activity
20192026
most citedReal-Time Cortical Simulation on Neuromorphic Hardware

61 citations · 65 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection

Luca Peres, Giulia D'Angelo, Chiara Bartolozzi +1

Neuromorphic vision systems operate under strict constraints on bandwidth, memory, and energy, particularly at the edge, motivating early mechanisms for data reduction and selectiv…

cs.SD2026

A Neuromorphic Trigger for Efficient Audio Event Detection

Benjamin Hatton, Oliver Rhodes, Luca Peres

Efficient processing of continuous audio streams remains a key challenge for real-time and resource-constrained systems. This paper introduces a neuromorphic trigger for audio even…

cs.CV2025

Neuromorphic Eye Tracking for Low-Latency Pupil Detection

Paul Hueber, Luca Peres, Florian Pitters +2

Eye tracking for wearable systems demands low latency and milliwatt-level power, but conventional frame-based pipelines struggle with motion blur, high compute cost, and limited te…

cs.AI2025★ 1 cited

Hyperdimensional Decoding of Spiking Neural Networks

Cedrick Kinavuidi, Luca Peres, Oliver Rhodes

This work presents a novel spiking neural network (SNN) decoding method, combining SNNs with Hyperdimensional computing (HDC). The goal is to create a decoding method with high acc…

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…

cs.ET2019★ 61 cited

Real-Time Cortical Simulation on Neuromorphic Hardware

Oliver Rhodes, Luca Peres, Andrew G. D. Rowley +4

Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelisation scheme and SpiNNaker neuro…