Arianna Rubino

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Spiking Neural Networks

Biologically Plausible

Computational Models

Top Venues

IEEE Trans. Biomed. Circuits Syst.

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

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, Kris Myny
Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications. IEEE Trans. Biomed. Circuits Syst. 18 (1) (2024)
Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. CoRR (2023)
Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca
Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits. Neuromorph. Comput. Eng. 3 (4) (2023)
Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. AICAS (2023)
Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. CoRR (2023)
Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. BioCAS (2023)
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. CoRR (2022)
Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits. CoRR (2022)
Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. ISCAS (2022)
Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (1) (2021)
Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. CoRR (2020)
Arianna Rubino, Melika Payvand, Giacomo Indiveri
Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence. ICECS (2019)