Carnegie Mellon University
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Aran Nayebi

Assistant Professor of Machine Learning

Carnegie Mellon University

I’m an Assistant Professor at Carnegie Mellon University’s Machine Learning Department, a core faculty member of the Neuroscience Institute, and hold a courtesy appointment in the Robotics Institute. My lab, the NeuroAgents lab, works at the intersection of neuroscience & AI to reverse-engineer animal intelligence and build the next generation of autonomous agents. Learn more here.

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Publications

  • CORnet: Modeling the Neural Mechanisms of Core Object Recognition
  • Unsupervised neural network models of the ventral visual stream
  • Recurrent Connections in the Primate Ventral Visual Stream Mediate a Tradeoff Between Task Performance and Network Size During Core Object Recognition
  • Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
  • Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation
  • When and why grid cells appear or not in trained path integrators
  • Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation
  • For human-like models, train on human-like tasks
  • Scaling Properties for Artificial Neural Network Models of a Small Nervous System

Aran Nayebi's public data