Author

T. Ahamed

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

Biology Disciplines

Click to filter author papers

Animal Behavior & Cognition· 3 Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:C. elegans· 4 Research Focus:cell type annotation· 4 Assay:imaging· 4 Approach:deep learning· 3 Approach:statistical model· 3 Research Focus:trajectory inference· 2

Frequent Co-Authors

A. C. Costa· 4 shared G. J. Stephens· 4 shared D. Jordan· 2 shared L. Hebert· 1 shared L. O'Shaughnessy· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersAnimal Behavior & Cognition

A. C. Costa

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A Markovian dynamics for C. elegans behavior across scales

A. C. Costa, T. Ahamed, D. Jordan, G. J. Stephens

This paper develops a Markov model of C. elegans foraging behavior that captures dynamics across scales, revealing new behavioral states and a trade-off between local and global search strategies.

bioRxiv · Oct 19, 2023 · PreprintAnimal Behavior & Cognition

Maximally predictive ensemble dynamics from data

A. C. Costa, T. Ahamed, D. Jordan, G. J. Stephens

This paper introduces a method to infer macroscopic dynamics from data by maximizing predictive information, applied to both physical systems and the movement of C. elegans.

bioRxiv · May 26, 2021 · PreprintBiophysics

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

L. Hebert, T. Ahamed, A. C. Costa, L. O'Shaughnessy, G. J. Stephens

WormPose is an open-source tool for 2D pose estimation in C. elegans using synthetic data and convolutional networks, validated on both synthetic and real worms.

bioRxiv · Jul 9, 2020Animal Behavior & Cognition

Capturing the Continuous Complexity of Behavior in C. elegans

T. Ahamed, A. C. Costa, G. J. Stephens

This paper develops a method to analyze C. elegans behavior by capturing its continuous state space, revealing both stereotyped and chaotic dynamics.

bioRxiv · Nov 1, 2019 · PreprintAnimal Behavior & Cognition