Author

Baihan Lin

Columbia UniversityORCID 0000-0002-7979-5509Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Baihan Lin1 paper

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin PetersiD· 1 shared Djallel BouneffoufiD· 1 shared Guillermo CecchiiD· 1 shared Heiko H. SchüttiD· 1 shared Ian CharestiD· 1 shared Jasper J.F. van den BoschiD· 1 shared JohnMark TayloriD· 1 shared Jörn DiedrichseniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

1 shared paperNeuroscience

Benjamin PetersORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A Python Toolbox for Representational Similarity Analysis

Jasper J.F. van den Bosch, Tal Golan, Benjamin Peters, JohnMark Taylor, Mahdiyar Shahbazi, Baihan Lin, Ian Charest, Jörn Diedrichsen, Nikolaus Kriegeskorte, Marieke Mur, Heiko H. Schütt

The paper introduces an open-source Python toolbox for representational similarity analysis, providing tools to evaluate neural representations and models.

bioRxiv · May 22, 2025 · PreprintNeuroscience

Predicting human decision making in psychological tasks with recurrent neural networks

Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi

This paper uses LSTM networks to predict human decision-making trajectories in psychological tasks, showing better performance than existing methods in both single- and multi-agent scenarios.

PLoS ONE · May 31, 2022Peer-reviewedNeuroscience