Author

A. Gosztolai

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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Biophysics· 2 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Organism:Drosophila· 1 Organism:E. coli· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

M. Barahona· 2 shared D. Morales· 1 shared H. Rhodin· 1 shared J. A. Carrillo· 1 shared M. P. Abrate· 1 shared P. Fua· 1 shared P. Ramdya· 1 shared S. Gunel· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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2 shared papersBiophysics

M. Barahona

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

LiftPose3D, a deep learning-based approach for transforming 2D to 3D pose in laboratory animals

A. Gosztolai, S. Gunel, V. L. Rios, M. P. Abrate, D. Morales, H. Rhodin, P. Fua, P. Ramdya

LiftPose3D transforms 2D to 3D pose in laboratory animals using a deep learning approach, avoiding the need for multiple cameras and calibration.

bioRxiv · Sep 18, 2020Animal Behavior & Cognition

Cellular memory enhances bacterial chemotactic navigation in rugged environments

A. Gosztolai, M. Barahona

This study shows that cellular memory in E. coli enhances chemotactic drift speed in rugged environments by leveraging environmental correlations.

bioRxiv · Feb 14, 2020Biophysics

Collective search with finite perception: transient dynamics and search efficiency

A. Gosztolai, J. A. Carrillo, M. Barahona

The paper models how finite spatial perception affects search efficiency in motile organisms, showing that it improves transient search performance compared to purely local strategies.

bioRxiv · Dec 13, 2018Biophysics