dc.creatorNieto-Chaupis, Huber
dc.date.accessioned2023-10-04T14:24:41Z
dc.date.accessioned2024-08-06T21:11:54Z
dc.date.available2023-10-04T14:24:41Z
dc.date.available2024-08-06T21:11:54Z
dc.date.created2023-10-04T14:24:41Z
dc.date.issued2022
dc.identifierhttps://hdl.handle.net/20.500.13067/2644
dc.identifier2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
dc.identifierhttps://doi.org/10.1109/SNPD54884.2022.10051767
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9539682
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.
dc.languageeng
dc.publisherIEEE
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectNeurotransmitters
dc.subjectQuantum computing
dc.subjectNeurites
dc.subjectComputational modeling
dc.subjectQuantum mechanics
dc.subjectProbability
dc.subjectProbabilistic logic
dc.titleProbabilistic Neural Synapse Based in Quantum Mechanics
dc.typeinfo:eu-repo/semantics/article


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