51 citations · 140 across the 14 of their papers we have counts for
16 papers
Rewiring of adult neural networks - learning from structural plasticity across multiple scales
Michael Fauth, Han Lu, Jannik Luboeinski +36
Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…
SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets
Barna Zajzon, Younes Bouhadjar, Maxime Fabre +5
Sequential structure is a key feature of multiple domains of natural cognition and behavior, such as language, movement and decision-making. Likewise, it is also a central property…
Machine learning inspired models for Hall effects in non-collinear magnets
Jonathan Kipp, Fabian R. Lux, Thorben Pürling +4
The anomalous Hall effect has been front and center in solid state research and material science for over a century now, and the complex transport phenomena in nontrivial magnetic…
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection
Jinyang Yu, Sami Hamdan, Leonard Sasse +2
Mutation validation (MV) is a recently proposed approach for model selection, garnering significant interest due to its unique characteristics and potential benefits compared to th…
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices
Bruno Golosio, Jose Villamar, Gianmarco Tiddia +6
Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses, but also ho…
Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks
Cristian Jimenez Romero, Alper Yegenoglu, Aarón Pérez Martín +2
Social insects such as ants communicate via pheromones which allows them to coordinate their activity and solve complex tasks as a swarm, e.g. foraging for food. This behavior was…