Physics Clues on the Mind Substrate and Attributes.

Front Comput Neurosci

Institute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, Spain.

Published: April 2022

AI Article Synopsis

  • Recent advancements in neuroscience have enhanced our understanding of brain function, particularly through the study of neuron interactions and synaptic activity.
  • Essential cognitive processes, like consciousness and identity, emerge from complex networks of neurons working together and adapting to their environment.
  • The article highlights the relevance of physics concepts in brain activity and how these interactions can be observed in EEG recordings, linking them to significant phenomena in memory tasks.

Article Abstract

The last decade has witnessed a remarkable progress in our understanding of the brain. This has mainly been based on the scrutiny and modeling of the transmission of activity among neurons across lively synapses. A main conclusion, thus far, is that essential features of the mind rely on collective phenomena that emerge from a willful interaction of many neurons that, mediating other cells, form a complex network whose details keep constantly adapting to their activity and surroundings. In parallel, theoretical and computational studies developed to understand many natural and artificial complex systems, which have truthfully explained their amazing emergent features and precise the role of the interaction dynamics and other conditions behind the different collective phenomena they happen to display. Focusing on promising ideas that arise when comparing these neurobiology and physics studies, the present perspective article shortly reviews such fascinating scenarios looking for clues about how high-level cognitive processes such as consciousness, intelligence, and identity can emerge. We, thus, show that basic concepts of physics, such as and , become quite relevant to the brain activity while determined by factors at the subcellular, cellular, and network levels. We also show how these transitions depend on details of the processing mechanism of stimuli in a noisy background and, most important, that one may detect them in familiar electroencephalogram (EEG) recordings. Thus, we associate the existence of such phases, which reveal a brain operating at (non-equilibrium) criticality, with the emergence of most interesting phenomena during memory tasks.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026167PMC
http://dx.doi.org/10.3389/fncom.2022.836532DOI Listing

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