QLCA and Entangled States as Single-Neuron Activity Generators

Each neuron in the central nervous system has many dendrites, which provide input information through impulses. Assuming that a neuron's decision to continue or stop firing is made by rules applied to the dendrites' inputs, we associate neuron activity with a quantum like-cellular automato...
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Autor*in:	Yehuda Roth [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	eigenconcepts quantum cellular automata quantum observer QCA operators entanglement collapse

Übergeordnetes Werk:	In: Frontiers in Computational Neuroscience - Frontiers Media S.A., 2008, 15(2021)
Übergeordnetes Werk:	volume:15 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fncom.2021.600075

Katalog-ID:	DOAJ056368836

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callnumber-first	R - Medicine
author	Yehuda Roth
spellingShingle	Yehuda Roth misc RC321-571 misc eigenconcepts misc quantum cellular automata misc quantum observer misc QCA operators misc entanglement misc collapse misc Neurosciences. Biological psychiatry. Neuropsychiatry QLCA and Entangled States as Single-Neuron Activity Generators
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topic_title	RC321-571 QLCA and Entangled States as Single-Neuron Activity Generators eigenconcepts quantum cellular automata quantum observer QCA operators entanglement collapse
topic	misc RC321-571 misc eigenconcepts misc quantum cellular automata misc quantum observer misc QCA operators misc entanglement misc collapse misc Neurosciences. Biological psychiatry. Neuropsychiatry
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title	QLCA and Entangled States as Single-Neuron Activity Generators
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title_full	QLCA and Entangled States as Single-Neuron Activity Generators
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title_sort	qlca and entangled states as single-neuron activity generators
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title_auth	QLCA and Entangled States as Single-Neuron Activity Generators
abstract	Each neuron in the central nervous system has many dendrites, which provide input information through impulses. Assuming that a neuron's decision to continue or stop firing is made by rules applied to the dendrites' inputs, we associate neuron activity with a quantum like-cellular automaton (QLCA) concepts. Following a previous study that related the CA description with entangled states, we provide a quantum-like description of neuron activity. After reviewing and presenting the entanglement concept expressed by QLCA terminology, we propose a model that relates quantum-like measurement to consciousness. Then, we present a toy model that reviews the QLCA theory, which is adapted to our terminology. The study also focuses on implementing QLCA formalism to describe a single neuron activity.
abstractGer	Each neuron in the central nervous system has many dendrites, which provide input information through impulses. Assuming that a neuron's decision to continue or stop firing is made by rules applied to the dendrites' inputs, we associate neuron activity with a quantum like-cellular automaton (QLCA) concepts. Following a previous study that related the CA description with entangled states, we provide a quantum-like description of neuron activity. After reviewing and presenting the entanglement concept expressed by QLCA terminology, we propose a model that relates quantum-like measurement to consciousness. Then, we present a toy model that reviews the QLCA theory, which is adapted to our terminology. The study also focuses on implementing QLCA formalism to describe a single neuron activity.
abstract_unstemmed	Each neuron in the central nervous system has many dendrites, which provide input information through impulses. Assuming that a neuron's decision to continue or stop firing is made by rules applied to the dendrites' inputs, we associate neuron activity with a quantum like-cellular automaton (QLCA) concepts. Following a previous study that related the CA description with entangled states, we provide a quantum-like description of neuron activity. After reviewing and presenting the entanglement concept expressed by QLCA terminology, we propose a model that relates quantum-like measurement to consciousness. Then, we present a toy model that reviews the QLCA theory, which is adapted to our terminology. The study also focuses on implementing QLCA formalism to describe a single neuron activity.
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title_short	QLCA and Entangled States as Single-Neuron Activity Generators
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