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[The brain. An analogic machine with quantum functioning?]

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Neuroscience explores brain networks and the connectome to understand consciousness. The dynamic brain connectome

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging
  • Computational Neuroscience

Background:

  • Brain function relies on neuronal communication via synapses, forming circuits for information processing.
  • Complex mental activity arises from interconnected neural circuits processing diverse information modalities.
  • The brain's connectome, representing cortical region connections, is studied using neuroimaging.

Purpose of the Study:

  • To investigate the neurobiological underpinnings of mental functions and consciousness.
  • To explore the relationship between brain connectivity (connectome) and behavior.
  • To examine the dynamic nature of the connectome and its interaction with stimuli.

Main Methods:

  • Utilizing neuroimaging techniques, such as nuclear magnetic resonance, to map brain connections.
  • Analyzing data on connection density within the brain's connectome.
  • Considering brain plasticity as a factor in the dynamic nature of neural networks.

Main Results:

  • The brain's connectome is a dynamic structure, constantly adapting through brain plasticity.
  • Current understanding does not definitively link connectome complexity to predictable behavior or consciousness.
  • Complex behavior appears non-linear, suggesting factors beyond simple neuronal interaction.

Conclusions:

  • The precise link between brain connectivity and consciousness remains elusive.
  • Determinism in behavior is uncertain, opening avenues for exploring quantum mechanisms in consciousness.
  • Further research is needed to understand the physical parameters governing brain complexity and mental phenomena.