Yimin Nie

Research interests

Yimin Nie's research focuses on computational neuroscience on motor skill learning and the theory of information geometry. He uses mathmatical approaches such as nonlinear dynamics and spiking neuron models to study the computational principles of motor skill learning which is hippocampus independent learning skill in the brain. He also uses computer simulation for large neuronal network simulation in order to understand network behavior. He is interested in the theory of information geometry as a novel multiple neural data analysis tool based on differential geometry. He is currently investigating and extending this information theory for neural spike data to provide a new method of data analysis liking spike data and neuronal plasticity.

Biography

Yimin has a background in mathematical physics. He has done some theoretical work in high-energy particle physics at the Beijing University, China. He theoretically predicted the decay width of top quark by using quantum field theory. He began to have interests on computational neuroscience and completed a research project on theoretical neuroscience and biophysics at the Technical University Munich under the supervisor of Prof. Dr. Leo van Hemmen. While in Munich, he built a mathematical model for the neural information processing of the lateral line system of blind fish by hydrodynamics and spiking neuron models. He also participated in the realization of artificial lateral line system in bionics.

Degrees

  • M.Sc. (Exchange project), theoretical neuroscience, Technical University Munich, Germany.
  • M.Sc. Mathematical physics, Beijing University,China.
  • B.Sc. Physics, Beijing University,China.

Refereed journal articles at international level

  • Yimin Nie and Masami Tatsuno. Information-Geometric Measures for Estimation of Synaptic Connections under Correlated Inputs. (submitted to Neural Computation on January 16, 2012. 37 pages).
  • Neural Computation is the top journal in the field of computational neuroscience. It has an IF of 2.290 and is ranked 5th in computer science (artificial intelligence).
  • Yimin Nie, Jan-Moritz P. Franosch and J. Leo van Hemmen. How blind fish can detect walls by sensing body deceleration. (submitted to Proceedings of the Royal Society B on January 9, 2012. 20 pages).
  • Proceedings of the Royal Society B is one of the leading journals in biological science. It has an IF of 5.064 (2010) and is ranked 9th in biology.
  • Yimin Nie, Chong Sheng Li, Qiang Li, Jian Jun Liu, and Jun Zhao, Effects of R-parity violation in unpolarized top quark decay into polarized W-boson. Physical Review D71:074018 (2005).
  • Physical Review D is one of the top journals in the field of elementary particle physics, field theory, gravitation and cosmology. It has an IF of 4.964 (2010) and is ranked 5th in physics (particles and fields).

Refereed conference articles at international level

  • Stefen Sosnowski, Jan.-M. P. Franosch, Licong Zhang, Yimin Nie, Sandra Hirche, J. Leo van Hemmen, Simulation of the Underwater Vehicle 'Snookie': Navigating like a Fish. In: Proceedings of the 1st International Conference on Applied Bionics and Biomechanics (ICABB), Venice, Italy. Eds. (2010).
  • Nora Martiny, Stefan Sosnowski, Kolja Kühnlenz, Sandra Hirche, Yimin Nie, Jan-Moritz P. Franosch, J. Leo van Hemmen. Design of a Lateral-Line Sensor for an Autonomous Underwater Vehicle. Preprints of the 8th IFAC International Conference on Maneuvering and Control of Marine Craft, September 16-18, 2009 Casa Grande Hotel, Guarujá (SP), Brazil : 292-297 (2009).
  • Best Student Paper Award

Non-refereed articles at national level

  • Jan-Moritz P. Franosch, Jochen Kursawe, Nora Martiny, Yimin Nie, Benedikt Schroefel, Jean-Philippe Sobczak, Stefan Sosnowski. Object Avoidance of an Underwater Vehicle Based on the Sensory System of the Blind Mexican Cave Fish. Report of CoTeSys (Congnition in Technical System), Munich, Germany (2009).
  • Yimin Nie, Relativistic Effects in Moving Electromagnetic Couples System. Chinese Physics Review (2002).

In presentation or conference part

  • Yimin Nie and Masami Tatsuno. Information-Geometric Measures for Estimation of Synaptic Connections under Correlated Inputs. Fernie Conference, Fernie, BC, Canada (2012).
  • Yimin Nie and Masami Tatsuno. Information-Geometric Measures in Feedforward Neural Networks. Banff summit of Alberta Innovates Technology Future (AITF), Banff, AB, Canada (2011).
  • Yimin Nie and Jan-Moritz P. Franosch. How the lateral line system of the fish can be used to detect the obstacles. CILIA meeting, Dresden, Germany (2010).
  • Yimin Nie. Design of artificial lateral line system inspired by aquatic animals. Bernstein Center for Computational Neuroscience, Munich, Germany (2009).
  • Yimin Nie. TUMA demonstrator, Physics department T35, Technical University Munich, Germany (2009).
  • Yimin Nie and Chongsheng Li. Effects of R-parity violation in unpolarized top quark decay into polarized W-boson. The 3rd Zhong Sheng Biao Physics Forum of Graduates, Beijing University, Beijing, China (2005).