activity
20202026
most citedFast simulations of highly-connected spiking cortical models using GPUs

48 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Neuromorphic Spiking Ring Attractor for Proprioceptive Joint-State Estimation

Federica Ferrari, Flavia Davidhi, Bernard Maacaron +6

Maintaining stable internal representations of continuous variables is fundamental for effective robotic control. Continuous attractor networks provide a biologically inspired mech…

q-bio.NC2025

State-dependent brain responsiveness, from local circuits to the whole brain

A. Destexhe, J Goldman, N. Tort-Colet +32

The objective of this paper is to review physiological and computational aspects of the responsiveness of the cerebral cortex to stimulation, and how responsiveness depends on the…

cs.ET2024★ 6 cited

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

Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi +4

Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients…

q-bio.NC2021★ 16 cited

Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse

Cristiano Capone, Chiara De Luca, Giulia De Bonis +11

Thanks to novel, powerful brain activity recording techniques, we can create data-driven models from thousands of recording channels and large portions of the cortex, which can imp…

q-bio.NC2020★ 48 cited

Fast simulations of highly-connected spiking cortical models using GPUs

Bruno Golosio, Gianmarco Tiddia, Chiara De Luca +3

Over the past decade there has been a growing interest in the development of parallel hardware systems for simulating large-scale networks of spiking neurons. Compared to other hig…