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dc.contributor.authorKhan, Ten
dc.contributor.authorRamezani, Hamidehen
dc.contributor.authorMuzio, Gen
dc.contributor.authorAkan, Ozguren
dc.date.accessioned2019-10-31T00:30:38Z
dc.date.available2019-10-31T00:30:38Z
dc.identifier.issn1944-9399
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/298250
dc.description.abstractCommunication among neurons is the most promising technique for biocompatible nanonetworks. This necessitates the thorough communication theoretical analysis of information transmission among neurons. The information flow in neuro-spike communication channel is regulated by the ability of neurons to change their synaptic strengths over time, i.e. synaptic plasticity. Thus, the performance evaluation of the nervous nanonetwork is incomplete without considering the influence of synaptic plasticity. Hence, in this paper, we provide a comprehensive model for multiple-input single-output (MISO) neuro-spike communication by integrating the spike timing dependent plasticity (STDP) into existing channel model. We simulate this model for a realistic scenario with correlated inputs and varying spiking threshold. We show that plasticity is strengthening the correlated input synapses at the expense of weakening the synapses with uncorrelated inputs. Moreover, a nonlinear behavior in signal transmission is observed with changing spiking threshold.
dc.description.sponsorshipThis work was supported in part by the ERC projects MINERVA (ERC-2013-CoG #616922) and the ERC Proof of Concept project MINRGRACE (ERC-2017-PoC #780645).
dc.publisherIEEE
dc.rightsAll rights reserved
dc.titleAnalysis of information flow in MISO neuro-spike communication channel with synaptic plasticityen
dc.typeConference Object
prism.publicationName2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)en
prism.volume2019-Januaryen
dc.identifier.doi10.17863/CAM.45304
rioxxterms.versionofrecord10.1109/NANO.2018.8706253en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
dc.contributor.orcidRamezani, Hamideh [0000-0003-3813-5077]
dc.contributor.orcidAkan, Ozgur [0000-0003-2523-3858]
dc.identifier.eissn1944-9380
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.funder-project-idEuropean Commission FP7 ERC Consolidator Grant (616922)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) ERC (780645)
cam.issuedOnline2019-05-06en
pubs.conference-name18th International Conference on Nanotechnology (IEEE-NANO)en
pubs.conference-start-date2018-07-23en
rioxxterms.freetoread.startdate2019-01-01


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