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Natalie Rshaidat

Computational Cognitive Neuroscience, ScB

Advisor:  Thomas Serre

Capstone:  Explorations in Top Facial Recognition Models

Capstone Advisor:  Thomas Serre


Computational Cognitive Neuroscience (CCN) is a new interdisciplinary field that is at the intersection between computational neuroscience, cognitive science, and machine learning. By using computational models and applied data analysis of current behavioral and neuroscientific data, CCN aims to incorporate the processes behind the complex cognitive functions of the brain into machines.


I explored some of the top computational models for facial recognition. I tested them on cognitive tasks that involve inducing pareidolia and the thatcher effect to see if their accuracy in recognizing faces would improve.


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"Natalie: What a ride this has been switching to an independent concentration late in the game :-) It was amazing seeing you grow into a full-fledge computational neuroscientist. Loved how much creativity you instilled in your capstone project. Please keep in touch!"

--Thomas Serre



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