邹立诚

邹立诚 Licheng Zou

Visiting Scientist

NYU Shanghai

Biography

Hi, welcome! I’m Licheng Zou, currently a visiting scientist at NYU Shanghai. Trained in applied mathematics and biomedical sciences, my academic career focuses on computational neuroscience. Since 2024, I’ve been investigating the primary visual cortex and aiming at understand visual neuron dynamics through multi-scale computational approaches. Starting from September 2025, I’ll work as a PhD candidate at Gottingen Campus Institute for Biological Networks/ Max-Planck Institute for Dynamics and Self-organization under supervision of Prof. Fred Wolf.

Interests
  • Mean-field Analysis
  • Synaptic Plasticity
  • Attractor Network
Education

  • Master in Neurobiology, 2025

    University of Amsterdam

  • Bachelor in Mathematics, 2023

    Shanghai Jiao Tong University

Skills

Technical
Python
Matlab
Applied Mathematics
Hobbies
Movies
Fitness
Hiking

Experience

 
 
 
 
 
Department of Neural Science, NYU Shanghai
Visiting scientist (summer)
Department of Neural Science, NYU Shanghai
June 2025 – September 2025 Shanghai
Together with Dr. Zhuocheng Xiao, we investigate the network mechanisms underlying the emergence of V1 functional receptive fields through large-scale simulations and multi-scale analysis.
 
 
 
 
 
University of Amsterdam, University of Chicago, German Primate Center
Graduate research internship (hybrid)
University of Amsterdam, University of Chicago, German Primate Center
September 2024 – June 2025 Amsterdam, Goettingen
An interdisciplinary collaboration across continents, aiming at investigating the neural mechanisms underlying macaque perceptual decision-making via pulvinar-cortex interactions. My role is to build up a bi-hemisphere thalamocortical circuit model to reproduce the collected neuronal spiking data under different scenarios – control, lesion, and micro-stimulation.
 
 
 
 
 
Computational Neuroscience Group, Centre de Recerca Matematica
Graduate research internship
Computational Neuroscience Group, Centre de Recerca Matematica
July 2023 – September 2024 Barcelona
Funded by the Erasmus+ internship scholarship, I performed two research projects on representational drift under supervision of Dr. Alex Roxin. In the meantime, I actively participated in the academic events taking place within the Great Barcelona neuroscience community, including one conference and two workshops.
 
 
 
 
 
Cognitive and Systems Neuroscience Group, University of Amsterdam
Undergraduate research internship
Cognitive and Systems Neuroscience Group, University of Amsterdam
September 2022 – June 2023 Amsterdam
Funded by the generous Zhiyuan overseas internship scholarship, I performed the research project on distributed models underlying perceptual decision-making under supervision of Dr. Jorge Mejias. And my bachelor thesis was produced as part of the output of this internship.
 
 
 
 
 
Lab of computational neuroscience, Shanghai Jiao Tong University
Undergraduate research internship
Lab of computational neuroscience, Shanghai Jiao Tong University
November 2021 – June 2022 Shanghai
Thanks for Dr. Douglas Zhou’s admission, I joined his lab co-directed by Dr. Songting Li and started my journey into computational neuroscience (CNS). During this internship, I got knowledge of foundation and different research topics in CNS, and presented interested literatures during weekly journal clubs. In the meantime, I attended two CNS winter schools hosted by the same institution and one online conference.

Projects

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All Memory Cognition V1 simulation
A distributed neocortical model on decision-making (DM).
Recent electrophysiology experiments report distributed cortical responses to a random-dot discrimination task, and we built a biologically plausible neocortical model incorporating with different datasets to capture this phenomenon.
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A distributed neocortical model on decision-making (DM).
Large-scale simulation of rodent V1 across laminae.
With the emergence of large-scale recording data in mouse, we wondered whether a data-constrained model can replicate the functional receptive field properties across rodent V1 neuron types.
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Large-scale simulation of rodent V1 across laminae.
Network mechanisms underlying representational drift (RD)
We tested the hypothesis treating RD as the inevitable consequence of synaptic turnover by fitting a network model to data from long-term chronic calcium imaging experiments in mouse hippocampus. Synaptic turnover in the model inputs, consistent with the ongoing encoding of new activity patterns, accounted for the observed statistics of RD.
Network mechanisms underlying representational drift (RD)

Gallery

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Recent Publications

Quickly discover relevant content by filtering publications.
Giulia Morenia, Licheng Zou, Cyriel Pennartz, Jorge Mejias (2025). Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types. Frontiers in Computational Neuroscience, 19(1568143).

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Licheng Zou, Giulia Moreni, Cyriel Pennartz and Jorge Mejias (2024). Efficient laminar-distributed interactions and orientation selectivity in the mouse V1 cortical column.

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Federico Devalle, Licheng Zou, Gloria Cecchini and Alex Roxin (2024). Representational drift as the consequence of ongoing memory storage.

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Licheng Zou, Nicola Palomero-Gallagher, Douglas Zhou, Songting Li, Jorge F Mejias (2023). Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making.

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Recent & Upcoming Talks

Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making
A contributed talk at MPI-DS on distributed decision-making.
Feb 18, 2025 — Feb 21, 2025 Göttingen Campus Institute for Dynamics of Biological Networks, Georg-August-University Göttingen and Max Planck Society
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Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making
Representational drift as the consequence of ongoing memory storage
A contributed talk at INS-SJTU Seminar in Mathematical Biology on representational drift in the hippocampus and olfactory circuits.
Dec 11, 2024 — Dec 12, 2024 Institute of Natural Sciences, Shanghai Jiao Tong University
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Representational drift as the consequence of ongoing memory storage
Efficient laminar-distributed interactions and orientation selectivity in the mouse V1 cortical column
A contributed talk at MPI-DS on simulating mouse V1 cortical column and explaining the laminar distribution of orientation selectivity.
Nov 26, 2024 — Nov 29, 2024 Göttingen Campus Institute for Dynamics of Biological Networks, Georg-August-University Göttingen and Max Planck Society
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Efficient laminar-distributed interactions and orientation selectivity in the mouse V1 cortical column
Network mechanisms underlying representational drift in hippocampus and olfactory circuits
A contributed talk at MPI-DS on representational drift in the hippocampus and olfactory circuits.
Oct 23, 2024 — Oct 25, 2024 Göttingen Campus Institute for Dynamics of Biological Networks, Georg-August-University Göttingen and Max Planck Society
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Network mechanisms underlying representational drift in hippocampus and olfactory circuits
Computational mechanisms of representational drift and odor perception in rodent olfactory systems
A poster presentation on olfactory perception and representational drift.
Sep 29, 2024 — Oct 3, 2024 Goethe University
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Computational mechanisms of representational drift and odor perception in rodent olfactory systems
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Contact

I believe no one would contact me with this link, in any case, I’d be glad to discuss about science through email with all over the world.