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MeM-Scales Publications

  1. 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)
  2. 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)
  3. 2022 Roadmap on Neuromorphic Computing and Engineering, D.V. Christensen, R. Dittmann, B. Linares-Barranco, et al., Neuromorphic Computing and Engineering, 2022 (CSIC, UZH), 2022
  4. Network insensitivity to parameter noise via adversarial regularization. Julian Büchel, Fynn Faber, Dylan R. Muir, xarchiv 2021 (SynSense)
  5. 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)
  6. Towards a generalized theory comprising digital, neuromorphic and unconventional computing, Herbert Jaeger, Neuromorphic Computing and Engineering, 2021(UG)
  7. 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)
  8. 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)
  9. 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, in press 2021. Available on arxiv (CEA)
  10. 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),
  11. 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.