5 citations · 14 across the 6 of their papers we have counts for
6 papers
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
Aaron Spieler, Nasim Rahaman, Georg Martius +2
Biological cortical neurons are remarkably sophisticated computational devices, temporally integrating their vast synaptic input over an intricate dendritic tree, subject to comple…
Environmental variability and network structure determine the optimal plasticity mechanisms in embodied agents
Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina
The evolutionary balance between innate and learned behaviors is highly intricate, and different organisms have found different solutions to this problem. We hypothesize that the e…
When to be critical? Performance and evolvability in different regimes of neural Ising agents
Sina Khajehabdollahi, Jan Prosi, Emmanouil Giannakakis +2
It has long been hypothesized that operating close to the critical state is beneficial for natural, artificial and their evolutionary systems. We put this hypothesis to test in a s…
Assessing aesthetics of generated abstract images using correlation structure
Sina Khajehabdollahi, Georg Martius, Anna Levina
Can we generate abstract aesthetic images without bias from natural or human selected image corpi? Are aesthetic images singled out in their correlation functions? In this paper we…
The dynamical regime and its importance for evolvability, task performance and generalization
Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis +2
It has long been hypothesized that operating close to the critical state is beneficial for natural and artificial systems. We test this hypothesis by evolving foraging agents contr…
Estimations by stable motions and applications
Anirban Das, Manfred Denker, Anna Levina +1
We propose a nonparametric parameter estimation of confidence intervals when the underlying has large or infinite variance. We explain the method by a simple numerical example and…