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08/03/2023
Learning beyond sensations: how dreams organize neuronal representations
Semantic representations in higher sensory cortices form the basis for r...
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12/20/2022
Learning efficient backprojections across cortical hierarchies in real time
Models of sensory processing and learning in the cortex need to efficien...
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10/27/2021
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
The response time of physical computational elements is finite, and neur...
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09/09/2021
Memory semantization through perturbed and adversarial dreaming
Classical theories of memory consolidation emphasize the importance of r...
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02/08/2021
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
We formulate the search for phenomenological models of synaptic plastici...
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12/30/2019
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
We present first experimental results on the novel BrainScaleS-2 neuromo...
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12/24/2019
Fast and deep neuromorphic learning with time-to-first-spike coding
For a biological agent operating under environmental pressure, energy co...
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11/15/2019
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks
In the past few years, deep learning has transformed artificial intellig...
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10/26/2018
Dendritic cortical microcircuits approximate the backpropagation algorithm
Deep learning has seen remarkable developments over the last years, many...
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09/21/2018
Stochasticity from function - why the Bayesian brain may need no noise
An increasing body of evidence suggests that the trial-to-trial variabil...
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12/30/2017
Dendritic error backpropagation in deep cortical microcircuits
Animal behaviour depends on learning to associate sensory stimuli with t...
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09/24/2017
Spiking neurons with short-term synaptic plasticity form superior generative networks
Spiking networks that perform probabilistic inference have been proposed...
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06/06/2016