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Eeshan Hasan


Research Area: Cognition and Cognitive Neuroscience


Computational Cognitive Modeling Using Deep Representations

Artificial Neural Networks or Deep Learning Techniques have been extremely successful in creating representations of complex and naturalistic stimuli. Using these representations one might represent various 'essential' features of these stimuli.  I am interested in understanding how these representations might be used as inputs in cognitive models and develop theories of decision making.

Lab Website

Representative Publications

Hasan, Eeshan, Quentin Eichbaum, Adam C. Seegmiller, Charles Stratton, and Jennifer S. Trueblood. "Improving Medical Image Decision‐Making by Leveraging Metacognitive Processes and Representational Similarity." Topics in Cognitive Science (2021).  https://doi.org/10.1111/tops.12588

 

Hasan, Eeshan, Quentin Eichbaum, Adam C. Seegmiller, Charles Stratton, and Jennifer Trueblood. "Harnessing the wisdom of the confident crowd in medical image decision-making." (2021). https://psyarxiv.com/wkqgs/