Matteo Cartiglia

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Topics

Spiking Neural Networks

Computational Models

Synaptic Plasticity

Top Venues

Publications

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)
Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
An error-propagation spiking neural network compatible with neuromorphic processors. CoRR (2021)
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. AICAS (2021)
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. CoRR (2021)
Matteo Cartiglia, Germain Haessig, Giacomo Indiveri
An error-propagation spiking neural network compatible with neuromorphic processors. AICAS (2020)
Raphaela Kreiser, Matteo Cartiglia, Julien N. P. Martel, Jörg Conradt, Yulia Sandamirskaya
A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset. ISCAS (2018)