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

✍ Scribed by Martin Stetter (auth.)

• Publisher: Springer Netherlands
• Year: 2002
• Tongue: English
• Leaves: 277
• Edition: 1
• Category: Library

✦ Synopsis

Exploration of Cortical Function summarizes recent 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-millimeter range, advanced methods for the statistical analysis of these data, and biologically inspired neuronal modeling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks.

Exploration of Cortical Function is unique in that it covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling 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.

✦ Table of Contents

Front Matter....Pages i-xv
Introduction....Pages 1-4
Neurons and Neuronal Signal Propagation....Pages 5-22
The Early Visual System of Macaque Monkeys....Pages 23-45
Optical Imaging of Brain Activity....Pages 47-81
Optical Imaging As Source Separation Problem....Pages 83-104
Regression Methods for Source Separation....Pages 105-124
Projection Methods for Source Separation....Pages 125-156
Real World Applications of Source Separation Techniques....Pages 157-187
Computational Models of Early Vision....Pages 189-206
Mean-Field Modeling of Cortical Function....Pages 207-249
Back Matter....Pages 251-269

✦ Subjects

Neuroradiology;Statistical Physics, Dynamical Systems and Complexity;Artificial Intelligence (incl. Robotics);Neurosciences;Computer Imaging, Vision, Pattern Recognition and Graphics