The free-energy self: A predictive coding account of self-recognition

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

卷:41

Review

Apps, Matthew A. J.¹  Tsakiris, Manos¹ 

[1] Univ London, Dept Psychol, Lab Act & Body, Surrey, England

关键词: Self-recognition;    Self-awareness;    Voice recognition;    Face recognition;    Body ownership;    Bayesian Free energy;    Predictive coding;    Prediction error;    Rubber hand illusion;    Enfacement;   

DOI  :  10.1016/j.neubiorev.2013.01.029

来源: Elsevier

【 摘 要 】

Recognising and representing one's self as distinct from others is a fundamental component of self-awareness. However, current theories of self-recognition are not embedded within global theories of cortical function and therefore fail to provide a compelling explanation of how the self is processed. We present a theoretical account of the neural and computational basis of self-recognition that is embedded within the free-energy account of cortical function. In this account one's body is processed in a Bayesian manner as the most likely to be me. Such probabilistic representation arises through the integration of information from hierarchically organised unimodal systems in higher-level multimodal areas. This information takes the form of bottom-up surprise signals from unimodal sensory systems that are explained away by top-down processes that minimise the level of surprise across the brain. We present evidence that this theoretical perspective may account for the findings of psychological and neuroimaging investigations into self-recognition and particularly evidence that representations of the self are malleable, rather than fixed as previous accounts of self-recognition might suggest. (C) 2013 Elsevier Ltd. All rights reserved.

【 授权许可】

Free