Author

F. Reimers

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#machine learning Preprint Sep 2026

Benchmarking the Connectomes of Caenorhabditis elegans within the Reservoir Computing Framework

The results show that the biological wiring and a bio-informed configuration of input and output nodes of the reservoirs do not necessarily lead to better performance and it becomes clear that the results depend a lot on the configuration of the reservoir and the way the connectome has been derived from the organism.

F. Reimers, O. H. Ramstad, Aliaksandr Hubin et al. · 0 citations

#machine learning Open access Sep 2026

Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an Open-Ended Substrate

We study an in silico substrate in which every pixel of a two-channel cellular-automata grid carries a tiny neural network (an agent) that senses its Moore neighbourhood. A cell persists only by self-replication: a living neighbour is cloned, and its weights are mutated by a uniform perturbation, so that phenotype (cel...

S. Jain, F. Reimers, Stefano Nichele · Journal of Imaging · 0 citations