DOI: 10.14704/nq.2013.11.2.661

Cognition As Meaning Segmentation Automata

Robert Skopec

Abstract


Brain states are inherently labile, with a complexity and transient that renders their invariant characteristics elusive. The neural mechanism distinguishing conscious and non-conscious processes is a crucial issue in cognitive neuroscience. The free-energy principle says that any self-organizing system in equilibrium with its environment must minimize its free energy. Mathematically it means that the probability of these (interoceptive and exteroceptive) sensory states must have low entropy. The posterior cingulate cortex (PCC) is reciprocally connected to the medial prefrontal cortex (MPFC), and both are parts of the brain’s default system, hypothesized to attend to internal body and mental states. Stronger evidence that event segmentation is automatic comes from implicit behavioral measures and also from neurophysiological measures.

NeuroQuantology | June 2013 | Volume 11 | Issue 2 | Page 263-267

Keywords


cognitive neuroscience; default mode network; nonlinearity; conscious reportability; the free energy principle; inference machine; feature extraction; meaning segmentation; automata

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Supporting Agencies

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.



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