Picture of Eshed hiking

Eshed Margalit, PhD

Computational Neuroscience and AI Researcher

I research brain-like artificial neural networks for vision, create online tools for scientists, and share educational resources for programming and statistics.

Curriculum Vitae

Research

I'm a computational neuroscientist working at the intersection of deep learning, primate visual neuroscience, human fMRI, and cognitive neuroscience. My thesis advisors were Profs. Dan Yamins and Kalanit Grill-Spector at Stanford University. My thesis focused on building deep neural network models that better match the function, structure, and development of visual cortex.

Rainbow color blobs

Topographic Deep Neural Networks

Learning topographic maps in deep convolutional neural networks

Data shown on the ventral surface of a human brain

Submillimeter Imaging of Human Visual Cortex

Ultra-high-resolution fMRI of human visual cortex

A colorful image synthesized to maximally excite part of an artifical neural network

CNNs for Face Classification

Understanding face recognition in deep neural networks

3D representation of a brain with red splotches indicating activity

Object Familiarity in LOC

How are objects and scenes encoded in the lateral occipital complex?

line drawing of a series of interconnected rectangles

Object Recognition in Modified Line Drawings

Psychophysical analysis of object recognition under distinct kinds of noise