Postdoctoral Researcher
Princeton Neuroscience Institute
Princeton University

Research Focus:
Cognitive Neuroscience
Computational Neuroscience
Machine Learning

Princeton Neuroscience Institute
Washington Road
Princeton, NJ 08544

mci (at) princeton (dot) edu

Google Scholar | Research Gate

Travel and Presentations


Mar 31 PDP Seminar
Princeton, NJ
May 19-24 VSS 2017
St. Pete Beach, FL
June 28-30 IASL 2017
Bilbao, Spain
Nov 11-15 SfN 2017
Washington, DC


Feb 1 UC Berkeley
Berkeley, CA
Apr 2-5 CNS 2016
New York, NY
Apr 29 Ph.D. Thesis Defense
Stanford, CA
Sep 16 PDP Seminar
Princeton, NJ
Nov 3-6 Williams College
Williamstown, MA
Nov 12-16 SfN 2016
San Diego, CA

marius cătălin iordan
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about me
I'm a Postdoctoral Researcher at the Princeton Neuroscience Institute, working with Jon Cohen and Dan Osherson. I earned my Ph.D. in Computer Science from the Vision Lab at Stanford University, co-advised by Fei-Fei Li and Diane Beck (University of Illinois). Before that, I received my B.A. from Williams College in Computer Science, Mathematics, and Cognitive Science.
research interests
We rely on vision more than on any other sensory modality to interact with and make sense of our environment. Our behavior and culture, as well as the data we generate, all rely strongly on visual information to index and capture salient relationships in the world.
My work uses functional neuroimaging (fMRI), psycho-physics, and computational approaches to explore how cognitively useful dimensions of visual categorization are represented in our brain and how they contribute to our building a coherent picture of the world.



May 2017: Presenting at the Vision Sciences Society (VSS) 2017 Annual Meeting:
poster: The relative contribution of features and dimensions to semantic similarity.

Nov. 2016: Presenting at the Society for Neuroscience (SfN) 2016 Annual Meeting:
poster: Sequential Warping of Neural Representations According to Cognitive Principles in Visual Cortex.

Jun. 2016: Graduated with M.S. and Ph.D. in Computer Science from Stanford University.
Degree Focus: Cognitive and Computational Neuroscience, Machine Learning.

Apr. 2016: Our work on how perceived typicality modulates the neural representation of real-world objects was accepted for publication in Neuroimage:
"Typicality Sharpens Category Representations in Object-Selective Cortex".

Apr. 2016: Presenting at the Cognitive Neuroscience Society (CNS) 2016 Annual Meeting:
poster: Category boundaries and typicality warp the neural representation space of real-world categories.

Mar. 2016: As a member of the Program Committee, we are happy to announce that submission is now open for the 6th International Workshop on Pattern Recognition in NeuroImaging (PRNI) 2016:
submission deadline: 18 March 2016 | conference dates: 22-24 June 2016

Jan. 2016: The Key Reporter, Phi Beta Kappa Society's magazine for news and alumni relations, published a story about Elise Ann Piazza and Marius Cătălin Iordan and their shared journey into science:
"ΦBK Couple Combines Liberal Arts and Sciences in Career".

Dec. 2015: Our work on inter-subject prediction of functional cortical regions was accepted for publication in the Proceedings of the Machine Learning and Interpretation in Neuroimaging (MLINI) Workshop at NIPS:
"Locally-Optimized Inter-Subject Alignment Of Functional Cortical Regions".