Author

Lotta Lammi

Aalto University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Annika HulténiD· 2 shared Marijn van VlietiD· 2 shared Riitta H. SalmeliniD· 2 shared Sasa L. KivisaariiD· 2 shared Tiina Lindh‐KnuutilaiD· 2 shared Ali FaisaliD· 1 shared Gayane GhazaryaniD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Annika HulténORCID

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2 papers

Recent·Most cited

Cortical time-course of evidence accumulation during semantic processing

Gayane Ghazaryan, Marijn van Vliet, Lotta Lammi, Tiina Lindh‐Knuutila, Sasa L. Kivisaari, Annika Hultén, Riitta H. Salmelin

The paper uses magnetoencephalography and machine learning to track semantic processing dynamics, showing gradual accumulation of semantic information leading to a variable plateau across individuals.

Communications Biology · Dec 8, 2023Peer-reviewedNeuroscience

Cracking the problem of neural representations of abstract words: grounding word meanings in language itself

Annika Hultén, Marijn van Vliet, Lotta Lammi, Sasa L. Kivisaari, Tiina Lindh‐Knuutila, Ali Faisal, Riitta H. Salmelin

The paper models semantic spaces using word co-occurrence statistics to decode brain activity related to abstract words, finding that abstractness emerges from language patterns and correlates with specific brain regions.

bioRxiv · Aug 13, 2018 · PreprintNeuroscience