Meir Meshulam

Meir Meshulam

Postdoc researcher

Princeton Neuroscience Institute

Hasson lab

Norman lab

email: meshulam (at) princeton.edu

I am fascinated with human learning and with machine learning, which hold so much promise for each other. At Princeton, I develop tools for improving real-world learning using neuroimaging and computational methods. Previously, as a machine learning algorithm developer, I designed data analysis systems inspired by human cognition.

Interests

  • Human learning and understanding
  • Brain decoding
  • Machine Learning & Deep Learning
  • Data analysis & Signal Processing
  • Semantic Technologies

Education

  • PhD in Neuroscience, 2015

    Weizmann Institute of Science

  • MA in Cognitive Science, Specialization in the Study of Rationality, 2009

    The Hebrew University of Jerusalem

  • BSc in Cognitive Science & Life Sciences, 2007

    The Hebrew University of Jerusalem

Projects

Think Like an Expert

Decoding understanding of computer science concepts from student brains

This means a lot

Using deep learning to model how the brain learns new meanings

May I have your attention please

Using transformer models for neural time series analysis

Boring

Using regression to find out what happens when the brain gets bored

What’s the Connection?

Leveraging unsupervised learning to study problem-solving in the human brain

Publications

Meir Meshulam, Liat Hasenfratz, Hanna Hillman, Yun-Fei Liu, Mai Nguyen, Kenneth A. Norman, Uri Hasson. Neural alignment predicts learning outcomes in students taking an introduction to computer science course. Nature Communications, 2021.

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Mai Nguyen, Ashley Chang, Emily Micciche, Meir Meshulam, Samuel A. Nastase, Uri Hasson. Teacher-student neural coupling during teaching and learning. bioRxiv, 2020.

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Tal Golan, Ido Davidesco, Meir Meshulam, David M Groppe, Pierre Mégevand, Erin M Yeagle, Matthew S Goldfinger, Michal Harel, Lucia Melloni, Charles E Schroeder, Leon Y Deouell, Ashesh D Mehta, Rafael Malach. Increasing suppression of saccade-related transients along the human visual hierarchy. eLife, 2017.

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Meir Meshulam, Rafael Malach. Trained to silence: Progressive signal inhibition during short visuo-motor training. NeuroImage, 2016.

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Tal Golan, Ido Davidesco, Meir Meshulam, David M Groppe, Pierre Mégevand, Erin M Yeagle, Matthew S Goldfinger, Michal Harel, Lucia Melloni, Charles E Schroeder, Leon Y Deouell, Ashesh D Mehta, Rafael Malach. Human intracranial recordings link suppressed transients rather than 'filling-in' to perceptual continuity across blinks. eLife, 2016.

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M. Meshulam, M. Ramot, M. Harel, S. Kipervasser, F. Andelman, M. Y. Neufeld, U. Kramer, I. Fried, R. Malach. Selectivity of audiovisual ECoG responses revealed under naturalistic stimuli in the human cortex. J Neurophysiol, 2013.

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Meir Meshulam, Eyal Winter, Gershon Ben-Shakhar, Itzhak Aharon. Rational emotions. Social Neuroscience, 2012.

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Hagit Kopel, Meir Meshulam, Adi Mizrahi. Three-dimensional distribution patterns of newborn neurons in the adult olfactory bulb. Journal of Neuroscience Methods, 2009.

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