Research progress of neurodynamics in China

Excerpt

Since Professor Walter Freeman, a molecular neurobiologist from University of Berkeley, put forward the concept of neurodynamics over 20 years ago (Freeman 2000), the usage of dynamics theories and methods to study cognitive and nervous system activities has become a new field of research (Basar 1998,2011; Tass 1999; Wang et al. 2015; Wang and Wang 2018; Ravishankar Rao 2018; Haken 1996; Kawato 2000; Takeda 1999; David and Laughlin 2009; Abbott 2008). Research on the topic has sprung up like bamboo shoots. Neurodynamics is more often called computational neuroscience in Europe and the United States, and it is named neuromechanics in Japan (Takeda 1999). Neuroscientists in experimental fields prefer the term neuroinformatics’ to describe the basic law of neural information processing qualitatively or quantitatively (Ascoli 2016; Schutter 2016; Raichle and Gusnard 2002). But no matter what name we use, the basic fact remains that neuroscientists and scientists and engineers in the field of artificial intelligence have realized that the development of cognitive neuroscience not only depends on the progress of experimental techniques and data more and more, but also needs to understand and mine underlying principles of dynamical signal processing and transmission in brain networks and the internal mechanism of neural coding distribution mode. The laws and essences behind the vast amount of experimental data, enable us to understand and master the brain's operational methods and the pathogenesis of various brain diseases. An accurate prediction for patients with potential degenerative brain diseases can also be made possible (Laughlin 2001; Chen et al. 2014). …