Author

Henri Riihimäki

University of AberdeenORCID 0000-0003-2633-0457Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Christoph PokornyiD· 1 shared Jakob TheorelliD· 1 shared Jan A. HillertiD· 1 shared Jānis LazovskisiD· 1 shared Jason P. SmithiD· 1 shared Michael ReimanniD· 1 shared Ran LeviiD· 1 shared Ryan RamanujamiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperNeuroscience

Christoph PokornyORCID

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2 papers

Recent·Most cited

NeurosciencePLoS ONEPeer-reviewedJan 12, 2022

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

Michael Reimann, Henri Riihimäki, Jason P. Smith…·Ran Levi

The paper shows that synaptic connectivity influences neuronal stimulus encoding, revealing two distinct coding strategies in a microcircuit.

12 citations

electronic health recordssimulation

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedJul 29, 2020

A topological data analysis based classification method for multiple measurement

Henri Riihimäki, Wojciech Chachólski, Jakob Theorell…·Ryan Ramanujam

This paper introduces a topological data analysis classifier for repeated measurements, achieving high accuracy in two case studies and demonstrating its utility as a feature selection tool.

27 citations

statistical modelbenchmarking

𝕏 PostBluesky