David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Behavioral and Brain Sciences 28 (2):169-194 (2005)
Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These mechanisms include nested feedback interactions, global effects of neuromodulation, vertical integration, action-monitoring, and synaptic plasticity, and they are modeled in terms of both functional integration and temporal synchronization. I end by elaborating the psychological model of emotion–appraisal states with reference to neural processes
|Keywords||appraisal bidirectional causality cognition dynamic systems emotion neurobiology part–whole relations self-organization|
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Citations of this work BETA
Giovanna Colombetti (2009). From Affect Programs to Dynamical Discrete Emotions. Philosophical Psychology 22 (4):407-425.
Mikko Salmela (2011). Can Emotion Be Modelled on Perception? Dialectica 65 (1):1-29.
Ron Sun & Robert C. Mathews (2012). Implicit Cognition, Emotion, and Meta-Cognitive Control. Mind and Society 11 (1):107-119.
Kristen A. Lindquist & Lisa Feldman Barrett (2012). A Functional Architecture of the Human Brain: Emerging Insights From the Science of Emotion. Trends in Cognitive Sciences 16 (11):533-540.
Lisa Feldman Barrett Kristen A. Lindquist (2012). A Functional Architecture of the Human Brain: Emerging Insights From the Science of Emotion. Trends in Cognitive Sciences 16 (11):533.
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