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Kexin Chen

Graduate Student

University of California, Irvine

Hello!

This is Kexin Chen. I am a PhD candidate studying Cognitive Neuroscience at the Universtity of California, Irvine. I am interested in learning how the brain creates efficient representations of the world. Specifically, I focus on how motion and spatial information are represented and how they are retrieved during navigational behaviors. I am a member of the Cognitive Anteater Robotics Laboratory and am advised by Prof. Jeff Krichmar.

Have a look at some of my projects !

To learn more about me please checkout my CV.

Interests

  • Computational Neuroscience
  • Visual Motion Perception
  • Spatial Navigation
  • Brain-Inspired Computing

Education

  • PhD in Cognitive Neuroscience, 2023 (Expected)

    Universtity of California, Irvine

  • BS in Cognitive Science, 2017

    Universtity of California, San Diego

Projects

Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules

The brain may use dimensionality reduction and sparse coding to efficiently represent stimuli under metabolic constraints. Neurons in …

CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation

Mature simulation systems for Spiking Neural Networks (SNNs) become more relevant than ever for understanding the brain and supporting …

Modeling Spatial Cognition Components with Spiking Neural Networks

Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks. Paper published in …