Journal Articles

J17. Wei, S.L., Vasilaki, E., Khiat, A., Salaoru, I., Berdan, R., Prodromakis, T., 2017. Emulating long-term synaptic dynamics with memristive devices. Frontiers in Neuromorphic Eng., in press. [preprint arXiv version]

J16. Gupta, I., Serb, A., Khiat, A., Zeitler, R., Vassanelli, S., Prodromakis, T., 2017. Sub 100 nW volatile nano-metal-oxide memristor as synaptic like encoder of neuronal spikes. Scientific Reports, in press. [preprint arXiv version]

J15. Li, Q., Salaoru, I., Khiat, A., Xu, H., Prodromakis, T., 2017. Correlated resistive/capacitive state variability in solid TiO2 based memory devices. Journal of Applied Physics A 123:372. doi: 10.1007/s00339-017-0991-5

J14. Gupta, I., Serb, A., Berdan, R., Khiat, A., Prodromakis T., 2017. Volatility Characterisation for RRAM devices. IEEE Electron Device letters 38(1): 28-31. doi: 10.1109/LED.2016.2631631

J13. Gupta, I., Serb, A., Khiat, A., Zeitler, R., Vassanelli, S., Prodromakis, T., 2016. Real-time encoding and compression of neuronal spikes by metal-oxide memristors. Nature Communications 7, 12805. doi: 10.1038/ncomms12805

J12. Brivio, S., Covi, E., Serb, A., Prodromakis, T., Fanciulli, M., Spiga, S., 2016. Experimental study of gradual/abrupt dynamics of HfO2-based memristive devices. Applied Physics Letters 109, 133504. doi: 10.1063/1.4963675

J11. Vassanelli, S., Mahmud, M., 2016. Trends and Challenges in Neuroengineering: Toward “Intelligent” Neuroprostheses through Brain-“Brain Inspired Systems” Communication. Front. Neurosci. 10. doi: 10.3389/fnins.2016.00438

J10. Mahmud, M., Vassanelli, S., 2016. Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges. Front. Neurosci. 10. doi: 10.3389/fnins.2016.00248

J09. Mahmud, M., Vassanelli, S., 2016. Differential Modulation of Excitatory and Inhibitory Neurons during Periodic Stimulation. Front. Neurosci. 10. doi: 10.3389/fnins.2016.00062

J08. Gupta, I., Serb, A., Khiat, A., Prodromakis, T., 2016. Improving Detection Accuracy of Memristor-Based Bio-Signal Sensing Platform. IEEE Transactions on Biomedical Circuits and Systems PP, 1–9. doi: 10.1109/TBCAS.2016.2580499

J07. Covi, E., Brivio, S., Serb, A., Prodromakis, T., Fanciulli, M., Spiga, S., 2016. Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning. Front. Neurosci. 10. doi: 10.3389/fnins.2016.00482

J06. Covi, E., Brivio, S., Fanciulli, M., Spiga, S., 2015. Synaptic potentiation and depression in Al:HfO2-based memristor. Microelectronic Engineering, Insulating Films on Semiconductors 2015 147, 41–44. doi: 10.1016/j.mee.2015.04.052

J05. Gupta, I., Serb, A., Berdan, R., Khiat, A., Regoutz, A., Prodromakis, T., 2015. A Cell Classifier for RRAM Process Development. IEEE Transactions on Circuits and Systems II: Express Briefs 62, 676–680. doi: 10.1109/TCSII.2015.2415276

J04. Berdan, R., Serb, A., Khiat, A., Regoutz, A., Papavassiliou, C., Prodromakis, T., 2015. A -Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays. IEEE Transactions on Electron Devices 62, 2190–2196. doi: 10.1109/TED.2015.2433676

J03. Trapatseli, M., Carta, D., Regoutz, A., Khiat, A., Serb, A., Gupta, I., Prodromakis, T., 2015. Conductive Atomic Force Microscopy Investigation of Switching Thresholds in Titanium Dioxide Thin Films. J. Phys. Chem. C 119, 11958–11964. doi: 10.1021/acs.jpcc.5b01672

J02. Li, Q., Serb, A., Prodromakis, T., Xu, H., 2015. A Memristor SPICE Model Accounting for Synaptic Activity Dependence. PLOS ONE 10, e0120506. doi: 10.1371/journal.pone.0120506

J01. Carta, D., Mountjoy, G., Regoutz, A., Khiat, A., Serb, A., Prodromakis, T., 2015. X-ray Absorption Spectroscopy Study of TiO2–x Thin Films for Memory Applications. J. Phys. Chem. C 119, 4362–4370. doi: 10.1021/jp511739h