, neurophilosoophy, philosophy of science, cognitive science, neural networks, theoretical neuroscience, consciousness


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Blouw P, Solodkin E, Thagard P, Eliasmith C. Concepts as semantic pointers: A framework and computational model. Cognitive Science 2016; 40: 1128-1162.

Buchdahl G. Metaphysics and the philosophy of science: The classical origins, Descartes to Kant. MIT Press; 1969.

Chomsky N. Language and mind (2 ed.). Harcourt Brace Jovanovich; 1972.

Churchland PS. Neurophilosophy: Towards a unifed understanding of the mind-brain. MIT Press; 1986.

Churchland PS. Brain-Wise: Studies in neurophilosophy. MIT Press; 2002.

Churchland PS. What is neurophilosophy and how did neurophilosoph get started? Journal of NeuroPhilosophy 2022;, 1: 1-16.

Clark A. Surfing uncertainty: Prediction, action, and the embodied mind. Oxford University Press; 2015.

Crawford E, Gingerich M, Eliasmith C. Biologically plausible, human‐scale knowledge representation. Cognitive Science 2016; 40: 782-821.

Damasio AR. Descartes' error: Emotion, reason, and the human brain. G. P. Putnam's Sons; 1994.

Dammann O, Poston T, Thagard P. How do medical researchers make causal inferences? In" McCain K, Kampourakis K. eds. What is scientific knowledge? An introduction to contemporary epistemology of science. Routledge, 2019: 33-51.

Dayan P, Abbott, LF. Theoretical neuroscience: Computational and mathematical modeling of neural systems. MIT Press; 2001.

Dehaene S. Consciousness and the brain: Deciphering how the brain codes our thoughts. Viking; 2014.

Eliasmith C. How to build a brain: A neural architecture for biological cognition. Oxford University Press; 2013.

Eliasmith C, Anderson CH. Neural engineering: Computation, representation and dynamics in neurobiological systems. MIT Press; 2003.

Eliasmith C, Stewart TC, Choo X, Bekolay T, DeWolf T, Tang Y, Rasmussen D. A large-scale model of the functioning brain. Science 2012; 338: 1202-1205.

Goldman A. Epistemology and cognition. Harvard University Press; 1986.

Grim P. Computational philosophy. Stanford Encyclopedia of Philosophy. Retrieved 2020 from

Hacking I.The emergence of probability. Cambridge University Press; 1975.

Harman G. The inference to the best explanation. Philosophical Review 1965; 74: 88-95.

Holland JH, Holyoak KJ, Nisbett RE, Thagard PR. Induction: Processes of inference, learning, and discovery. MIT Press; 1986.

Holyoak KJ, Thagard P. Mental leaps: Analogy in creative thought. MIT Press; 1995.

Homer-Dixon T, Milkoreit M, Mock, SJ, Schröder T, Thagard, P. The conceptual structure of social disputes: Cognitive-affective maps as a tool for conflict analysis and resolution. SAGE Open 2014; 4: 1-20.

Kajić I, Schröder T, Stewart, TC, Thagard, P. (2019). The semantic pointer theory of emotions: Integrating physiology, appraisal, and construction. Cognitive Systems Research 2019; 58: 35-53.

Minsky M. A framework for representing knowledge. In: Winston, PH eds. The psychology of computer vision. McGraw-Hill, 1975: 211-277..

Nisbett RE, Ross L. Human inference: Strategies and shortcomings of social judgement. Prentice Hall; 1980.

Parr T, Pezzulo G, Friston KJ. Active inference: The free energy principle in mind, brain, and behaviour. MIT Press; 2022.

Quine WVO. Word and object. MIT Press; 1960.

Rumelhart DE, McClelland JL eds. Parallel distributed processing: Explorations in the microstructure of cognition. MIT Press; 1986.

Russell B. Why I am not a Christian and other essays on religion and related subjects. George Allen and Unwin; 1967.

