Author

Jorge Martinez Armas

University of Notre DameORCID 0000-0002-9758-967XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Henry KennedyiD· 2 shared Kenneth KnoblauchiD· 2 shared Zoltán ToroczkaiiD· 2 shared Ana Rita Ribeiro GomesiD· 1 shared Botond MolnáriD· 1 shared Ferenc MolnáriD· 1 shared Mária Ercsey-RavasziD· 1 shared Szabolcs HorvátiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersNeuroscience

Henry KennedyORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

An information theoretic approach to community detection in dense cortical networks reveals a nested hierarchy

Jorge Martinez Armas, Kenneth Knoblauch, Henry Kennedy, Zoltán Toroczkai

The paper introduces an information-theoretic method to detect community structure in dense cortical networks, revealing a nested hierarchy of link and node communities in macaques.

bioRxiv · Aug 7, 2024 · PreprintNeuroscience

Predictability of cortical-cortical connections in the mammalian brain

Ferenc Molnár, Szabolcs Horvát, Ana Rita Ribeiro Gomes, Jorge Martinez Armas, Botond Molnár, Mária Ercsey-Ravasz, Kenneth Knoblauch, Henry Kennedy, Zoltán Toroczkai

The paper develops a machine learning framework to assess predictability in cortical interareal connections across macaque and mouse brains, finding significant predictability in medium and strong links.

Network Neuroscience · Nov 1, 2023Peer-reviewedNeuroscience