Google Scholar Profile
In Preparation
Cerebellin-4 is a selective organizer of hippocampal inhibitory long-term potentiation
Joanne Huifen Koh, Balagangadharan Kalimuthu, Jiachuan Wang, Vincent Tianchu Xiong, Vachan Jagadeesh Shetru, Louise Zi Ning Goh, Andrew Yong-Yi Tan, Jai S Polepalli
Neuron. Under review.
Cerebellin-4 is a selective organizer of hippocampal inhibitory long-term potentiation
Joanne Huifen Koh, Balagangadharan Kalimuthu, Jiachuan Wang, Vincent Tianchu Xiong, Vachan Jagadeesh Shetru, Louise Zi Ning Goh, Andrew Yong-Yi Tan, Jai S Polepalli
Neuron. Under review.
Computational model-based analysis: Modeling effects of stress, strain and task difficulty on mice spatial navigation strategies in Morris Water Maze
Shiqi Wang*, Jiachuan Wang*, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Yanran Qiu, Wulfram Gerstner, Carmen Sandi, Gedi Luksys (* equal contribution)
Computational model-based analysis: Modeling effects of stress, strain and task difficulty on mice spatial navigation strategies in Morris Water Maze
Shiqi Wang*, Jiachuan Wang*, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Yanran Qiu, Wulfram Gerstner, Carmen Sandi, Gedi Luksys (* equal contribution)
Cerebellin-4 suppresses activity-dependent hippocampal neurogenesis and promotes pattern separation memory
Vachan Jagadeesh Shetru*, Jiachuan Wang*, M Ganesh Kumar, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan, Jai S Polepalli (* equal contribution)
Communications Biology. Under review.
Cerebellin-4 suppresses activity-dependent hippocampal neurogenesis and promotes pattern separation memory
Vachan Jagadeesh Shetru*, Jiachuan Wang*, M Ganesh Kumar, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan, Jai S Polepalli (* equal contribution)
Communications Biology. Under review.
Journal Article
Fine-tuning of mTOR signaling by the UBE4B-KLHL22 E3 ubiquitin ligase cascade in brain development
Xiangxing Kong, Xin Shu, Jiachuan Wang, Dandan Liu, Yingchun Ni, Weiqi Zhao, Lebo Wang, Zhihua Gao, Jiadong Chen, Bing Yang, Xing Guo, Zhiping Wang
Development 2022
The UBE4B-KLHL22 E3 ubiquitin ligase cascade regulates mTOR activity in neurodevelopment, and its disruption impairs neural precursor proliferation and differentiation, which can be rescued by mTOR inhibition.
Fine-tuning of mTOR signaling by the UBE4B-KLHL22 E3 ubiquitin ligase cascade in brain development
Xiangxing Kong, Xin Shu, Jiachuan Wang, Dandan Liu, Yingchun Ni, Weiqi Zhao, Lebo Wang, Zhihua Gao, Jiadong Chen, Bing Yang, Xing Guo, Zhiping Wang
Development 2022
The UBE4B-KLHL22 E3 ubiquitin ligase cascade regulates mTOR activity in neurodevelopment, and its disruption impairs neural precursor proliferation and differentiation, which can be rescued by mTOR inhibition.
Prevalence of ground glass nodules in preschool children: a cross-sectional study
Lichen Zhang, Xiaohui Ma, Zhigang Wu, Jiacong Liu, Chen Gu, Ziyue Zhu, Jiachuan Wang, Wenbo Shu, Kai Li, Jian Hu, Xiayi Lv
Translational Pediatrics 2022
Prevalence of ground glass nodules in preschool children: a cross-sectional study
Lichen Zhang, Xiaohui Ma, Zhigang Wu, Jiacong Liu, Chen Gu, Ziyue Zhu, Jiachuan Wang, Wenbo Shu, Kai Li, Jian Hu, Xiayi Lv
Translational Pediatrics 2022
Conference
Unsupervised Hebbian learning drives biologically interpretable pattern separation in a hippocampal–striatal network
Jiachuan Wang, Vachan Jagadeesh Shetru, M Ganesh Kumar, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan, Jai S Polepalli
AAAI Workshop: Neuro for AI & AI for Neuro 2026 Spotlight
We show that unsupervised Hebbian learning yields decorrelated, interpretable neural representations aligned with experimental data, while end-to-end RL models fail to capture these dynamics, highlighting the benefits of separating representation learning from value learning.
Unsupervised Hebbian learning drives biologically interpretable pattern separation in a hippocampal–striatal network
Jiachuan Wang, Vachan Jagadeesh Shetru, M Ganesh Kumar, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan, Jai S Polepalli
AAAI Workshop: Neuro for AI & AI for Neuro 2026 Spotlight
We show that unsupervised Hebbian learning yields decorrelated, interpretable neural representations aligned with experimental data, while end-to-end RL models fail to capture these dynamics, highlighting the benefits of separating representation learning from value learning.
A biologically plausible computational model of hippocampal neurogenesis and pattern separation in memory
Jiachuan Wang, Vachan Jagadeesh Shetru, M Ganesh Kumar, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan, Jai S Polepalli
Cognitive Computational Neuroscience (CCN) 2025
We developed a computational model incorporating an entorhinal cortex-dentate gyrus circuit. Simulations suggested that impaired synaptic plasticity or increased neurogenesis alone was sufficient to disrupt behavioral pattern separation.
A biologically plausible computational model of hippocampal neurogenesis and pattern separation in memory
Jiachuan Wang, Vachan Jagadeesh Shetru, M Ganesh Kumar, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan, Jai S Polepalli
Cognitive Computational Neuroscience (CCN) 2025
We developed a computational model incorporating an entorhinal cortex-dentate gyrus circuit. Simulations suggested that impaired synaptic plasticity or increased neurogenesis alone was sufficient to disrupt behavioral pattern separation.
Computational model-based analysis of spatial navigation strategies under stress and uncertainty using place, distance and border cells
Shiqi Wang, Jiachuan Wang, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Yanran Qiu, Wulfram Gerstner, Carmen Sandi, Gedi Luksys
Society for Neuroscience (SfN) 2023
We investigated how stress and uncertainty affect learning in two mouse strains using the Morris water maze and modeled their behavior with a biologically plausible network of border and place cells, revealing computational correlates of temperature-based differences.
Computational model-based analysis of spatial navigation strategies under stress and uncertainty using place, distance and border cells
Shiqi Wang, Jiachuan Wang, Wenyuan Zhu, Yuchen Cheng, Beste Aydemir, Yanran Qiu, Wulfram Gerstner, Carmen Sandi, Gedi Luksys
Society for Neuroscience (SfN) 2023
We investigated how stress and uncertainty affect learning in two mouse strains using the Morris water maze and modeled their behavior with a biologically plausible network of border and place cells, revealing computational correlates of temperature-based differences.