Bridging single neuron dynamics to global brain states.
Jennifer S. Goldman, Nuria Tort-Colet, Matteo di Volo, Eduarda
Susin, Jules Bout\'e, Mallory Carlu, Trang-Anh Nghiem, Tomasz
G\'orski and Alain Destexhe
Frontiers in Systems Neuroscience, in press.
Biological neural networks produce information on a background of
multi-scale spontaneous activity that becomes more complex in brain
states displaying higher capacities for cognition, for instance,
attentive waking versus anesthetized states. Here, we review} brain
state-dependent mechanisms spanning ionic currents (microscale) to
the dynamics of brain-wide, distributed, transient functional
assemblies (macroscale). Not unlike how microscopic interactions
between molecules underlie structures formed in macroscopic states
of matter, using statistical physics, the dynamics of microscopic
neural phenomena can be linked to macroscopic brain dynamics.
Beyond spontaneous dynamics, it is observed that stimuli produce
collapses of complexity, more remarkable over highly complex
background dynamics present in conscious than unconscious brain
states. In contrast, complexity may not be further collapsed in
already low-dimensional unconscious spontaneous activity. We
propose that the increase of complexity in spontaneous dynamics
during conscious states supports responsiveness, enhancing neural
networks' emergent capacity to robustly encode information over
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