- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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High-performance deep spiking neural networks with 0.3 spikes per neuron ; volume:15 ; number:1 ; day:9 ; month:8 ; year:2024 ; pages:1-13 ; date:12.2024
Nature Communications ; 15, Heft 1 (9.8.2024), 1-13, 12.2024
- Creator
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Stanojevic, Ana
Woźniak, Stanisław
Bellec, Guillaume
Cherubini, Giovanni
Pantazi, Angeliki
Gerstner, Wulfram
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41467-024-51110-5
- URN
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urn:nbn:de:101:1-2410291004592.567745193357
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
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Associated
- Stanojevic, Ana
- Woźniak, Stanisław
- Bellec, Guillaume
- Cherubini, Giovanni
- Pantazi, Angeliki
- Gerstner, Wulfram
- SpringerLink (Online service)
Other Objects (12)
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Synfire graphs: from spike patterns to automata of spiking neurons
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Effect of burst spikes on linear and nonlinear signal transmission in spiking neurons
Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics
All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons
Spike‐Enabled Audio Learning in Multilevel Synaptic Memristor Array‐Based Spiking Neural Network
Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
Supervised learning in spiking neurons
Theory of spike correlations: a formal description of input and output correlations in spiking neurons
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding
SpikeShip: a method for fast, unsupervised discovery of high-dimensional neural spiking patterns
First spike latency sensitivity of spiking neuron models
Synfire graphs: from spike patterns to automata of spiking neurons
Spiking Neurons with Neural Dynamics Implemented Using Stochastic Memristors
Effect of burst spikes on linear and nonlinear signal transmission in spiking neurons
Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics
All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons
Spike‐Enabled Audio Learning in Multilevel Synaptic Memristor Array‐Based Spiking Neural Network
Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
Supervised learning in spiking neurons
Theory of spike correlations: a formal description of input and output correlations in spiking neurons
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding
SpikeShip: a method for fast, unsupervised discovery of high-dimensional neural spiking patterns
First spike latency sensitivity of spiking neuron models
Synfire graphs: from spike patterns to automata of spiking neurons
Spiking Neurons with Neural Dynamics Implemented Using Stochastic Memristors
Effect of burst spikes on linear and nonlinear signal transmission in spiking neurons
Toward a Lossless Conversion for Spiking Neural Networks with Negative‐Spike Dynamics
All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons
Spike‐Enabled Audio Learning in Multilevel Synaptic Memristor Array‐Based Spiking Neural Network
Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
Supervised learning in spiking neurons
Theory of spike correlations: a formal description of input and output correlations in spiking neurons
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding