Shuqi Wang
+41 21 693 31 45
EPFL
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SV
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BMI
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LCN2
Web site: Web site: https://lcn.epfl.ch/
Fields of expertise
Tool-wise, I adapt machine learning methods for analyzing neural data.
Topic-wise, I am mainly interested in:
Topic-wise, I am mainly interested in:
- Characterizing structure/ properties of neural activity in response to the task input: Posani and Wang 2025, Lai and Wang 2025, Schmutz and Haydaroğlu 2025.
- Reconstructing the underlying neural circuit from extra-cellular recordings: Fink and Muscinelli 2025, Wang and Schmutz 2022, Bellec and Wang 2021.
Publications
Selected publications
| Lorenzo Posani*, Shuqi Wang*, Samuel Muscinelli, Liam Paninski$, Stefano Fusi$ |
Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy |
| Andrew Fink*, Samuel Muscinelli*, Shuqi Wang, Marcus Hogan, Daniel English, Richard Axel, Ashok Litwin-Kumar, Carl Schoonover* |
Experience-dependent reorganization of inhibitory neuron synaptic connectivity |
| Alan Lai*, Shuqi Wang*, Xiao-Jing Wang COSYNE 2025 |
Nonlinear Manifolds Underlie Robust Representations of Continuous Variables in Recurrent Networks |
| Shuqi Wang*, Valentin Schmutz*, Guillaume Bellec, Wulfram Gerstner NeurIPS |
Mesoscopic modeling of hidden spiking neurons |
| Guillaume Bellec*, Shuqi Wang*, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner NeurIPS |
Fitting summary statistics of neural data with a differentiable spiking network simulator |