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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 accepted for publication at ISCAS 2021 (UZH, CEA) https://arxiv.org/abs/2102.07260
  2. Experimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar, Charanraj Mohan, L.A. Camuñas-Mesa, Elisa Vianelloy, Carlo Reitay, José M. de la Rosa, Teresa Serrano-Gotarredona and Bernabé Linares-Barranco, accepted for publication at ISCAS 2021 (CSIC, CEA)
  3. 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)
  4. 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)
  5. 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)
  6. 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) http://export.arxiv.org/pdf/2001.11426