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Plausible Neural Networks for Biological Modelling (Mathematical Modelling


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Preface. Part I: Fundamentals. 1. Biological Evidence for Synapse Modification Relevant for Neural Network Modelling; J.E. Vos. 2. What is Different with Spiking Neurons; W. Gerstner. 3. Recurrent Neural Networks: Properties and Models; J.-P. Draye. 4. A Derivation of the Learning Rules for Dynamic Recurrent Neural Networks; H.A.K. Mastebroek. Part II: Applications to Biology. 5. Simulation of the Human Oculomotor Integrator Using a Dynamic Recurrent Neural Network; J.-P. Draye, G. Cheron. 6. Pattern Segmentation in an Associative Network of Spiking Neurons; R. Ritz. 7. Cortical Models for Movement Control; D. Bullock. 8. Implications of Activity Dependent Processes in Spinal Cord Circuits for the Development of Motor Control; a Neural Network Model; J.J. van Heijst, J.E. Vos. 9. Cortical Maps as Topology-Representing Neural Networks Applied to Motor Control: Articulatory Speech Synthesis; P. Morasso, et al. 10. Line and Edge Detection by Curvature-Adaptive Neural Networks; J.H. van Deemter, J.M.H. du Buf. 11. Path Planning and Obstacle Avoidance Using a Recurrent Neural Network; E. Mulder, H.A.K. Mastebroek. Index.

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