Searching for Memory Cells and Networks
Our research interest is to search for cells and networks that are required for memory in the auditory cortex, entorhinal cortex, hippocampus, and motor cortex. Based on these basic research efforts, the long-term goal is to treat human brain diseases through precise neural manipulations.
Prof. Dr. Xiaowei Chen
Director, Brain Research Center, TMMU
Director and principal investigator, Chongqing Institute for Brain and Intelligence
Email:
xiaowei_chen@tmmu.edu.cn
Education
2008.04 – 2011.11
PhD., Institute of Neuroscience, Technical University Munich, Germany (Mentor: Arthur Konnerth)
2004.09 – 2007.12
Master's Degree in Medicine, TMMU, Chongqing, China
1999.09 – 2004.06
Bachelor's Degree in Medicine, TMMU, Chongqing, China
Employment
2021.01 – Present
Director & Principal Investigator, Chongqing Institute for Brain and Intelligence, Chongqing, China
2013.01 – Present
Professor (Tenured in 2018) & Director of the Brain Research Center, TMMU, Chongqing, China
2011.11 – 2013.01
Postdoctoral Researcher, Institute of Neuroscience, Technical University Munich, Germany
Research Collaborators
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Research articles
Book chapters and reviews
Contact
Any questions, suggestions, and interest in our projects are welcomed.
Institute Address
Xiaowei Lab
Location: Fuyuan Avenue 50
Nan'an District, Chongqing, China
Administration
Yalan Liu
Email: yalanliu@cibi.ac.cn
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Resources
Neuro Art Gallery
Neuro Art Gallery showcases visual works of the collision between neuroscience and art.
NeuronMapper
NeuronMapper is a comprehensive 3D brain-wide neuron detection and mapping approach powered by Python.
NeuronMapper can be used to process the registration of whole brain neurons with the Allen Brain Atlas, thereby achieving mapping and understanding of brain functions.
NeuroSeg2
NeuroSeg2 is a comprehensive 2D whole brain neuron segmentation method supported by Python.
NeuroSeg2 can perform stable and generalized segmentation of neurons in 2D two-photon calcium imaging data. The stable effect can also be maintained in the large-filde image.