Matteo Cartiglia

13 papers C 2Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. AICAS Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri
2023	J	`jnl`	Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. CoRR Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri
2023	—	`conf`	SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. BioCAS Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
2023	J	`jnl`	SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders. CoRR Shyam Narayanan, Matteo Cartiglia, Arianna Rubino, Charles Lego, Charlotte Frenkel, Giacomo Indiveri
2023	J	`jnl`	Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits. Neuromorph. Comput. Eng. Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca
2022	J	`jnl`	Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits. CoRR Lyes Khacef, Philipp Klein, Matteo Cartiglia, Arianna Rubino, Giacomo Indiveri, Elisabetta Chicca
2022	C	`conf`	Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. ISCAS Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
2022	J	`jnl`	Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. CoRR Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand
2021	J	`jnl`	An error-propagation spiking neural network compatible with neuromorphic processors. CoRR Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
2021	—	`conf`	Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. AICAS Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
2021	J	`jnl`	Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. CoRR Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
2020	—	`conf`	An error-propagation spiking neural network compatible with neuromorphic processors. AICAS Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
2018	C	`conf`	A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset. ISCAS Raphaela Kreiser, Matteo Cartiglia, Julien N. P. Martel, Jörg Conradt, Yulia Sandamirskaya