1. Toward a formal theory of computing systems made out of whatever physics offers. Herbert Jaeger, Beatriz Noheda, Wilfred G. van der Wiel, Nature Communications 14, 4911 (2023) (RUG)
2. Neuromorphic object localization using resistive memories and ultrasonic transducers. F. Moro, E. Hardy, B. Fain, T. Dalgaty, P. Clémencon, A. De Prà, E. Esmanhotto, N. Castellani, F. Blard, F. Gardien, T. Masquida, F. Rummens, D. Esseni, J. Casas, G. Indiveri, M. Payvand, and E. Vianello, Nature communications, vol.13, June 2022. (CEA, ETH)
3. A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP. Luis A. Camuñas-Mesa, Elisa Vianello, Carlo Reita, Teresa Serrano-Gotarredona, and Bernabé Linares-Barranco, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (Volume: 12, Issue: 4, December 2022) (CSIS, CEA)
4. MEMSORN: Self-organization of an inhomogeneous memristive hardware for sequence learning. M. Payvand, F. Moro, K. Nomura, T. Dalgaty, E. Vianello, Y. Nishi, and G. Indiveri, Nature Communications, vol.13, June 2022. (ETH, CEA)
5. Synaptic metaplasticity with multi-level memristive devices. Simone D’Agostino, Filippo Moro, Tifenn Hirtzlin, Julien Arcamone, Niccolò Castellani, Damien Querlioz, Melika Payvand, and Elisa Vianello, IEEE-CAS International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2023 (CEA, ETH)
6. Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights. Melika Payvand, Simone D’Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri, Elisa Vianello, International Conference on Neuromorphic Systems (ICONS) (ETH, CEA)
7. Physics-based compact modelling of the analog dynamics of HfOx resistive memories. F Vaccaro, S Brivio, S Perotto, A G Mauri, and S Spiga. Neuromorph. Comput. Eng. 2 021003 (2022) DOI 10.1088/2634-4386/ac7327 (CNR)
8. HfO2-based resistive switching memory devices for neuromorphic computing. S. Brivio, S. Spiga, and D. Ielmini. Neuromorph. Comput. Eng. 2 042001 (2022) DOI 10.1088/2634-4386/ac9012 (CNR)
9. The 2022 applied physics by pioneering women: a roadmap Chapter 14. Neuromorphic computing and devices. Begoña Abad et al 2023 J. Phys. D: Appl. Phys. 56 073001 (CNR, CEA)
10. An empirical study on the efficiency of Spiking Neural Networks with axonal synaptic delays and algorithm-hardware benchmarking. Alberto Patiño-Saucedo; Amirreza Yousefzadeh; Guangzhi Tang; Federico Corradi; Bernabé Linares-Barranco; Manolis Sifalakis. IEEE International Symposium on Circuits and Systems (ISCAS) 2023 (CSIC, IMEC_NL)
11. Marshalling Signals Dataset of Radar and Event-Based Camera for Sensory Fusion. Leon Müller, Manolis Sifalakis, Sherif Eissa, Amirreza Yousefzadeh, Paul Detterer, Sander Stuijk, and Federico Corradi. 2023 IEEE Radar Conference (RadarConf23) (IMEC_NL)
12. Physical modeling and design rules of analog Conductive Metal Oxide-HfO2 ReRAM. D. F. Falcone et al. 2023 IEEE International Memory Workshop (IMW), Monterey, CA, USA, 2023, pp. 1-4, doi: 10.1109/IMW56887.2023.10145936.  (IBM)
13. Filamentary TaOx/HfO2 ReRAM Devices for Neural Networks Training with Analog In‐Memory Computing. T. Stecconi, et al., Advanced Electronic Materials 8.10 (2022), doi: 10.1002/aelm.202200448 
14. PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials, Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, and Melika Payvand, IEEE International Symposium on Circuits and Systems (ISCAS), 2021ISCAS 2021 (CEA, UZH)
    https://arxiv.org/abs/2102.07260
15. Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices. Mohan, C., Camuñas Mesa, L.A., Rosa Utrera, J.M.d.l., Serrano Gotarredona, M.T. y Linares Barranco, B. IEEE International Symposium on Circuits and Systems (ISCAS), 2021 (CSIC)
    https://arxiv.org/abs/2103.01271
16. 2022 Roadmap on Neuromorphic Computing and Engineering, D.V. Christensen, R. Dittmann, B. Linares-Barranco, et al., Neuromorphic Computing and Engineering, 2022 (CSIC, UZH)
    http://iopscience.iop.org/article/10.1088/2634-4386/ac4a83, 2022
17. Network insensitivity to parameter noise via adversarial regularization. Julian Büchel, Fynn Faber, Dylan R. Muir, xarchiv 2021 (SynSense)
    https://arxiv.org/abs/2105.05956
18. Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, and Giacomo Indiveri, IEEE Transactions on Circuit and Systems – I: vol. 68, no. 1, January 2021 (UZH)
19. Towards a generalized theory comprising digital, neuromorphic and unconventional computing, Herbert Jaeger, Neuromorphic Computing and Engineering, 2021(UG)
    https://iopscience.iop.org/article/10.1088/2634-4386/abf151
20. Nonlinear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks, Stefano Brivio, Denys R. B. Ly, Elisa Vianello, and Sabina Spiga, Frontiers of Neuroscience 15, 580909 (2021). doi: 10.3389/fnins.2021.580909 Gold open access (CNR, CEA)
21. Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications, Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, and Giacomo Indiveri (UZH, CSIC)
22. In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling, Thomas Dalgaty, Niccolo Castellani, Clément Turck, Kamel-Eddine Harabi, Damien Querlioz, and Elisa Vianello, Nature Electronics, 4, pages151–161 (2021) (CEA)
23. Neuromorphic Low-Power Inference on Memristive Crossbars with On-Chip Offset Calibration, C. Mohan, L. Camuñas-Mesa, J. M. de la Rosa, E. Vianello, T. Serrano-Gotarredona, and B. Linares-Barranco,  IEEE Access, vol. 9, pp. 38043-38061, 2021. Gold Open Access (CSIC, CEA), https://ieeexplore.ieee.org/document/9367145
24. Experimental Body-Input Three-Stage DC Offset Calibration Scheme for Memristive Crossbar, C. Mohan et al., 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 2020, pp. 1-5, (CSIC, CEA) doi:10.1109/ISCAS45731.2020.9180811. http://arxiv.org/abs/2103.02651