Chiara De Luca

According to our database, Chiara De Luca authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hardware-Aware Attractor Dynamics in Neuromorphic Systems: Compensating for Device Mismatch through Network Design.

Leonardo Martinelli, Chiara De Luca, Giacomo Indiveri

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Mixed-signal implementation of feedback-control optimizer for single-layer Spiking Neural Networks.

Jonathan Haag, Christian Metzner, Dmitrii Zendrikov, Giacomo Indiveri, Benjamin F. Grewe, Chiara De Luca, Matteo Saponati

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Neuromorphic Spiking Ring Attractor for Proprioceptive Joint-State Estimation.

Federica Ferrari, Flavia Davidhi, Bernard Maacaron, Alberto Motta, Luuk van Keeken, Elisa Donati, Giacomo Indiveri, Chiara De Luca, Chiara Bartolozzi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning.

Irene Ambrosini, Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone, Luna Gava, Giacomo Indiveri, Chiara De Luca, Chiara Bartolozzi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025

A neuromorphic continuous soil monitoring system for precision irrigation.

Mirco Tincani, Khaled Kerouch, Umberto Garlando, Mattia Barezzi, Alessandro Sanginario, Giacomo Indiveri, Chiara De Luca

CoRR, September, 2025

Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing.

Chiara De Luca, Elisa Donati

CoRR, September, 2025

Continuous signal sparse encoding using analog neuromorphic variability.

Filippo Costa, Chiara De Luca

Neuromorph. Comput. Eng., 2025

A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks.

Matteo Saponati, Chiara De Luca, Giacomo Indiveri, Benjamin F. Grewe

Proceedings of the Neuro Inspired Computational Elements, 2025

2024

RED-SEA Project: Towards a new-generation European interconnect.

María Engracia Gómez, Julio Sahuquillo, Andrea Biagioni, Nikos Chrysos, Damien Berton, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Carlotta Chiarini, Chiara De Luca, Fabrizio Capuani, Adrián Castelló, Jose Duro, Eugenio Stabile, Enrique S. Quintana-Ortí, Pascale Bernier-Bruna, Claire Chen, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Manolis Katevenis, Sokratis Bartzis, Orestis Mousouros, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Miguel Sánchez de la Rosa, Gabriel Gomez-Lopez, Francisco Alfaro-Cortés, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz

Microprocess. Microsystems, 2024

Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection.

Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi, Alessandro Savino, Stefano Di Carlo, Giacomo Indiveri, Elisa Donati

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2022

NREM and REM: cognitive and energetic effects in thalamo-cortical sleeping and awake spiking model.

Leonardo Tonielli, Chiara De Luca, Elena Pastorelli, Cristiano Capone, Francesco Simula, Cosimo Lupo, Irene Bernava, Giulia De Bonis, Gianmarco Tiddia, Bruno Golosio, Pier Stanislao Paolucci

CoRR, 2022

2021

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep.

Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli, Giovanni Stegel, Gianmarco Tiddia, Giulia De Bonis, Pier Stanislao Paolucci

PLoS Comput. Biol., 2021

Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs.

Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, Elena Pastorelli, Francesco Simula, Pier Stanislao Paolucci

Frontiers Comput. Neurosci., 2021

2020

A new GPU library for fast simulation of large-scale networks of spiking neurons.

Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, Elena Pastorelli, Francesco Simula, Pier Stanislao Paolucci

CoRR, 2020

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience.

Bruno Golosio, Chiara De Luca, Cristiano Capone, Elena Pastorelli, Giovanni Stegel, Gianmarco Tiddia, Giulia De Bonis, Pier Stanislao Paolucci

CoRR, 2020