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Making sense of feelings.

Brian Key, Deborah J Brown

Neuroscience of consciousness January 1, 2024 Peer reviewed DOI: 10.1093/nc/niae034 via PubMed

Summary

Feelings like pain, hunger, and thirst are usually thought to drive survival behaviors, but this assumption conflicts with standard neuroscience of motor action. The authors propose that feelings do not cause behavior but instead serve an explanatory function, helping animals make sense of their actions. This 'sense making sense' hypothesis avoids epiphenomenalism by giving feelings a role without claiming they directly cause behavior, integrating neural computations for motor control and subjective experience.

Study at a glance

Design review
Key finding The 'sense making sense' hypothesis proposes that the function of subjective feelings is to explain behavior rather than to cause it.

Abstract

Internal feeling states such as pain, hunger, and thirst are widely assumed to be drivers of behaviours essential for homeostasis and animal survival. Call this the 'causal assumption'. It is becoming increasingly apparent that the causal assumption is incompatible with the standard view of motor action in neuroscience. While there is a well-known explanatory gap between neural activity and feelings, there is also a disjuncture in the reverse direction-what role, if any, do feelings play in animals if not to cause behaviour? To deny that feelings cause behaviours might thus seem to presage epiphenomenalism-the idea that subjective experiences, including feelings, are inert, emergent and, on some views, non-physical properties of brain processes. Since epiphenomenalism is antagonistic to fundamental commitments of evolutionary biology, the view developed here challenges the standard view about the function of feelings without denying that feelings have a function. Instead, we introduce the 'sense making sense' hypothesis-the idea that the function of subjective experience is not to cause behaviour, but to explain, in a restricted but still useful sense of 'explanation'. A plausible framework is derived that integrates commonly accepted neural computations to blend motor control, feelings, and explanatory processes to make sense of the way feelings are integrated into our sense of how and why we do and what we do.

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