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Towards input output non-linear modeling of the subthalamic nucleus using intranuclear recordings

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dc.contributor.author Michmizos, KP en
dc.contributor.author Nikita, KS en
dc.contributor.author Tagaris, GL en
dc.contributor.author Sakas, DE en
dc.date.accessioned 2014-03-01T02:46:34Z
dc.date.available 2014-03-01T02:46:34Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32719
dc.subject Input output model en
dc.subject Intranuclear recordings en
dc.subject Subthalamic nucleus en
dc.subject.other Basal ganglia en
dc.subject.other Deep brain stimulation en
dc.subject.other Hammerstein-Wiener models en
dc.subject.other Input output model en
dc.subject.other Input-output en
dc.subject.other Input-output systems en
dc.subject.other Intranuclear recordings en
dc.subject.other Local field potentials en
dc.subject.other Non-linear en
dc.subject.other Nonlinear modeling en
dc.subject.other Parkinsonian tremor en
dc.subject.other Reasonable accuracy en
dc.subject.other Subthalamic nucleus en
dc.title Towards input output non-linear modeling of the subthalamic nucleus using intranuclear recordings en
heal.type conferenceItem en
heal.identifier.primary 10.1109/NER.2009.5109368 en
heal.identifier.secondary http://dx.doi.org/10.1109/NER.2009.5109368 en
heal.identifier.secondary 5109368 en
heal.publicationDate 2009 en
heal.abstract The subthalamic nucleus (STN) is a pivotal point of the basal ganglia function and dysfunction. Its crucial engagement with the neurosurgical procedure of deep brain stimulation (DBS) that alleviates medically intractable Parkinsonian tremor augments the need to refine our current understanding of it. Intranuclear recordings, received from a patient during surgery, are processed to acquire both local field potentials (LFPs) and the spiking activity of the cells inside the nucleus. Under the physiologically justified assumption that the LFPs constitute the input of the cells inside the nucleus whereas the spikes are the output, an input output system analysis of the STN is straightforward. Primary results show that a non-linear Hammerstein-Wiener model is able to simulate the STN output with a reasonable accuracy. ©2009 IEEE. en
heal.journalName 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09 en
dc.identifier.doi 10.1109/NER.2009.5109368 en
dc.identifier.spage 601 en
dc.identifier.epage 604 en


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