Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence. - Arianna Rubino; Melika Payvand; Giacomo Indiveri (ICECS, 2019)

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. - Arianna Rubino; Can Livanelioglu; Ning Qiao; Melika Payvand; Giacomo Indiveri (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. - Matteo Cartiglia; Arianna Rubino; Shyam Narayanan; Charlotte Frenkel; Germain Haessig; Giacomo Indiveri; Melika Payvand (ISCAS, 2022)

Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. - Arianna Rubino; Matteo Cartiglia; Melika Payvand; Giacomo Indiveri (AICAS, 2023)

SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. - Shyam Narayanan; Matteo Cartiglia; Arianna Rubino; Charles Lego; Charlotte Frenkel; Giacomo Indiveri (BioCAS, 2023)

Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits. - Lyes Khacef; Philipp Klein; Matteo Cartiglia; Arianna Rubino; Giacomo Indiveri; Elisabetta Chicca (Neuromorph. Comput. Eng., 2023)

TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration. - Hugh Greatorex; Ole Richter; Michele Mastella; Madison Cotteret; Philipp Klein; Maxime Fabre; Arianna Rubino; Willian Soares Girão; Junren Chen; Martin Ziegler 006; Laura Bégon-Lours; Giacomo Indiveri; et al. (CoRR, 2024)

Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications. - Ana Lebanov; Mauricio Velazquez Lopez; Florian De Roose; Nikolas P. Papadopoulos; Giacomo Indiveri; Arianna Rubino; Melika Payvand; Steve Smout; Myriam Willegems; Francky Catthoor; Jan Genoe; Paul Heremans; et al. (IEEE Trans. Biomed. Circuits Syst., 2024)