期刊
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
卷 41, 期 -, 页码 85-97出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neubiorev.2013.01.029
关键词
Self-recognition; Self-awareness; Voice recognition; Face recognition; Body ownership; Bayesian Free energy; Predictive coding; Prediction error; Rubber hand illusion; Enfacement
资金
- European Research Council Starting Investigator Grant [ERC-2010-StG-262853]
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.
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