Schröder T, Thagard, P. The affective meanings of automatic social behaviors: Three mechanisms that explain priming. Psychological Review 2013;, 120: 255-280.

Sejnowski TJ. The deep learning revolution. MIT Press; 2013.

Seth A. Being you: A new science of consciousness. Dutton; 2021.

Shannon CE. A mathematical theory of communication. The Bell System Technical Journal 1948: 27, 379-423.

Silver D, Singh S, Precup, D, Sutton RS. Reward Is enough. Artificial Intelligence 2021; 299: 103535.

Thagard P. The best explanation: Criteria for theory choice. Journal of Philosophy 1978; 75: 76-92.

Thagard P. Computational philosophy of science. MIT Press; 1988.

Thagard P. Explanatory coherence. Behavioral and Brain Sciences 1989; 12: 435-467.

Thagard P. Conceptual revolutions. Princeton University Press; 1992.

Thagard P. How scientists explain disease. Princeton University Press; 1992.

Thagard P. Coherence in thought and action. MIT Press; 2000

Thagard, P. Why cognitive science needs philosophy and vice versa. Topics in Cognitive Science 2009; 1: 237-254.

Thagard P. The brain and the meaning of life. Princeton University Press; 2010.

Thagard P. The cognitive science of science: Explanation, discovery, and conceptual change. MIT Press: 2012a.

Thagard P. Eleven dogmas of analytic phiosophy. Hot Thought. Retrieved 2012b from

Thagard P. Brain-mind: From neurons to consciousness and creativity. Oxford University Press: 2019a.

Thagard P. Mind-society: From brains to social sciences and professions. Oxford University Press; 2019b.

Thagard P. Natural philosophy: From social brains to knowledge, reality, morality, and beauty. Oxford University Press: 2019c.

Thagard P. Bots and beasts: What makes machines, animals, and people smart? MIT Press: 2021a.

Thagard P. How rationality is bounded by the brain. In: Viale R ed. Routledge handbook of bounded rationality. Routledge; 2021b: 398-406.

Thagard P. Naturalizing logic: How knowledge of mechanisms enhances inductive inference. Philosophies 2021c; 6: 52. Retrieved from

Thagard P. What is misinformation? Hot Thought. Retrieved 2021d from

Thagard P. Balance: How it works and what it means. Columbia University Press: 2022a.

Thagard P. Energy requirements undermine substrate independence and mind-body functionalism. Philosophy of Science 2022b; 89: 70-88.

Thagard P. The relevance of neuroscience to meaning in life. In: Landau I ed. Oxford handbook of meaning in life. Oxford University Press; 2022c: 127-144.

Thagard P. Why falsehoods fly: Fighting misinformation. Columbia University Press; forthcoming.

Thagard P, Larocque L, Kajić I. Emotional change: Neural mechanisms based on semantic pointers. Emotion 2022, Advance online publication.

Thagard P, Schröder T. Emotions as semantic pointers: Constructive neural mechanisms. In: Barrett LF, Russell RA eds. The psychological construction of emotions. Guilford, 2014: 144-167.

Thagard P, Stewart TC. The Aha! experience: Creativity through emergent binding in neural networks. Cognitive Science 2011; 35: 1-33.

Thagard P, Stewart, TC. Two theories of consciousness: Semantic pointer competition vs. information integration. Consciousness and Cognition 2014;, 30: 73-90.

Tononi G, Boly M, Massimini M, Koch C (2016). Integrated information theory: From consciousness to its physical substrate. Nature Reviews Neuroscience 2016;, 17: 450-461.

Wagar BM, Thagard P. Spiking Phineas Gage: A neurocomputational theory of cognitive-affective integration in decision making. Psychological Review 2004; 111: 67-79.




How to Cite

Thagard, P. (2023). My Journey to Neurophilosophy: Paul Thagard. Journal of NeuroPhilosophy, 2(1).