dc.creator | Mohan, Charanraj | es |
dc.creator | Camuñas Mesa, Luis Alejandro | es |
dc.creator | Rosa Utrera, José Manuel de la | es |
dc.creator | Serrano Gotarredona, María Teresa | es |
dc.creator | Linares Barranco, Bernabé | es |
dc.date.accessioned | 2021-06-28T12:47:13Z | |
dc.date.available | 2021-06-28T12:47:13Z | |
dc.date.issued | 2021-04 | |
dc.identifier.citation | Mohan, C., Camuñas Mesa, L.A., Rosa Utrera, J.M.d.l., Serrano Gotarredona, M.T. y Linares Barranco, B. (2021). Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices. En 2021 IEEE International Symposium on Circuits and Systems (ISCAS) Daegu, Korea (South): IEEE. | |
dc.identifier.isbn | 978-1-7281-9201-7 | es |
dc.identifier.isbn | 978-1-7281-9202-4 | es |
dc.identifier.uri | https://hdl.handle.net/11441/114905 | |
dc.description.abstract | The emergence of nano-scale memristive devices
encouraged many different research areas to exploit their use
in multiple applications. One of the proposed applications was
to implement synaptic connections in bio-inspired neuromorphic
systems. Large-scale neuromorphic hardware platforms are being
developed with increasing number of neurons and synapses, having
a critical bottleneck in the online learning capabilities. Spiketiming-
dependent plasticity (STDP) is a widely used learning
mechanism inspired by biology which updates the synaptic weight
as a function of the temporal correlation between pre- and postsynaptic
spikes. In this work, we demonstrate experimentally
that binary stochastic STDP learning can be obtained from a
memristor when the appropriate pulses are applied at both sides
of the device. | es |
dc.description.sponsorship | EU H2020 grant 824164 "HERMES" | es |
dc.description.sponsorship | EU H2020 grant 871371 "Memscales" | es |
dc.description.sponsorship | EU H2020 grant 871501 "NeurONN" | es |
dc.description.sponsorship | EU H2020 grant PCI2019-111826-2 "APROVIS3D" | es |
dc.description.sponsorship | EU H2020 grant 899559 "SpinAge" | es |
dc.description.sponsorship | Ministry of Science and Innovation (Spain) PID2019-105556GB-C31 | es |
dc.description.sponsorship | Ministry of Science and Innovation ( Spain) PID2019-103876RB-I00 (CORDION) | es |
dc.description.sponsorship | Ministry of Economy and Competitivity (Spain) / FEDER TEC2015- 63884-C2-1-P (COGNET) | es |
dc.description.sponsorship | Junta de Andalucía (Spain) US-1260118 (Neuro-Radio) | es |
dc.description.sponsorship | Universidad de Sevilla (Spain) VI PPIT | es |
dc.format | application/pdf | es |
dc.format.extent | 5 p. | es |
dc.language.iso | eng | es |
dc.publisher | IEEE | es |
dc.relation.ispartof | 2021 IEEE International Symposium on Circuits and Systems (ISCAS) (2021). | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Neuromorphic systems | es |
dc.subject | STDP | es |
dc.subject | Memristors | es |
dc.subject | Stochastic learning | es |
dc.subject | Spiking neural networks | es |
dc.title | Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | PID2019-105556GB-C31 | es |
dc.relation.projectID | PID2019-103876RB-I00 (CORDION) | es |
dc.relation.projectID | TEC2015- 63884-C2-1-P (COGNET) | es |
dc.relation.projectID | US-1260118 (Neuro-Radio) | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9401159 | es |
dc.identifier.doi | 10.1109/ISCAS51556.2021.9401159 | es |
dc.contributor.group | Universidad de Sevilla. TIC178: Diseño y Test de Circuitos Integrados de Señal Mixta | es |
idus.validador.nota | Preprint. Submitted version | es |
dc.eventtitle | 2021 IEEE International Symposium on Circuits and Systems (ISCAS) | es |
dc.eventinstitution | Daegu, Korea (South) | es |