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Researcher
Jonas Doevenspeck
- Disciplines:Nanotechnology, Sensors, biosensors and smart sensors, Other electrical and electronic engineering, Design theories and methods
Affiliations
- Electronic Circuits and Systems (ECS) (Division)
Member
From1 Aug 2020 → 16 Jan 2021 - ESAT - MICAS, Microelectronics and Sensors (Division)
Member
From17 Oct 2016 → 31 Jul 2020
Publications
1 - 9 of 9
- IGZO-Based Compute Cell for Analog In-Memory Computing-DTCO Analysis to Enable Ultralow-Power AI at Edge(2020)
Authors: Jonas Doevenspeck, Hyungrock Oh
Pages: 4616 - 4620 - Modeling and Demonstration of Oxygen Vacancy-Based RRAM as Probabilistic Device for Sequence Learning(2020)
Authors: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Pages: 505 - 511 - Low voltage transient RESET kinetic modeling of OxRRAM for neuromorphic applications(2019)
Authors: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Number of pages: 6 - Gait identification using stochastic OXRRAM-based time sequence machine learning(2019)
Authors: Jonas Doevenspeck
Pages: T84 - T85Number of pages: 2 - Chain of magnetic tunnel junctions as a spintronic memristor(2018)
Authors: Eline Raymenants, Olivier Bultynck, Jonas Doevenspeck, Marc Heyns, Iuliana Radu
- Temporal sequence learning with a history-sensitive probabilistic learning rule intrinsic to oxygen vacancy-based RRAM(2018)
Authors: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Number of pages: 4 - Design and simulation of plasmonic interference-based majority gate(2017)
Authors: Jonas Doevenspeck, Odysseas Zografos, Surya Prakash Gurunarayanan, Rudy Lauwereins
Pages: 65446 - Analytic variability study of inference accuracy in RRAM arrays with a binary tree winner-take-all circuit for neuromorphic applications
Authors: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Pages: 62 - 65 - In-Memory Neural Network Computing with Resistive Memories
Authors: Jonas Doevenspeck, Wim Dehaene, Rudy Lauwereins