Abstract
Predictive processing accounts of neural function view the brain as a kind of prediction machine that forms models of its environment in order to anticipate the upcoming stream of sensory stimulation. These models are then continuously updated in light of incoming error signals. Predictive processing has offered a powerful new perspective on cognition, action, and perception. In this chapter we apply the insights from predictive processing to the study of emotions. The upshot is a picture of emotion as inseparable from perception and cognition, and a key feature of the embodied mind.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Anscombe, G.E.M. 1957. Intention. Cambridge: Harvard University Press.
Barrett, L.F. 2006. Solving the Emotion Paradox: Categorization and the Experience of Emotion. Personality and Social Psychology Review 10: 20–46.
———. 2014. The Conceptual Act Theory: A Precis. Emotion Review 6 (4): 292–297.
———. 2017. The Theory of Constructed Emotion: An Active Inference Account of Interoception and Categorization. Social Cognitive and Affective Neuroscience 12 (1): 1–23.
Barrett, L.F., and W.K. Simmons. 2015. Interoceptive Predictions in the Brain. Nature Reviews Neuroscience 16: 419–429. https://doi.org/10.1038/nrn3950.
Barsalou, L.W. 1983. Ad hoc Categories. Memory and Cognition 11: 211–277.
Berridge, K.C. 2007. The Debate Over Dopamine’s Role in Reward: The Case for Incentive Salience. Psychopharmacology (Berl) 191: 391–431.
Carver, C.S., and M.F. Scheier. 1990. Origins and Functions of Positive and Negative Affect: A Control-Process View. Psychological Review 97 (1): 19–35.
Clark, A. 2013a. Whatever Next? Predictive Brains, Situated Agents, and the Future of Cognitive Science. Behavioral and Brain Sciences 36 (3): 181–204.
———. 2013b. Are We Predictive Engines? Perils, Prospects, and the Puzzle of the Porous Perceiver. Behavioral and Brain Sciences 36 (3): 233–253.
———. 2016. Surfing Uncertainty: Prediction, Action, and the Embodied Mind. Oxford: Oxford University Press.
Clark-Polner, E., T.D. Johnson, and L.F. Barrett. 2016. Multivoxel Pattern Analysis Does Not Provide Evidence to Support the Existence of Basic Emotions. Cerebral Cortex 27: 1944–1948. https://doi.org/10.1093/cercor/bhw028.
Craig, A.D. 2003. Interoception: The Sense of the Physiological Condition of the Body. Current Opinion in Neurobiology 13: 500–505. https://doi.org/10.1016/s0959-4388(03)00090-4.
Critchley, H.D. 2005. Neural Mechanisms of Autonomic, Affective and Cognitive Integration. Journal of Comparative Neurology 493: 154–166. https://doi.org/10.1002/cne.20749.
Denève, S. 2008. Bayesian Spiking Neurons I: Inference. Neural Computation 20: 91–117. https://doi.org/10.1162/neco.2008.20.1.91.
Durán, J.I., R. Reisenzein, and J.-M. Fernández-Dols. 2017. Coherence Between Emotions and Facial Expressions: A Research Synthesis. In The Science of Facial Expression, ed. J.-M. Fernández-Dols, and J. A. Russell, 107–129. New York, NY: Oxford University Press.
Feldman, H., and K.J. Friston. 2010. Attention, Uncertainty, and Free-Energy. Frontiers in Human Neuroscience 4: 215. https://doi.org/10.3389/fnhum.2010.00215.
Friston, K. 2005. A Theory of Cortical Responses. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 360: 815–836. https://doi.org/10.1098/rstb.2005.1622.
Friston, K., T. Shiner, T. FitzGerald, J.M. Galea, R. Adams, et al. 2012a. Dopamine, Affordance and Active Inference. PLoS Computational Biology 8 (1): e1002327.
Friston, K., C. Thornton, and A. Clark. 2012b. Free-Energy Minimization and the Dark-Room Problem. Frontiers in Psychology 3: 130. https://doi.org/10.3389/fpsyg.2012.00130.
Hohwy, J. 2013. The Predictive Mind. UK: Oxford University Press.
Holton, R. 2016. Review of Surfing Uncertainty: Prediction, Action, and the Embodied Mind. Times Literary Supplement 7 (October): 10–11.
