Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale LearningTimoleon MoraitisAbu Sebastianet al.2018IJCNN 2018
Exploiting the non-linear current-voltage characteristics for resistive memory readoutNikolaos PapandreouAbu Sebastianet al.2018ISCAS 2018
Mixed-precision architecture based on computational memory for training deep neural networksS. R. NandakumarManuel Le Galloet al.2018ISCAS 2018
An efficient synaptic architecture for artificial neural networksIrem BoybatManuel Le Galloet al.2017NVMTS 2017
Supervised learning in spiking neural networks with MLC PCM synapsesS. R. NandakumarIrem Boybatet al.2017DRC 2017
Stochastic weight updates in phase-change memory-based synapses and their influence on artificial neural networksIrem BoybatManuel Le Galloet al.2017PRIME 2017
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codesTimoleon MoraitisAbu Sebastianet al.2017IJCNN 2017
Joule heating effects in nanoscale carbon-based memory devicesTobias BachmannA.M. Alexeevet al.2016NMDC 2016
Probing the micromechanics of the fastest growing plant cell - The pollen tubeNaveen ShamsudhinHuseyin Baris Atakanet al.2016EMBC 2016