Matteo Cartiglia

Position:
Postdoc -- ended Dec 2023
Email:
Work phone:
I am a PhD student at INI interested in two main lines of research. Firstly I am developing spiking neural network models that can be trained using biologically plausible
learning rules instead of the state-of-art back-propagation algorithm. Secondly, I am interested in interfacing event-based computation with biological neurons by creating a new class of recording devices.

Supervisor

Giacomo Indiveri

Publications

2023

2022

2021

  • Dennler, Nik and Haessig, Germain and Cartiglia, Matteo and Indiveri, Giacomo Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS) 1-4, 2021

2020

  • Cartiglia, M; Haessig, G; Indiveri G An error-propagation spiking neural network compatible with neuromorphic processors, 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020 pdf

2018

  • Cartiglia, M.; Kreiser, R. & Sandamirskaya, Y. A Neuromorphic approach to path integration: a head direction spiking neural network with visually-driven reset, IEEE Symposium for Circuits and Systems, ISCAS, 2018 pdf