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Does the Brain Function as a Quantum Phase Computer Using Phase Ternary Computation?

Andrew S Johnson1, William Winlow1,2

  • 1Dipartimento di Biologia, Università degli Studi di Napoli, Federico II, Napoli, Italy.

Frontiers in Physiology
|May 7, 2021
PubMed
Summary
This summary is machine-generated.

Nervous system computation relies on precise pressure pulses, not action potential peaks. This quantum-based, phase ternary computation model explains rapid retinal processing, challenging traditional nerve conduction theories.

Keywords:
action potentialerror redactionphase ternary computationplasticityquantum phase computationretinal modelsynchronizationtiming

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Quantum Computing

Background:

  • Current models of nerve conduction, like cable theory, struggle to explain the rapid processing speeds observed in neural networks, particularly the retina.
  • Action potentials, while crucial for neural signaling, possess plasticity that makes their peaks unsuitable for precise neural computation.
  • Spiking neuron models operate at rates insufficient to overcome inherent processing errors in complex neural computations.

Purpose of the Study:

  • To propose a novel computational framework for nervous system communication based on pressure pulses/solitons.
  • To demonstrate the inadequacy of cable theory in explaining nerve conduction and retinal processing.
  • To present evidence for a quantum-based, phase ternary computation model underlying brain function.

Main Methods:

  • Analysis of nerve conduction mechanisms, specifically challenging the applicability of cable theory.
  • Examination of action potential properties, identifying the threshold as a suitable computational point.
  • Deconstruction of the brain's neural network architecture to identify its computational principles, drawing parallels with quantum phase computers.

Main Results:

  • Evidence suggests that nervous communication fundamentally relies on pressure pulses/solitons with high temporal precision.
  • The action potential threshold, not the peak, is identified as a viable point for neural computation.
  • Retinal processing demonstrates the limitations of cable theory and supports a quantum-based, phase ternary computation model.

Conclusions:

  • Nerve conduction and computation are distinct phenomena, with pressure pulses enabling precise, error-resistant signaling.
  • The brain operates as a quantum phase computer utilizing phase ternary computation, distinct from Turing-based mechanisms.
  • This quantum-based coding, with temporal and phase-base variables, is essential for complex computations like those in the retina.