89 citations · 293 across the 8 of their papers we have counts for
8 papers
A generalized neural tangent kernel for surrogate gradient learning
Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke
State-of-the-art neural network training methods depend on the gradient of the network function. Therefore, they cannot be applied to networks whose activation functions do not hav…
Input correlations impede suppression of chaos and learning in balanced rate networks
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh +2
Neural circuits exhibit complex activity patterns, both spontaneously and evoked by external stimuli. Information encoding and learning in neural circuits depend on how well time-v…
From Single Neurons to Behavior in the Jellyfish Aurelia aurita
Fabian Pallasdies, Sven Goedeke, Wilhelm Braun +1
Jellyfish nerve nets provide insight into the origins of nervous systems, as both their taxonomic position and their evolutionary age imply that jellyfish resemble some of the earl…
Dynamical learning of dynamics
Christian Klos, Yaroslav Felipe Kalle Kossio, Sven Goedeke +2
The ability of humans and animals to quickly adapt to novel tasks is difficult to reconcile with the standard paradigm of learning by slow synaptic weight modification. Here we sho…
Dynamics and computation in mixed networks containing neurons that accelerate towards spiking
Paul Manz, Sven Goedeke, Raoul-Martin Memmesheimer
Networks in the brain consist of different types of neurons. Here we investigate the influence of neuron diversity on the dynamics, phase space structure and computational capabili…
Growing Critical: Self-Organized Criticality in a Developing Neural System
Felipe Yaroslav Kalle Kossio, Sven Goedeke, Benjamin van den Akker +2
Experiments in various neural systems found avalanches: bursts of activity with characteristics typical for critical dynamics. A possible explanation for their occurrence is an und…
Functional methods for disordered neural networks
Jannis Schuecker, Sven Goedeke, David Dahmen +1
Neural networks of the brain form one of the most complex systems we know. Many qualitative features of the emerging collective phenomena, such as correlated activity, stability, r…
Optimal sequence memory in driven random networks
Jannis Schuecker, Sven Goedeke, Moritz Helias
Autonomous randomly coupled neural networks display a transition to chaos at a critical coupling strength. We here investigate the effect of a time-varying input on the onset of ch…