Výsledky vyhledávání - "Stanojevic, Ana"

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High-performance deep spiking neural networks with 0.3 spikes per neuron

Autor: Stanojevic, Ana, Woźniak, Stanisław, Bellec, Guillaume, Cherubini, Giovanni, Pantazi, Angeliki, Gerstner, Wulfram

Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks (SNNs) than artificial neural networks (ANNs). This is puzzling given th

Externí odkaz: http://arxiv.org/abs/2306.08744

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An Exact Mapping From ReLU Networks to Spiking Neural Networks

Autor: Stanojevic, Ana, Woźniak, Stanisław, Bellec, Guillaume, Cherubini, Giovanni, Pantazi, Angeliki, Gerstner, Wulfram

Deep spiking neural networks (SNNs) offer the promise of low-power artificial intelligence. However, training deep SNNs from scratch or converting deep artificial neural networks to SNNs without loss of performance has been a challenge. Here we propo

Externí odkaz: http://arxiv.org/abs/2212.12522

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File Classification Based on Spiking Neural Networks

Autor: Stanojevic, Ana, Cherubini, Giovanni, Moraitis, Timoleon, Sebastian, Abu

In this paper, we propose a system for file classification in large data sets based on spiking neural networks (SNNs). File information contained in key-value metadata pairs is mapped by a novel correlative temporal encoding scheme to spike patterns

Externí odkaz: http://arxiv.org/abs/2004.03953

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