Models of Neural Networks IV

1 Neurons, Networks, and Cognition: An Introduction to Neural Modeling.- 1.1 Introduction.- 1.2 Neurons.- 1.3 Local Cortical Network Dynamics.- 1.4 Collective Computation: Associative Memory.- 1.5 Concluding Remarks.- 1.6 Acknowledgments.- 1.7 References.- 2 The Gaze Control System.- 2.1 Introduction.- 2.2 The Gaze Control System in One and Two Dimensions.- 2.3 New Aspects for Eye Rotations in 3D.- 2.4 Mathematics of 3D Rotational Kinematics.- 2.5 Donders' Law and Listing's Law.- 2.6 Head-free Saccadic Gaze Shifts in 3D.- 2.7 Conclusion.- 2.8 References.- 3 Integrating Anatomy and Physiology of the Primary Visual Pathway: From LGN to Cortex.- 3.1 Introduction.- 3.2 The LGN.- 3.3 Models of the LGN.- 3.4 The Visual Cortex.- 3.5 Models of the Visual Cortex.- 3.6 References.- 4 Neural Principles of Preattentive Scene Segmentation: Hints from Cortical Recordings, Related Models, and Perception.- 4.1 Introduction.- 4.2 Properties of Synchronized Fast Cortical Oscillations (FCOs).- 4.3 Coding Contour Continuity.- 4.4 Coding Region Continuity.- 4.5 Coding the Separation of Adjacent Regions.- 4.6 Spatially Restricted Synchronization Among FCOs.- 4.7 Additional Properties of FCOs.- 4.8 Stimulus-Locked Scene Segmentation.- 4.9 Early Labeling of Visual Objects by FCO- or Rate-Coherence?.- 4.10 Appendix.- 4.11 References.- 5 Figure-Ground Segregation and Brightness Perception at Illusory Contours: A Neuronal Model.- 5.1 Introduction.- 5.2 Methods.- 5.3 Results.- 5.4 Discussion.- 5.5 Acknowledgment.- 5.6 References.- 6 Controlling the Focus of Visual Selective Attention.- 6.1 Introduction.- 6.2 A Computational Model of The Dorsal Pathway.- 6.3 Simulation Results.- 6.4 Discussion.- 6.5 References.- 7 Activity-Gating Attentional Networks.- 7.1 Introduction.- 7.2 Activity-GatingNetworks.- 7.3 Results.- 7.4 Discussion.- 7.5 References.- 8 Timing and Counting Precision in the Blowfly Visual System.- 8.1 Introduction.- 8.2 Signal, Noise and Information Transmission in a Modulated Poisson Process.- 8.3 The Early Stages of Fly Vision.- 8.4 Coding in a Blowfly Motion Sensitive Neuron.- 8.5 Discussion and Conclusions.- 8.6 References.- 9 Paradigms for Computing with Spiking Neurons.- 9.1 Introduction.- 9.2 A Formal Computational Model for a Network of Spiking Neurons.- 9.3 McCulloch-Pitts Neurons versus Spiking Neurons.- 9.4 Computing with Temporal Patterns.- 9.5 Computing with a Space-Rate Code.- 9.6 Analog Computation on Time Series in a Space-Rate Code.- 9.7 Computing with Firing Rates.- 9.8 Firing Rates and Temporal Correlations.- 9.9 Networks of Spiking Neurons for Storing and Retrieving Information.- 9.10 Computing on Spike Trains.- 9.11 Conclusions.- 9.12 References.