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
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
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
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), 1-9, 2016
Two centuries of memristors
T Prodromakis, C Toumazou, L Chua
Nature Materials 11, 478-481, 2012
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), 1-7, 2017
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
Engineering the Maxwell–Wagner polarization effect
T Prodromakis, C Papavassiliou
Applied Surface Science 255 (15), 6989-6994, 2009
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
Analog memristive synapse in spiking networks implementing unsupervised learning
E Covi, S Brivio, A Serb, T Prodromakis, M Fanciulli, S Spiga
Frontiers in neuroscience, 482, 2016
Emulating short-term synaptic dynamics with memristive devices
R Berdan, E Vasilaki, A Khiat, G Indiveri, A Serb, T Prodromakis
Scientific reports 6 (1), 1-9, 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), 1-6, 2014
A review on memristive devices and applications
T Prodromakis, C Toumazou
2010 17th IEEE international conference on electronics, circuits and systems …, 2010
An extended CMOS ISFET model incorporating the physical design geometry and the effects on performance and offset variation
Y Liu, P Georgiou, T Prodromakis, TG Constandinou, C Toumazou
IEEE Transactions on Electron Devices 58 (12), 4414-4422, 2011
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
High precision analogue memristor state tuning
R Berdan, T Prodromakis, C Toumazou
Electronics letters 48 (18), 1105-1107, 2012
Resistive switching of oxygen enhanced TiO2 thin-film devices
I Salaoru, T Prodromakis, A Khiat, C Toumazou
Applied Physics Letters 102 (1), 013506, 2013
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 memristor SPICE model accounting for volatile characteristics of practical ReRAM
R Berdan, C Lim, A Khiat, C Papavassiliou, T Prodromakis
IEEE Electron Device Letters 35 (1), 135-137, 2013
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