Author

Matthias Loidolt

Max Planck SocietyORCID 0000-0003-3646-7190Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Viola PriesemanniD· 2 shared Adam M. PackeriD· 1 shared James M RowlandiD· 1 shared Jonas DehningiD· 1 shared Joshua Keeling· 1 shared Lucas RudeltiD· 1 shared Robert M. LeesiD· 1 shared Thijs L. van der PlasiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Viola PriesemannORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 28, 2021

Perception and propagation of activity through the cortical hierarchy is determined by neural variability

James M Rowland, Thijs L. van der Plas, Matthias Loidolt…·Adam M. Packer

The paper investigates how neural variability in the somatosensory cortex affects the perception and propagation of activity between brain regions in mice.

8 citations

mouseimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintSep 15, 2020

Sequence memory in recurrent neuronal network can develop without structured input

Matthias Loidolt, Lucas Rudelt, Viola Priesemann

The paper shows that recurrent neural networks can develop sequence memory without structured input, using STDP and synaptic competition to create pathways for faster learning.

8 citations

statistical modelmachine learning (classical)

𝕏 PostBluesky