Carnegie Mellon University founder Andrew Carnegie said: "My heart is in the work."

No statement better captures the passion and drive of our people to make a real difference. 

At Carnegie Mellon, we're not afraid of the work.

Our educational environment creates problem solvers, drivers of innovation and pioneers in technology and the arts.  

Employers in every field say our graduates are ready to hit the ground running the day they graduate. 

So, join us. Whether you're looking for a career or an education. Or both.

Carnegie Mellon University

New Row

Contact expert @[Full Name](fullname), @[Job Title](job_title) at @[Organization](organization) for media, speaking, professional opportunities and more.

@[Full Name](fullname) at @[Organization](organization) | Contact Form

Expert Inquiry

Open Sans

Fellow, American Association for the Advancement of Science (AAAS

Early experience with low-pass filtered images facilitates visual category learning in a neural network model

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images

Selectivity for food in human ventral visual cortex

A texture statistics encoding model reveals hierarchical feature selectivity across human visual cortex

Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features

Michael Tarr is an expert in visual perception and how the brain transforms 2D images into high-level percepts. His work focuses on face, object and scene processing and recognition in both biological and artificial systems. Tarr studies the neural, cognitive and computational mechanisms underlying visual perception and cognition. He is interested in how humans effortlessly perceive, learn, remember and identify faces, scenes and objects, as well as how these visual processes interact with our other senses, thoughts and emotions. He also is interested in the connection between biological and artificial intelligence, in particular, focusing on how high-performing computer vision systems can be used to better understand human behavior and its neural basis. Conversely, he holds that effective models of biological vision will help inform and improve the performance of artificial vision systems.

Cognitive Neuroscience

Cognitive Science

Computational

Perception

Carnegie Mellon University Profile 

tarrlab

Google Scholar Citations

ResearchGate Citations

Wikipedia Page

CMU startup Neon honored by World Economic Forum

Kavčić-Moura Professor of Cognitive and Brain Science

Michael J. Tarr is a world-renowned cognitive scientist who studies the human visual system. In this video, he talks about Carnegie Mellon University’s long history in brain research, his own work and what the future holds for CMU’s BrainHub initiative. Learn more at www.cmu.edu/brainhub.

BrainHub - Michael J. Tarr

Media Inquiry