Author

Frederick Bell

Case Western Reserve 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

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Berfin DinciD· 2 shared Kemal OzdemirliiD· 2 shared Macit Emre LaciniD· 2 shared Miguel MaldonadoiD· 2 shared Murat YıldırımiD· 2 shared Tenesha ConnoriD· 2 shared Abdullah Çağlar Öksüz· 1 shared Anthony M. ChomykiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

2 shared papersNeuroscience

Berfin DincORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A Deterministically Synchronized Widefield Imaging and Virtual Reality Platform for Multimodal Brain Behavior Recording

Miguel Maldonado, Ömer Faruk Dinç, Macit Emre Lacin, Tenesha Connor, Frederick Bell, Berfin Dinc, Kemal Ozdemirli, Murat Yıldırım

This paper introduces a synchronized platform for multimodal brain behavior recording, achieving millisecond-precision alignment across neural imaging, behavior, and virtual reality.

bioRxiv · May 20, 2026 · PreprintNeuroscience

NeuroPupil: A generalization-first framework for scalable and biologically informative cross-species pupillometry

Kemal Ozdemirli, Tenesha Connor, Berfin Dinc, Kaleb Kim, Macit Emre Lacin, Miguel Maldonado, Shreya Guha, Kiersten Hawk, Abdullah Çağlar Öksüz, Frederick Bell, Zhiyao Zhang, Thiago Peixoto Leal, Nick Sarn, Anthony R. Sloan, Anthony M. Chomyk, , Murat Yıldırım

NeuroPupil improves cross-species pupillometry with a deep learning framework, achieving better accuracy and efficiency while enabling reliable biological insights.

bioRxiv · May 18, 2026 · PreprintNeuroscience