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Alicia Zeng

Student of Computational Neuroscience

Physics of Living Matter Lab, UPenn

Biography

My research goal is to contribute to our understanding of the elusive questions lying at the intersection of physics, neuroscience, and philosophy: how do robust, adaptive representations of the world emerge from the collective dynamics of ensembles of interconnected neurons? How can we rigorously explain the emergence of high-level semantic structures from low-level syntaxes? Specifially, I am interested in eluciating the fundamental computational principles of neural circuits with quantitative tools from dynamical systems, machine learning, and statistics.

I am a Chinese citizen and an American permanent resident. Born and raised in Beijing, I transferred to Vanderbilt University and came to the states after my second year at PKU to broaden my intellectual horizons. When I'm not contemplating theoretical neuroscience, I enjoy camping by the sea, hiking in in the mountains, practicing ballet, and studying philosphy.

Interests

  • Neural Computation
  • Nonlinear Dynamics
  • Learning & Memory

Education

  • BA in Physics, BA in Philosophy with Honors, 2014 - 2017

    Vanderbilt University

  • Majored in Economics, 2012 - 2014

    Peking University

Projects

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Sensory Uncertainty

Applying modulated Poisson models to retinal adaptation with multi-electrode array data

Bird Vocalizations

A Topological Approach to Extract Dynamical Information from Bird Vocalizations

Publications

A Nonlinear Dynamical System Approach to Bird Song Analysis

Songbird vocal production is a complex nonlinear phenomenon. However, acoustic studies of bird vocalization have mostly been based on …

Impending: A Topological Approach to Extract Dynamical Information from the Temporal Fine Structure of Bird Vocalizations

Bird vocalizations are fundamentally high-dimensional signals with complex dynamical structure. These signals often convey biologically …

Research Experience

 
 
 
 
 

Visiting Scholar

Physics of Living Matter Lab, University of Pennsylvania

Aug 2017 – Present Philadelphia
Advisors: Professor Vijay Balasubramanian, Dr Eve Armstrong

  • Spearheaded new research utilizing dynamical systems methods to extract topological and geometric information from reconstructed state spaces of bird vocalizations
  • Ongoing project on using modulated Poisson models to study retinal adaptation with multi-electrode array data
 
 
 
 
 

Honors Student

Vanderbilt University, The Philosophy Honors Program

Aug 2017 – May 2017 Nashville
Advisor: Professor Jeffrey Tlumak

  • Explored the implications of AlphaGo’s unprecedented rise to dominance in Go from the perspectives of philosophy of mind and cognitive science with emphasis on the emergence of the semantic from the syntactic
  • Honors Thesis: Alicia Zeng, Jeffrey Tlumak (2015). Go Metaphors: Mind, Machine, and Meaning
 
 
 
 
 

Research Assistant

Berkeley Early Learning Lab

Jun 2017 – Aug 2017 Berkeley
Advisor: Professor Fei Xu

  • Refined experimental techniques and built new equipment for studying physical intuition and causal reasoning in infants
  • Assisted in conducting experiments, receiving test subjects and families, and automating test subject recruiting processes
 
 
 
 
 

Laboratory Assistant

Culture and Social Cognitive Neuroscience Laboratory, Peking University

Sep 2013 – Jan 2014 Beijing
Advisor: Professor Shihui Han

  • Assisted in the implementation of fMRI-based experiments and provided support to lab technicians
  • Conducted literature searches to support research on the neural basis of culturally specific self-construals

Codes

Attractor Reconstruction with Python

An example of nonlinear state-space reconstruction using the Lorenz attractor

Skills

Nonlinear Dynamics

Machine Learning

Statistics

Python / Matlab / C++

LaTeX / Overleaf

Philosophy of Mind