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A Superposed Quantum Model of Brain Spiking Neurons

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dc.contributor.author Daneshzand, Mohammad
dc.contributor.author Almotiri, Jasem
dc.contributor.author Baashirah, Rania
dc.contributor.author Elleithy, Khaled M.
dc.date.accessioned 2015-06-16T17:36:49Z
dc.date.available 2015-06-16T17:36:49Z
dc.date.issued 2015-04-30
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1215
dc.description © ASEE 2015
dc.description.abstract In all mammalian brain billions of neurons exist and these neurons are working together through synapses and spike responses. A big question stand still in the field of neuroscience. Why a neuron can produce different types of spikes under same conditions? We showed that unknown and random behavior of neuronal spikes through time can be described by this quantum fact that a neuron can be in many states at a same time, therefore any spike patterns or combination of spike patterns can be understandable. Based on neuronal spikes patterns, sometimes we observed an unknown pattern can be explained by this phenomena that a neuron can exist partially in a physical state but when it’s response to an stimuli is recorded the result would be only one of the possible states or a linear combination of some states. en_US
dc.language.iso en_US en_US
dc.subject Superposed quantum model en_US
dc.subject Neuronal spiking en_US
dc.title A Superposed Quantum Model of Brain Spiking Neurons en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Boston, MA en_US
dc.event.name 2015 Northeast Section Conference of the American Society for Engineering Education (ASEE) en_US


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