Description: I Fundamentals.- 1 Biological Evidence for Synapse Modification Relevant for Neural Network Modelling.- 2 What is Different with Spiking Neurons?.- 3 Recurrent Neural Networks: Properties and Models.- 4 A Derivation of the Learning Rules for Dynamic Recurrent Neural Networks.- II Applications to Biology.- 5 Simulation of the Human Oculomotor Integrator Using a Dynamic Recurrent Neural Network.- 6 Pattern Segmentation in an Associative Network of Spiking Neurons.- 7 Cortical Models for Movement Control.- 8 Implications of Activity Dependent Processes in Spinal Cord Circuits for the Development of Motor Control; a Neural Network Model.- 9 Cortical Maps as Topology--Representing Neural Networks Applied to Motor Control: Articulatory Speech Synthesis.- 10 Line and Edge Detection by Curvature--Adaptive Neural Networks.- 11 Path Planning and Obstacle Avoidance Using a Recurrent Neural Network.

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