Sander Bohte (CWI) - Effective and Efficient Computation with Multiple-timescale Spiking RNNs

Sander Bohte (CWI) - Effective and Efficient Computation with Multiple-timescale Spiking RNNs

ICONS 2020 Keynote Presentation by Sander Bohte: Computing with Spiking NeuronsПодробнее

ICONS 2020 Keynote Presentation by Sander Bohte: Computing with Spiking Neurons

EMNIST spiking network first convolution layer featuresПодробнее

EMNIST spiking network first convolution layer features

Train deep neural networks for multiple atom speciesПодробнее

Train deep neural networks for multiple atom species

Timescales of neural activity: their inference, control, and relevance, Anna Levina, TübingenПодробнее

Timescales of neural activity: their inference, control, and relevance, Anna Levina, Tübingen

Dynamic action inference with recurrent spiking neural networks [ICANN 2021 Talk]Подробнее

Dynamic action inference with recurrent spiking neural networks [ICANN 2021 Talk]

Tutorial: Spiking Neural Networks: A Practical Approach for Spatio-temporal Data ClassificationПодробнее

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Minibatch Processing in Spiking Neural NetworksПодробнее

Minibatch Processing in Spiking Neural Networks

Two Distinct Neural Timescales for Predictive Speech Processing.Подробнее

Two Distinct Neural Timescales for Predictive Speech Processing.

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