Themis Prodromakis
Themis Prodromakis
Regius Chair of Engineering, Centre for Electronics Frontiers, University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
Integration of nanoscale memristor synapses in neuromorphic computing architectures
G Indiveri, B Linares-Barranco, R Legenstein, G Deligeorgis, ...
Nanotechnology 24 (38), 384010, 2013
STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems
T Serrano-Gotarredona, T Masquelier, T Prodromakis, G Indiveri, ...
Frontiers in Neuroscience 7, 2, 0
A versatile memristor model with nonlinear dopant kinetics
T Prodromakis, BP Peh, C Papavassiliou, C Toumazou
IEEE transactions on electron devices 58 (9), 3099-3105, 2011
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
A Serb, J Bill, A Khiat, R Berdan, R Legenstein, T Prodromakis
Nature communications 7 (1), 12611, 2016
Multibit memory operation of metal-oxide bi-layer memristors
S Stathopoulos, A Khiat, M Trapatseli, S Cortese, A Serb, I Valov, ...
Scientific reports 7 (1), 17532, 2017
Two centuries of memristors
T Prodromakis, C Toumazou, L Chua
Nature Materials 11, 478-481, 2012
Engineering the Maxwell–Wagner polarization effect
T Prodromakis, C Papavassiliou
Applied Surface Science 255 (15), 6989-6994, 2009
The effect of microgrooved culture substrates on calcium cycling of cardiac myocytes derived from human induced pluripotent stem cells
C Rao, T Prodromakis, L Kolker, UAR Chaudhry, T Trantidou, A Sridhar, ...
Biomaterials 34 (10), 2399-2411, 2013
Analog memristive synapse in spiking networks implementing unsupervised learning
E Covi, S Brivio, A Serb, T Prodromakis, M Fanciulli, S Spiga
Frontiers in neuroscience 10, 482, 2016
Real-time encoding and compression of neuronal spikes by metal-oxide memristors
I Gupta, A Serb, A Khiat, R Zeitler, S Vassanelli, T Prodromakis
Nature communications 7 (1), 1-9, 2016
Standards for the characterization of endurance in resistive switching devices
M Lanza, R Waser, D Ielmini, JJ Yang, L Goux, J Suñe, AJ Kenyon, ...
ACS nano 15 (11), 17214-17231, 2021
Emulating short-term synaptic dynamics with memristive devices
R Berdan, E Vasilaki, A Khiat, G Indiveri, A Serb, T Prodromakis
Scientific reports 6 (1), 18639, 2016
Memory Impedance in TiO2 based Metal-Insulator-Metal Devices
L Qingjiang, A Khiat, I Salaoru, C Papavassiliou, X Hui, T Prodromakis
Scientific reports 4 (1), 4522, 2014
A review on memristive devices and applications
T Prodromakis, C Toumazou
2010 17th IEEE international conference on electronics, circuits and systems …, 2010
Challenges hindering memristive neuromorphic hardware from going mainstream
GC Adam, A Khiat, T Prodromakis
Nature communications 9 (1), 5267, 2018
Memristive synapses connect brain and silicon spiking neurons
A Serb, A Corna, R George, A Khiat, F Rocchi, M Reato, M Maschietto, ...
Scientific reports 10 (1), 2590, 2020
A data-driven verilog-a reram model
I Messaris, A Serb, S Stathopoulos, A Khiat, S Nikolaidis, T Prodromakis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
A -Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays
R Berdan, A Serb, A Khiat, A Regoutz, C Papavassiliou, T Prodromakis
IEEE Transactions on Electron Devices 62 (7), 2190-2196, 2015
A proposal for hybrid memristor-CMOS spiking neuromorphic learning systems
T Serrano-Gotarredona, T Prodromakis, B Linares-Barranco
IEEE cIrcuIts and systEms magazInE 13 (2), 74-88, 2013
Investigation of the Switching Mechanism in TiO2-Based RRAM: A Two-Dimensional EDX Approach
D Carta, I Salaoru, A Khiat, A Regoutz, C Mitterbauer, NM Harrison, ...
ACS applied materials & interfaces 8 (30), 19605-19611, 2016
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