May 2018: Presenting at the Vision Sciences Society (VSS) 2018 Annual Meeting:
talk: Inducing Neural Plasticity and Perceptual Similarity Using Real-Time fMRI Feedback.
marius cătălin iordan
home
papers
teaching
outreach
cv
about me
|
I'm a Postdoctoral Researcher at the Princeton Neuroscience
Institute, working with Jon Cohen,
Ken Norman, and Nick Turk-Browne
(Yale University). 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 visual and semantic concepts
and categories are learned and represented in our brains and how they
contribute to our building a coherent picture of the world.
|
news
May 2018: Presenting at the Vision Sciences Society (VSS) 2018 Annual Meeting: talk: Inducing Neural Plasticity and Perceptual Similarity Using Real-Time fMRI Feedback. 
Dec. 2017: Presenting at the Real-Time Functional Imaging and Neurofeedback (rtFIN) 2017 Conference: poster: KL-Evidence: A Novel Multivariate Method for Differentiating Representations. Our work also received a Travel Award and a Best Poster Award from the rtFIN Program Committee. 
Nov. 2017: Presenting at the Society for Neuroscience (SfN) 2017 Annual Meeting: poster: Inducing Neural Plasticity and Perceptual Similarity Using Real-Time fMRI Neurofeedback. poster: The Importance of "Motherese": Early Drivers of Successful Communication. 
Aug. 2017: Our work showing that vocal timbre is a discriminative feature between infant-directed and adult-directed speech was accepted for publication in Current Biology: "Mothers Consistently Alter Their Unique Vocal Fingerprints to Communicate With Infants". 
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. 
Jul. 2016: Joined the Neuroscience of Cognitive Control Lab (NCCL) at the Princeton Neuroscience Institute (PNI) as a Postdoctoral Researcher, working with Jon Cohen and Dan Osherson. 
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". 
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". |