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      A sensorimotor control framework for understanding emotional communication and regulation

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          Abstract

          Our research team was asked to consider the relationship of the neuroscience of sensorimotor control to the language of emotions and feelings. Actions are the principal means for the communication of emotions and feelings in both humans and other animals, and the allostatic mechanisms controlling action also apply to the regulation of emotional states by the self and others. We consider how motor control of hierarchically organised, feedback-based, goal-directed action has evolved in humans, within a context of consciousness, appraisal and cultural learning, to serve emotions and feelings. In our linguistic analysis, we found that many emotion and feelings words could be assigned to stages in the sensorimotor learning process, but the assignment was often arbitrary. The embodied nature of emotional communication means that action words are frequently used, but that the meanings or senses of the word depend on its contextual use, just as the relationship of an action to an emotion is also contextually dependent.

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          Most cited references260

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          The free-energy principle: a unified brain theory?

          A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories - optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.
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            Emotion Regulation: Current Status and Future Prospects

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              Whatever next? Predictive brains, situated agents, and the future of cognitive science.

              Andy Clark (2013)
              Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to adaptive success. This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency.
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                Author and article information

                Journal
                7806090
                6166
                Neurosci Biobehav Rev
                Neurosci Biobehav Rev
                Neuroscience and biobehavioral reviews
                0149-7634
                1873-7528
                16 September 2020
                15 February 2020
                May 2020
                01 May 2021
                : 112
                : 503-518
                Affiliations
                [a ]University of Aberdeen, Institute of Medical Sciences, Foresterhill, AB25 2ZD, Scotland, United Kingdom
                [b ]Central Queensland University, School of Health, Medical and Applied Sciences, Bruce Highway, Rockhampton, QLD 4702, Australia
                [c ]Australian Catholic University, School of Psychology, ARC Centre for Excellence in Cognition and its Disorders, Sydney, NSW 2060, Australia
                [d ]University of Melbourne, Melbourne Neuropsychiatry Centre, Department of Psychiatry, 161 Barry Street, Carlton, VIC 3053, Australia
                [e ]Kyoto University, Kokoro Research Centre, 46 Yoshidashimoadachicho, Sakyo Ward, Kyoto, 606-8501, Japan
                [f ]University of Western Australia, School of Psychological Science, Perth, WA, 6009, Australia
                [g ]Thompson Rivers University, Department of Psychology, 805 TRU Way, Kamloops, BC V2C 0C8, Canada
                [h ]Otto von Guericke University Magdeburg Faculty of Natural Sciences, Department of Psychology, Universitätsplatz 2, Magdeburg 39106, Germany
                [i ]Leiden University, Cognitive Psychology, Pieter de la Court, Waassenaarseweg 52, Leiden, 2333 AK, the Netherlands
                [j ]Edith Cowan University, Psychology Department, School of Arts and Humanities, 270 Joondalup Dr, Joondalup, WA 6027, Australia
                [k ]Yale University, Connecticut Mental Health Centre, S112, 34 Park Street, New Haven, CT 06519-1109, USA
                [l ]Neuroqualia, Room 229A, Forrester Hall, 36 Arthur Street, Truro, Nova Scotia, B2N 1X5, Canada
                Author notes
                [* ]Corresponding author. Justin.williams@ 123456abdn.ac.uk (J.H.G. Williams).
                Article
                NIHMS1627238
                10.1016/j.neubiorev.2020.02.014
                7505116
                32070695
                6780081e-4d23-491f-9119-30f4dbcefd53

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/BY-NC-ND/4.0/).

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                Neurosciences
                emotion,feeling,action,facial expression,motor,sensorimotor,planning,linguistics,emotion regulation,cognitive appraisal,embodied cognition,mirror neurons

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