How Do I Become a Neuroscience Specialist?

Li Zhaoping, an expert in computational neuroscience. He graduated from Fudan University with a bachelor's degree in 1984 and received a PhD in physics in 1989. He has performed postdoctoral research at Fermi National Laboratory, Princeton Advanced Institute, and Rockefeller University in New York, USA. From 1994 to 1997, he was an assistant professor at the Hong Kong University of Science and Technology. In 1998, he was a reader at the University College London in the UK.

Li Zhaoping

(Expert in Computational Neuroscience)

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Li Zhaoping, an expert in computational neuroscience. He graduated from Fudan University with a bachelor's degree in 1984 and received a PhD in physics in 1989. He has performed postdoctoral research at Fermi National Laboratory, Princeton Advanced Institute, and Rockefeller University in New York, USA. From 1994 to 1997, he was an assistant professor at the Hong Kong University of Science and Technology. In 1998, he was a reader at the University College London in the UK.
Li Zhaoping is an internationally renowned expert in computational neuroscience. Computational neuroscience uses integrated methods and perspectives in physics, life sciences, mathematics, computers, and engineering to study brain cognition, learning, and consciousness functions. She has done research in the areas of vision, smell, memory, learning, signal processing, neural networks, and motion control in brain function. In the late 1990s and early 2000s, the theory of "saliency map of visual primary cortex attention" was proposed. The concept of this theory is beyond the scope of traditional ideas (including the Nobel Prize work of 1980), because it involves the main functions of attention and vision in the brain, and has obtained the support of recent experiments, which has drawn great attention from the academic community. This theory will give new directions to the understanding and research of the brain, especially visual function.
Since 2008, Li Zhaoping has opened the first full-system computational neuroscience course in China. The first Beijing International Conference on Computational Neuroscience was held in our university in July 2009. Recently, a computational neural laboratory has been established in our university to promote cross-disciplinary research combining mathematics, engineering, and brain science.
Representative papers
Zhaoping L. (2008) Attention capture by eye of origin singletons even
without awareness --- a hallmark of a bottom-up saliency map in the
primary visual cortex. Journal of Vision, 8 (5): 1, 1-18,
Zhaoping L. Theoretical Understanding of the early visual processes by
data compression and data selection in Network: Computation in neural
systems 17 (4): 301-334 (2006).
Zhaoping L. (2005) Border Ownership from Intracortical Interactions in
Visual Area V2, in NEURON, Vol. 47, 143-153
Li Z. (2002) A saliency map in primary visual cortex in Trends in
Cognitive Sciences Vol 6. No.1. Jan. 2002, page 9-16
Li Z. (1999) Contextual influences in V1 as a basis for pop out and
asymmetry in visual search In Proceedings of National Academy of
Science, USA Volumn 96, 1999. Page 10530-10535.
Li Z. (1999) Visual segmentation by contextual influences via
intracortical interactions in primary visual cortex. In Network:
Computation in Neural Systems Volumn 10, Number 2, May 1999. Page 187-212
Li Z. and Dayan P. (1999) Computational differences between asymmetrical
and symmetrical networks Network: Computation in Neural Systems 10. 1
59-77, 1999
Li Z. (1998) A neural model of contour integration in the primary visual
cortex In Neural Computation. 10. 903-940, 1998
Li Z. and Atick JJ (1994) Towards a theory of striate cortex
Published in Neural Computation Vol. 6, p. 127-146.
Li Z. (1992) Different retinal ganglion cells have different functional
goals, International Journal of Neural Systems, Vol. 3, No. 3, (1992)
237-248
Atick, JJ, Li, Z. and Redlich AN (1992) Understanding retinal color
coding from first principles. Neural Computation 4 559-572.
Li, Z., Hopfield, JJ (1989) Modeling the Olfactory Bulb and Its Neural
Oscillatory Processings. Biol. Cybern. 61 (5) 379-392.
Li, Z. (1990) A model of olfactory adaptation and sensitivity
enhancement in the olfactory bulb. Biol. Cybern. 62 (4) 349-361.

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