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dc.contributor.authorKhan, Ten
dc.contributor.authorAkan, Ozguren
dc.date.accessioned2019-10-30T00:31:07Z
dc.date.available2019-10-30T00:31:07Z
dc.date.issued2019-03-01en
dc.identifier.issn1878-7789
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/298217
dc.description.abstract© 2019 Elsevier B.V. The information from outside world is encoded into spikes by the sensory neurons. These spikes are further propagated to different brain regions through various neural pathways. In the cortical region, each neuron receives inputs from multiple neurons that change its membrane potential. If the accumulated change in the membrane potential is more than a threshold value, a spike is generated. According to various studies in neuroscience, this spiking threshold adapts with time depending on the previous spike. This causes short-term changes in the neural responses giving rise to short-term plasticity. Therefore, in this paper, we analyze a multiple-input single-output (MISO) neuro-spike communication channel and study the effects of dynamic spiking threshold on mutual information and maximum achievable sum rate of the channel. Since spike generation consumes a generous portion of the metabolic energy provided to the brain, we further put metabolic constraint in calculating the mutual information and find a trade-off between maximum achievable sum rate and metabolic energy consumed. Moreover, we analyze three types of neurons present in the cortical region, i.e., Regular spiking, Intrinsic bursting and Fast spiking neurons. We aim to characterize these neurons in terms of encoding/transmission rates and energy expenditure. It will provide a guideline for the practical implementation of bio-inspired nanonetworks as well as for the development of ICT-based diagnosis and treatment techniques for neural diseases.
dc.description.sponsorshipThis work was supported in part by European Research Council (ERC) under grant ERC-2013-CoG 616922 (Project MINERVA) and ERC-2017-PoC 780645 (ERC Proof of Concept project MINRGRACE).
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleSum rate analysis of multiple-access neuro-spike communication channel with dynamic spiking thresholden
dc.typeArticle
prism.endingPage118
prism.publicationDate2019en
prism.publicationNameNano Communication Networksen
prism.startingPage110
prism.volume19en
dc.identifier.doi10.17863/CAM.45269
dcterms.dateAccepted2019-01-10en
rioxxterms.versionofrecord10.1016/j.nancom.2019.01.002en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-03-01en
dc.contributor.orcidAkan, Ozgur [0000-0003-2523-3858]
dc.identifier.eissn1878-7797
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEuropean Commission FP7 ERC Consolidator Grant (616922)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) ERC (780645)
cam.issuedOnline2019-01-14en
cam.orpheus.successThu Jan 30 10:36:23 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2020-01-14


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-NoDerivatives 4.0 International