"Visual Cortex: Current Status and Perspectives" ed. by Stéphane Molotchnikoff and Jean Rouat

This book focuses on the cerebral cortex with a large emphasis on vision. Yet it offers the reader diverse approaches employed to investigate the brain, for instance, computer simulation, cellular responses, or rivalry between various targets and goal directed actions.

The neurosciences have experienced tremendous and wonderful progress in many areas, and the spectrum encompassing the neurosciences is expansive. Suffice it to mention a few classical fields: electrophysiology, genetics, physics, computer sciences, and more recently, social and marketing neurosciences.
This volume covers a large spectrum of research even though it is impossible to include all topics in the extremely diverse field of neurosciences.


Contents
Preface
1 Projections, Partaken Circuits and Axon Initial Segments of Cortical Principal Neurons
2 Visual Field Map Organization in Human Visual Cortex
3 On the Specific Role of the Occipital Cortex in Scene Perception
4 Neural Mechanisms for Binocular Depth, Rivalry and Multistability
5 Visual Motion: From Cortex to Percept
6 Visual Processing in the Action-Oriented Brain
7 Linking Neural Activity to Visual Perception: Separating Sensory and Attentional Contributions
3 Bio-Inspired Architecture for Clustering into Natural and Non-Natural Facial Expressions
9 Vision as a Fundamentally Statistical Machine
10 Models of Information Processing in the Visual Cortex
11 Neurovascular and Neurometabolic Uncoupling in the Visual Cortex
12 Experience Mediated Development of the Visual Cortex Vascularization
13 Insights into Visual Cortex Plasticity: Interaction Between Genes and Sensory Experience
14 Environmental Influences on Visual Cortex Development and Plasticity
15 Adaptation and Neuronal Network in Visual Cortex
16 New Pictures of the Structure and Plasticity of Orientation Columns in the Visual Cortex
17 The Experimental Manipulation of Visual Cortex Efferents
18 Role of Feedforward and Feedback Projections in Figure-Ground Responses