Author

Martina Lamberti

Lyon 1 UniversitéORCID 0000-0002-0517-3037Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Joost le FeberiD· 2 shared Sarah MarzeniD· 2 shared Aiden Gao· 1 shared Christopher WangiD· 1 shared Elianna Schimke· 1 shared Michel J. A. M. van PutteniD· 1 shared Tristan Kako· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersBiophysics

Joost le FeberORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintJan 12, 2026

Analyzing an organisms sensors using Maximum Entropy models with bias, variance, and confusion matrices

Christopher Wang, Elianna Schimke, Tristan Kako…·Sarah Marzen

The paper introduces a method using Maximum Entropy models to analyze biological sensors with bias, variance, and confusion matrices, offering computational efficiency and richer insights than mutual information.

DOI 10.64898/2026.01.12.698979

statistical model

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NeuroscienceJournal of Neural EngineeringPeer-reviewedFeb 1, 2025

The role of NMDA receptors in memory and prediction incultured neural networks

Martina Lamberti, Michel J. A. M. van Putten, Sarah Marzen, Joost le Feber

This study shows that NMDA receptor activation is essential for forming long-term memory traces in cultured neural networks, which contribute to predictive capabilities.

5 citations

experimental assay

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