Introduction to Neural Information Processing (eBook)

Peiji Liang is a professor from Shanghai Jiaotong University. She is council member for both Chinese Neuroscience Society and Chinese Biophysics Society. She also served as the chair of the Computational Neuroscience and Neural Engineering Branch of Chinese Neuroscience Society. She is an associate editor-in-chief for Acta Biophysica Sinica and member of editorial board for Acta Physiologica Sinica. Her current research interest is focused on retinal information processing, particularly the spatial and temporal characteristics of population ganglion cells’ activity in encoding and transmitting the visual information, via both experimental and computational approaches. Prof. Liang is active in the academic and published more than 40 original research papers. Si Wu is a professor from Beijing Normal University. He is the member of editorial board for Neural Networks and Cognitive Neurodynamics. His research is focused on neural population coding, continuous attractor neural networks and neural information processing with dynamical synapses. He has published more than 50 original research papers.  Fanji Gu is an emeritus professor from Fudan University. He is an honorary member of the governing board of Shanghai Society for Nonlinear Science and one of the honorary chairpersons of the international conference on cognitive neurodynamics. His continuing research work on neural information processing has won Science and Technology award, awarded by National Education Adminisration, for four times in 1988, 1995, 1997 and 1999 respectively.

Introduction.- Neurobiological basis underlying neural information processing.- Single neuron models.- Neural Coding.- Neural information processing in different brain areas.- Network models of neural information processing.