806 citations · 1k across the 10 of their papers we have counts for
10 papers
Combining expert knowledge and neural networks to model environmental stresses in agriculture
Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein +1
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses. We first d…
Recurrent Point Processes for Dynamic Review Models
Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev +3
Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance. Here, we incorporate temp…
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional integration of prior knowledge…
Conditions for wave trains in spiking neural networks
Johanna Senk, Karolína Korvasová, Jannis Schuecker +4
Spatiotemporal patterns such as traveling waves are frequently observed in recordings of neural activity. The mechanisms underlying the generation of such patterns are largely unkn…
Integration of continuous-time dynamics in a spiking neural network simulator
Jan Hahne, David Dahmen, Jannis Schuecker +4
Contemporary modeling approaches to the dynamics of neural networks consider two main classes of models: biologically grounded spiking neurons and functionally inspired rate-based…
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…
Fundamental activity constraints lead to specific interpretations of the connectome
Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada +2
The continuous integration of experimental data into coherent models of the brain is an increasing challenge of modern neuroscience. Such models provide a bridge between structure…
Modulated escape from a metastable state driven by colored noise
Jannis Schuecker, Markus Diesmann, Moritz Helias
Many phenomena in nature are described by excitable systems driven by colored noise. The temporal correlations in the fluctuations hinder an analytical treatment. We here present a…
Reduction of colored noise in excitable systems to white noise and dynamic boundary conditions
Jannis Schuecker, Markus Diesmann, Moritz Helias
A recent study on the effect of colored driving noise on the escape from a metastable state derives an analytic expression of the transfer function of the leaky integrate-and-fire…