[1] viXra:1710.0168 [pdf] submitted on 2017-10-17 10:05:28
Authors: Deli E, Tozzi A, Peters JF
Comments: 12 Pages.
The brain displays a low-frequency ground energy conformation, called the resting state, which is characterized by
energy/information balance via self-regulatory mechanisms. Despite the high-frequency evoked activity accumulates
information from the detail-oriented sensory processing of environmental data, nevertheless the brain’s automatic
regulation is always able to recover the resting state. Indeed, we show that the two energetic processes are
complementary and symmetric: while activation decreases temporal dimensionality via transient bifurcations, the
ensuing brain’s response leads to procedures that satisfy the Landauer’s principle. Landauer’s principle, which states
that information erasure requires energy, predicts heat accumulation in the system: this means that information
accumulation is correlated with increases in temperature and with actions that recover the resting state. We explain
how brain synaptic networks frame a closed system, similar to the Carnot cycle, where the information/energy cycle
accumulates as energy of synaptic connections, and then dissipates in the resting state. In deep learning, representation
of information might occur via the same mechanism.
Category: Mind Science