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(2013) Handbook of neurosociology, Dordrecht, Springer.
The emergent self
how distributed neural networks support self-representation
Istvan Molnar-Szakacs, Lucina Q. Uddin
pp. 167-182
The self has been conceptualized and divided into two main aspects—the mental/psychological and the physical/embodied self. This chapter describes how simulation by the mirror neuron system (MNS) may underlie a multitude of cognitions that constitute the self, including embodied self-representation and the understanding of other's actions, and how the default mode network (DMN) may represent aspects of the mental self, including autobiographical memory and self-knowledge. Interactions of the DMN and MNS may subserve the integration of self-relevant traits within the context of autobiographical memory as well as future action goals—positioning the self as a "center of gravity" of one's private and social behavior.
Publication details
DOI: 10.1007/978-94-007-4473-8_13
Full citation:
Molnar-Szakacs, I. , Uddin, L. Q. (2013)., The emergent self: how distributed neural networks support self-representation, in D. D. Franks & J. H. Turner (eds.), Handbook of neurosociology, Dordrecht, Springer, pp. 167-182.
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