Hume, D. 1739/2007. A Treatise of Human Nature: Being an Attempt to Introduce the Experimental Method of Reasoning into Moral Subjects. Oxford: Oxford University Press.
Joffily, M., and G. Coricelli. 2013. Emotional Valence and the Free-Energy Principle. PLoS Computational Biology 9 (6): e1003094.
Klein, C. 2018. What Do Predictive Coders Want? Synthese 195 (6): 2541–2557.
Lee, T.S., and D. Mumford. 2003. Hierarchical Bayesian Inference in the Visual Cortex. Journal of the Optical Society of America A. Optics and Image Science 20: 1434–1448. https://doi.org/10.1364/JOSAA.20.001434.
Marks, J. 1982. A Theory of Emotion. Philosophical Studies 42 (1): 227–242.
Millikan, R. 1995. Pushmi-Pullyu Representations. Philosophical Perspectives 9: 185–200.
Oakley, J. 1992. Morality and the Emotions. London: Routledge and Kegan Paul.
Pezzulo, G., F. Rigoli, and K. Friston. 2015. Active Inference, Homeostatic Regulation and Adaptive Behavioural Control. Progress in Neurobiology 134: 17–35.
Prinz, J. 2004. Gut Reactions: A Perceptual Theory of the Emotions. Oxford: Oxford University Press.
Rao, R.P., and D.H. Ballard. 1999. Predictive Coding in the Visual Cortex: A Functional Interpretation of Some Extra-Classical Receptive-Field Effects. Nature Neuroscience 2: 79–87. https://doi.org/10.1038/4580.
Sanfey, A.G., G. Loewenstein, S.M. McClure, and J.D. Cohen. 2006. Neuroeconomics: Cross-Currents in Research on Decision-Making. Trends in Cognitive Sciences 10: 108–116. https://doi.org/10.1016/j.tics.2006.01.009.
Schachter, S., and J. Singer. 1962. Cognitive, Social, and Physiological Determinants of Emotional State. Psychological Review 69 (5): 379–399.
Seth, A.K. 2013. Interoceptive Inference, Emotion, and the Embodied Self. Trends in Cognitive Sciences 17 (11): 565–573.
Shipp, S., R. Adams, and K.J. Friston. 2013. Reflections on Agranular Architecture: Predictive Coding in the Motor Cortex. Trends in Neurosciences 36 (12): 706–716.
Siegel, Erika H., Molly K. Sands, Wim Van den Noortgate, Paul Condon, Yale Chang, Jennifer Dy, Karen S. Quigley, and Lisa Feldman Barrett. (2018). Emotion Fingerprints or Emotion Populations? A Meta-Analytic Investigation of Autonomic Features of Emotion Categories. Psychological Bulletin 144 (4): 343–393.
Srofe, L.A., and E. Waters. 1976. The Ontogenesis of Smiling and Laughter: A Perspective on the Organization of Development in Infancy. Psychological Review 83 (3): 173–189.
Van de Cruys, S. 2017. Affective Value in the Predictive Mind. In Philosophy and Predictive Processing, Chapter 24. ed. T.K. Metzinger, and W. Wiese. Frankfurt am Main: MIND Group.
Van de Cruys, S., and J. Wagemans. 2011. Putting Reward in Art: A Tentative Prediction Error Account of Visual Art. i-Perception 2 (9): 1035–1062.
Wager, Tor D., Jian Kang, Timothy D. Johnson, Thomas E. Nichols, Ajay B. Satpute, Lisa Feldman Barrett, and Jörn Diedrichsen. (2015). A Bayesian Model of Category-Specific Emotional Brain Responses. PLOS Computational Biology 11 (4): e1004066.
Whitacre, J., and A. Bender. 2010. Degeneracy: A Design Principle for Achieving Robustness and Evolvability. Journal of Theoretical Biology 263 (1): 143–153.
Acknowledgements
All authors were supported by the European Research Council (XSPECT—DLV-692739).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 The Author(s)
About this chapter
Cite this chapter
Wilkinson, S., Deane, G., Nave, K., Clark, A. (2019). Getting Warmer: Predictive Processing and the Nature of Emotion. In: Candiotto, L. (eds) The Value of Emotions for Knowledge. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-15667-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-15667-1_5
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-030-15666-4
Online ISBN: 978-3-030-15667-1
eBook Packages: Religion and PhilosophyPhilosophy and Religion (R0)