Metodo

International Studies in Phenomenology and Philosophy

Series | Book | Chapter

225976

The emergent self

how distributed neural networks support self-representation

Istvan Molnar-SzakacsLucina Q. Uddin

pp. 167-182

Abstract

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

Published in:

Franks David D., Turner Jonathan H. (2013) Handbook of neurosociology. Dordrecht, Springer.

Pages: 167-182

DOI: 10.1007/978-94-007-4473-8_13

Full citation:

Molnar-Szakacs Istvan, Uddin Lucina 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, 167–182.