Exploration of Cortical Function Imaging and Modeling Cortical Population Coding Strategies / by M. Stetter.

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 o...

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Bibliographic Details
Main Author: Stetter, M. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Introduction
  • 2. Neurons and Neuronal Signal
  • 1 Overview
  • 2 The Resting Potential
  • 3 Passive Signal Propagation in Dendrites
  • 4 Active Propagation of Spikes
  • 5 Synaptic Transmission and Plasticity
  • 3 The Early Visual System of Macaque Monkeys
  • 1 Anatomy of the Early Visual Pathway
  • 2 Physiology of the Early Visual Pathway
  • 4 Optical Imaging of Brain Activity
  • 1 Principles of Optical Imaging
  • 2 Monte-Carlo Simulation of Optical Imaging
  • 3 Results for Simulated Video Imaging
  • 4 Simulated Scanning Laser Optical Imaging
  • 5 Optical Imaging as Source Separation Problem
  • 1 Formulation of the Source Separation Task
  • 2 Heuristic Methods for Source Separation
  • 6 Regression Methods for Source Separation
  • 1 General Linear Models
  • 2 Nonlinear Parametric Models
  • 7 Projection Methods for Source Separation
  • 1 Principle
  • 2 Principal Component Analysis
  • 3 Independent Component Analysis
  • 4 Second Order Decorrelation Methods
  • 5 Examples and Benchmarks
  • 8 Real World Applications of Source Separation Techniques
  • 1 Nonlinear Model-Analysis of Calcium Imaging Signals
  • 2 PCA for Optical Imaging of Intrinsic Signals
  • 3 ESD for Optical Imaging Data
  • 4 Concluding Remarks
  • 9 Computational Models of Early Vision
  • 1 Why Computational Models?
  • 2 Statistics of Natural Images
  • 3 Compact Coding
  • 4 Factorial Codes
  • 5 Sparse Distributed Coding
  • 10 Mean-Field Modeling of Cortical Function
  • 1 Iceberg-Model of Orientation Selectivity
  • 2 Mean-Field Model of Neuronal Population Activity
  • 3 Modeling Orientation Selectivity with two Cell Types
  • 4 Modeling Contrast Saturation with two Cell Types
  • 5 Hypercolumns with Multiple Populations
  • 6 Mean-Field Modeling of Contextual Effects
  • 7 Concluding Remarks
  • References.