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Self-supervised Learning Through Efference Copies
Publications
A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing
2022 roadmap on neuromorphic computing and engineering
Analysis of the computational strategy of a detailed laminar cortical microcircuit model for solving the image-change-detection task
Reservoirs learn to learn
Visualizing a joint future of neuroscience and neuromorphic engineering
Slow processes of neurons enable a biologically plausible approximation to policy gradient
One-shot learning with spiking neural networks
A solution to the learning dilemma for recurrent networks of spiking neurons
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