Timoleon Moraitis
Timoleon Moraitis
IBM Research - Zurich
Geverifieerd e-mailadres voor zurich.ibm.com
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Neuromorphic computing with multi-memristive synapses
I Boybat, M Le Gallo, SR Nandakumar, T Moraitis, T Parnell, T Tuma, ...
Nature communications 9 (1), 1-12, 2018
1262018
Bridging the gap: a reticulo-propriospinal detour bypassing an incomplete spinal cord injury
L Filli, AK Engmann, B Zörner, O Weinmann, T Moraitis, M Gullo, ...
Journal of Neuroscience 34 (40), 13399-13410, 2014
912014
A bidirectional brain-machine interface featuring a neuromorphic hardware decoder
F Boi, T Moraitis, V De Feo, F Diotalevi, C Bartolozzi, G Indiveri, A Vato
Frontiers in neuroscience 10, 563, 2016
212016
Stochastic weight updates in phase-change memory-based synapses and their influence on artificial neural networks
I Boybat, M Le Gallo, T Moraitis, Y Leblebici, A Sebastian, E Eleftheriou
2017 13th Conference on Ph. D. Research in Microelectronics and Electronics …, 2017
192017
On-chip unsupervised learning in winner-take-all networks of spiking neurons
R Kreiser, T Moraitis, Y Sandamirskaya, G Indiveri
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017
102017
Withdrawal of voluntary inhibition unravels the off state of the spontaneous blink generator
T Moraitis, A Ghosh
Neuropsychologia 65, 279-286, 2014
82014
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes
T Moraitis, A Sebastian, I Boybat, M Le Gallo, T Tuma, E Eleftheriou
2017 International Joint Conference on Neural Networks (IJCNN), 1823-1830, 2017
72017
The role of short-term plasticity in neuromorphic learning: learning from the timing of rate-varying events with fatiguing spike-timing-dependent plasticity
T Moraitis, A Sebastian, E Eleftheriou
IEEE Nanotechnology Magazine 12 (3), 45-53, 2018
52018
Spiking neural networks enable two-dimensional neurons and unsupervised multi-timescale learning
T Moraitis, A Sebastian, E Eleftheriou
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
12018
Managing datasets of a cognitive storage system with a spiking neural network
G Cherubini, T Moraitis, A Sebastian, V Venkatesan
US Patent App. 16/015,897, 2019
2019
Stdp with synaptic fatigue for learning of spike-time-coded patterns in the presence of parallel rate-coding
WW Koelmans, T Moraitis, A Sebastian, T Tuma
US Patent App. 16/380,177, 2019
2019
Neuromorphic synapses
WW Koelmans, T Moraitis, A Sebastian
US Patent App. 15/686,870, 2019
2019
Stdp with synaptic fatigue for learning of spike-time-coded patterns in the presence of parallel rate-coding
WW Koelmans, T Moraitis, A Sebastian, T Tuma
US Patent App. 15/590,530, 2018
2018
Stdp with synaptic fatigue for learning of spike-time-coded patterns in the presence of parallel rate-coding
WW Koelmans, T Moraitis, A Sebastian, T Tuma
US Patent App. 15/888,127, 2018
2018
Home> Scientific production and competences> STI-School of Engineering> IEL-Institute of Electrical Engineering> LSM-Microelectronic Systems Laboratory
R Ranjandish, A Schmid, E Shahrabi, Y Leblebici, S Ergünay, N Gong, ...
Signal 11, 25, 2018
2018
An efficient synaptic architecture for artificial neural networks
I Boybat, M Le Gallo, SR Nandakumar, T Moraitis, T Tuma, B Rajendran, ...
2017 17th Non-Volatile Memory Technology Symposium (NVMTS), 1-4, 2017
2017
Interactions between cognitive and automatic components of biological, artificial, and hybrid sensory-motor systems
T Moraitis
University of Zurich, 2017
2017
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Artikelen 1–17