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Robert Legenstein

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

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Aug 14, 2024
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Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing

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Apr 22, 2024
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Adversarially Robust Spiking Neural Networks Through Conversion

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Nov 15, 2023
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Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models

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Jul 29, 2022
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Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity

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May 23, 2022
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Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks

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Apr 08, 2021
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Oscillatory background activity implements a backbone for sampling-based computations in spiking neural networks

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Jun 19, 2020
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Embodied Synaptic Plasticity with Online Reinforcement learning

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Mar 03, 2020
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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype

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Mar 20, 2019
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Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets

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Jan 25, 2019
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