Volume 11 No 2 (2013)
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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.
Keywords
default mode network, nonlinearity, the free energy principle, inference machine, meaning segmentation automata
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