Springer Exploration of Cortical Function: Imaging and Modeling Cortical Population Coding Strategies

This text summarizes research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-millimetre range, advanced methods for the statistical analysis of this data, and biologically inspired neuronal modelling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks. The book covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modelling techniques for the quantification of functional principles. The volume covers an area which is of great current interest to researchers working on cerebral cortex. The combination of models and image analysis techniques to examine the activity of large cohorts of neurons is especially intriguing and prone to considerable error and debate.