A Theory of Consciousness Founded on Neurons That Behave Like Qubits
J. Burger
arXiv.org October 16, 2011 preprint
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Argues that consciousness is a natural result of recursively connected neurons that work synchronously between short- and long-term memories, and proposes that these neurons have qubit-like properties supporting probabilistic true/false combinations at a given phase. The author contends these properties enable probabilistic cue modification for memory search and controlled toggling for parallel, reversible computations, aiding multiple recalls and mathematical abilities. |
Abstract
This paper presents a hypothesis that consciousness is a natural result of neurons that become connected recursively, and work synchronously between short and long term memories. Such neurons demonstrate qubit-like properties, each supporting a probabilistic combination of true and false at a given phase. Advantages of qubits include probabilistic modifications of cues for searching associations in long term memory, and controlled toggling for parallel, reversible computations to prioritize multiple recalls and to facilitate mathematical abilities.