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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2023-10-04T14:24:41Z
dc.date.available2023-10-04T14:24:41Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/20.500.13067/2644
dc.description.abstractThe process of synaptic transmission is projected onto the territory of quantum mechanics. Thus, the electric interactions are seen as probabilistic events more than a deterministic one. In this manner, the neurotransmitter would obey quantum laws and their dynamics is governed by the evolution operator. Thus, synapse seen as an action of propagation would encompasses well to that the spatial propagator or Green function that might model the dyanamics of neurotransmitters along the cleft. This turns out to be instantaneous in coherence to the concept of neural transmission. Indeed under the quantum mechnics scenario it is found that the eigenvalues of energies of Hamiltonian consist in electric potentials between electrically charged neurotransmitters and receptors at the ion channels.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.subjectNeurotransmitterses_PE
dc.subjectQuantum computinges_PE
dc.subjectNeuriteses_PE
dc.subjectComputational modelinges_PE
dc.subjectQuantum mechanicses_PE
dc.subjectProbabilityes_PE
dc.subjectProbabilistic logices_PE
dc.titleProbabilistic Neural Synapse Based in Quantum Mechanicses_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)es_PE
dc.identifier.doihttps://doi.org/10.1109/SNPD54884.2022.10051767
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE


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