Apps M. A. & Tsakiris M. (2014) The free-energy self: A predictive coding account of self-recognition. Neuroscience & Biobehavioral Reviews 41: 85–97. Fulltext at https://cepa.info/5544
The free-energy self: A predictive coding account of self-recognition.
Neuroscience & Biobehavioral Reviews 41: 85–97.
Fulltext at https://cepa.info/5544
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.
Key words: self-recognition
, voice recognition
, face recognition
, body ownership
, free energy
, predictive coding
, prediction error
, rubber hand illusion