activity
20202025
most citedFast simulations of highly-connected spiking cortical models using GPUs

48 citations · 84 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DC2025

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs

Bruno Golosio, Gianmarco Tiddia, José Villamar +10

Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex sys…

cs.PF2025★ 3 cited

Constructive community race: full-density spiking neural network model drives neuromorphic computing

Johanna Senk, Anno C. Kurth, Steve Furber +18

The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a mo…

q-bio.NC2023★ 1 cited

A theoretical framework for learning through structural plasticity

Gianmarco Tiddia, Luca Sergi, Bruno Golosio

A growing body of research indicates that structural plasticity mechanisms are crucial for learning and memory consolidation. Starting from a simple phenomenological model, we expl…

q-bio.NC2023★ 10 cited

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices

Bruno Golosio, Jose Villamar, Gianmarco Tiddia +6

Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses, but also ho…

q-bio.NC2022★ 5 cited

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

Chiara De Luca, Leonardo Tonielli, Elena Pastorelli +8

Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in po…

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…

q-bio.NC2020★ 17 cited

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

Bruno Golosio, Chiara De Luca, Cristiano Capone +5

The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to…