Publications

Publications associated to the Research Center

Year	Journal	Title	EAI Authors	Project
2023	Molecular Biology and Evolution	HaploBlocks: Efficient Detection of Positive Selection in Large Population Genomic Datasets	Benedikt Kirsch-Gerweck & Joachim Burger & Yoan Diekmann	09 - Deep Learning of natural selection in population genomic data
2023	CVPR	Initialization Noise in Image Gradients and Saliency Maps	Jan Disselhoff & Michael Wand & Ann-Christin Woerl &	01 - Statistics of physical processes
2023	Wiley Online Library	Audio Classification with Skyrmion Reservoirs	Robin Msiska &Jake Love & Karin Everschor-Sitte	02 - Learning with computational matter
2023	PubMed	Interfacing Biology and Electronics with Memristive Materials	Paschalis Gkoupidenis	02 - Learning with computational matter
2023	Advanced Materials	In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics	Paschalis Gkoupidenis	02 - Learning with computational matter
2023	The Journal of Chemical Physics	Toward a structural identification of metastable molecular conformations	Simon Lemcke & Michael Wand & Thomas Speck	01 - Statistics of physical processes
2022	Methods in Ecology and Evolution	CollembolAI, a macrophotography and computer-vision workflow to digitize and characterize samples of soil invertebrates communities preserved in fluid	Stanislav Sys & Stephan Weißbach & Susanne Gerber	03 - Biological adaptation as statistical learning
2022	arXiv	Audio Classification with Skyrmion Reservoirs	Jake Love & Karin Everschor-Sitte	02 - Learning with computational matter
2022	Nature electronics	An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing	Paschalis Gkoupidenis	02 - Learning with computational matter
2022	Nature electronics	Artificial neurons emulate biological counterparts to enable synergetic operation	Paschalis Gkoupidenis	02 - Learning with computational matter
2022	ScienceAdvances	An artificial remote tactile device with 3D depth-of-field sensation	Paschalis Gkoupidenis	02 - Learning with computational matter
2022	Oxford	Layer- and cell-type-specific differences in neural activity in mouse barrel cortex during a whisker detection task	Steffen Albrecht & Heiko Luhmann & Maik C. Stüttgen	07 - How emergent is the brain?
2022	Plos One	Deep neural networks to recover unknown physical parameters from oscillating time series	Stefan Kramer & Dmitry Budker	08 - Application of machine learning algorithms to search for dark-matter signals in spectroscopic data
2021	Journal of Magnetism and Magnetic Materials	The promise of spintronics for unconventional computing	Karin Everschor-Sitte	02 - Learning with computational matter
2021	Topics in Applied Phyiscs	Current-Induced Dynamics of Chiral Magnetic Structures: Creation, Motion, and Applications	Karin Everschor-Sitte	02 - Learning with computational matter
2021	Communications in Applied Mathematics and Computational Science	Scalable computational measures for entropic detection of latent relations and their applications to magnetic imaging	Illia Horenko & Davi R. Rodrigues & Karin Everschor-Sitte	02 - Learning with computational matter
2021	Physical Review Applied	Nonlinear dynamics of topological ferromagnetic textures for frequency multiplication	Davi R. Rodrigues & Karin Everschor-Sitte	02 - Learning with computational matter
2021	arXiv	Task Agnostic Metrics for Reservoir Computing	Jake Love & Karin Everschor-Sitte	02 - Learning with computational matter
2021	Biological Journal of the Linnean Society	Photoperiod is an important seasonal selection factor in Chironomus riparius	Cosima Caliendo & Susanne Gerber & Markus Pfenninger	03 - Biological adaptation as statistical learning
2021	iScience	A deeper look into natural sciences with physics-based and data-driven measures	Susanne Gerber & Karin Everschor-Sitte & Illia Horenko & Davi R. Rodrigues	02 - Learning with computational matter & 03 - Biological adaptation as statistical learning & 06 - Computational performance of autistic-like networks
2021	Scientific Reports	Clustering and control for adaptation uncovers time-warped spike time patterns in cortical networks in vivo	Illia Horenko & Heiko Luhmann	07 - How emergent is the brain?
2021	BMC Genomics	Reliability of genomic variants across different next-generation sequencing platforms and bioinformatic processing pipelines	Joachim Burger & Karin Everschor-Sitte & Susanne Gerber & Markus Pfenninger & Stephan Weißbach	03 - Biological adaptation as statistical learning
2021	eLife	Genomic basis for drought resistance in European beech forests threatened by climate change	Cosima Caliendo & Susanne Gerber & Markus Pfenninger	03 - Biological adaptation as statistical learning
2021	PubMed	Organic neuromorphic electronics for sensorimotor integration and learning in robotics	Paschalis Gkoupidenis	02 - Learning with computational matter
2020	Neural Computation	On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning	Illia Horenko	07 - How emergent is the brain?
2020	Physical Review Applied	Reservoir Computing with Random Skyrmion Textures	Karin Everschor-Sitte & Daniele Pinna	02 - Learning with computational matter
2020	Journal of Physics D: Applied Physics	The 2020 magnetism roadmap	Karin Everschor-Sitte	02 - Learning with computational matter
2020	MRS Bulletin	Organic neuromorphic devices: Past, present, and future challenges	Paschalis Gkoupidenis	02 - Learning with computational matter
2020	MRS Bulletin	Organic materials and devices for brain-inspired computing: From artificial implementation to biophysical realism.	Paschalis Gkoupidenis	02 - Learning with computational matter
2020	Physical Review B	Spin-transfer torque driven motion, deformation, and instabilities of magnetic skyrmions at high currents	Karin Everschor-Sitte & Davi R. Rodrigues	02 - Learning with computational matter
2020	Physical Review B	Facilitating domain wall injection in magnetic nanowires by electrical means	Karin Everschor-Sitte & Davi R. Rodrigues	02 - Learning with computational matter
2020	Nature Electronics	Neuromorphic spintronics	Karin Everschor-Sitte	02 - Learning with computational matter
2020	Nature Communications	A specific prelimbic-nucleus accumbens pathway controls resilience versus vulnerability to food addiction	Susanne Gerber & Mohit Navandar	03 - Biological adaptation as statistical learning
2020	Science Advances	Low-cost scalable discretization, prediction and feature selection for complex systems	Susanne Gerber & Illia Horenko & Mohit Navandar	03 - Biological adaptation as statistical learning & 07 - How emergent is the Brain?
2020	Physical Review B	Chiral excitations of magnetic droplet solitons driven by their own inertia	Davi R. Rodrigues	02 - Learning with computational matter
2020	Applied Physics Reviews	Electrolyte-gated transistors for synaptic electronics, neuromorphic computing and adaptable biointerfacing, Special Issue on Brain-inspired Computing	Paschalis Gkoupidenis	02 - Learning with computational matter
2019	Nature Nanotechnology	Thermal skyrmion diffusion used in a reshuffler device	Karin Everschor-Sitte & Mathias Kläui & Daniele Pinna	02 - Learning with computational matter