Prof. Jian-Guang Ni

Principal Investigator

Research Directions

Neural Communication and Computing

Contact  Information

Address: 131 Dongan Road, Institutes of Brain Science, Fudan University, Shanghai China 200032
Tel: 021-54230118     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


Research Direction
On top of the brain connectome, cognitive functions emerge from integrating dynamic, interareal neuronal communications and neural computing at different spatio-temporal levels. Dysfunction of neural communication and computing 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 human intelligence and cognition. By combining inter-disciplinary tools including in vivo high-density multi-channel recordings, two-photon imaging, parametric behavior, activity-dependent genetic labeling and mathematical simulations, we are investigating the following topics :

1. Neural dynamics of learning and memory, including its information coding and neural communication mechanism.
2. Neural rhythms and neuronal synchronization.
3. Developing neuromodulation and brain-machine interface (BMI) tools for intervening neuronal communication.


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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