Faculty
Prof. Jian-Guang Ni

Prof. Jian-Guang Ni


Principal Investigator

Research Directions

Neural communication and computing mechanisms of learning and memory

Contact  Information

Address: 138 Yixueyuan Road, Institutes of Brain Science, Fudan University, Shanghai China 200032
Email: jguangni@fudan.edu.cn

Jianguang Ni completed doctoral training at Max Planck Society through the International Max Planck Research School for Neural Circuits and Ernst Strüngmann Institute in 2017, when he earned his Ph.D. degree from Goethe Frankfurt University with a “Summa cum laude” distinction. From 2017-2021, he performed postdoctoral training at Boston University Center for Systems Neuroscience and later at Tufts University School of Medicine Department of Neuroscience. His research work has been published in international journals including Neuron, Cell Reports, Nature Communications and European Journal of Neuroscience. In November of 2021, Dr.Ni joined Institutes of Brain Science at Fudan University as a principal investigator and was supported by Program for High-Level Overseas Talents Introduction (Shanghai). 

 

Enrollment Major
Neurobiology

 

Research Direction
Neural processing underlying Learning and memory engages complicated neuronal communication and neural computing between multiple cortical and sub-cortical brain regions. Dysfuction of neural communication often serves as biological hall-marks for many mental and cognitive disorders. Understanding the semantics, syntax and algorithms of neuronal communication with systems neuroscience approaches is believed to be the key to decipher the nature of memory. Our group will be dedicated to investigate the neural coding and neural communication mechanisms of memory formation, retrieval and consolidation through multiple-fold scales spanning neural network, circuits and systems, by using inter-disciplinary approaches including in vivo high-density multi-channel recordings, two-photon imaging, parametric behavior, activity-dependent genetic labeling and mathematical simulations. 


Selected Publications

1. Lewis CM#*, Ni J#, Wunderle T, Jendritza P, Lazar A, Diester I, Fries P*(2021). Cortical gamma-band resonance preferentially transmits coherent input. Cell Reports. 35 (5):109083.

2. Ozawa M, Davis P, Ni J, Maguire J, Papouin T, Reijmers L*(2020). Experience-dependent resonance in amygdalo-cortical circuits supports fear memory retrieval following extinction. Nature Communications. 11:4358

3. Condylis C, Lowet E, Ni J, Bistrong K, Ouellette T, Josephs N, Chen JL*(2020). Context-dependent sensory processing across primary and secondary somatosensory cortex. Neuron. 106 (3): 515-525. e5.

4. Ni J, Chen JL*(2017). Long‐range cortical dynamics: a perspective from the mouse sensorimotor whisker system. European Journal of Neuroscience. 46 (8): 2315-2324.

5. Ni J, Wunderle T, Lewis CM, Desimone R, Diester I, Fries P*(2016). Gamma-rhythmic gain modulation. Neuron. 92 (1):240-251


138 Yixueyuan Road, Shanghai 200032, China; Tel:021-54237641   

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