1 Neural Networks: An Overview -- 1.1 Introduction -- 1.2 What is a Neural Network? -- 1.3 Neural Network Dynamics -- 1.4 Training a Neural Network -- 1.5 Problems for Artificial Neural Networks -- 1.6 Problems for Neurobiologically Realistic Neural Networks -- 1.7 Conclusions -- 1.8 Further Reading -- 1.9 Bibliography -- 2 A Beginner's Guide to the Mathematics of Neural Networks -- 2.1 Introduction: Neural Information Processing -- 2.2 From Biology to Mathematical Models -- 2.3 Neural Networks as Associative Memories -- 2.4 Creating Maps of the Outside World -- 2.5 Learning a Rule from an Expert -- 2.6 Puzzling Mathematics -- 2.7 Further Reading -- 2.8 Bibliography -- 3 Neurobiological Modelling -- 3.1 Introduction -- 3.2 The Single Nerve Cell -- 3.3 Retinal Processing -- 3.4 The Cortical Streams -- 3.5 The Ventral Stream -- 3.6 The Dorsal Stream -- 3.7 Object Construction -- 3.8 Modelling the Processing Streams -- 3.9 Conclusions -- 3.10 Bibliography -- 4 Neural Network Control of a Simple Mobile Robot -- 4.1 Introduction -- 4.2 The Robot 'Insects' -- 4.3 Neural Network for Obstacle Avoidance -- 4.4 A Compound Eye -- 4.5 Navigation -- 4.6 Discussion -- 4.7 Bibliography -- 5 A Connectionist Approach to Spatial Memory and Planning -- 5.1 Overview -- 5.2 Introduction -- 5.3 Biological Spatial Memory -- 5.4 Connectionist Implementation -- 5.5 An Experiment with a Robot -- 5.6 Discussion -- 5.7 Conclusion -- 5.8 Appendix: Vision system for letter detection and recognition. -- 5.9 Appendix: Vision system for state recognition -- 5.10 Appendix: Notes on a biologically plausible implementation -- 5.11 Bibliography -- 6 Turing's Philosophical Error? -- 6.1 Turing's Machine -- 6.2 Digital Problems -- 6.3 Turing's Thesis -- 6.4 How Turing Built his Universal Machine -- 6.5 Gödel's Attempt to Break Turing's Thesis -- 6.6 Yes-or-No Questions -- 6.7 Material and Formal Proofs -- 6.8 The Dialectica Lecture -- 6.9 A Calculus of Concepts? -- 6.10 Turing's Error -- 6.11 Further Reading -- 6.12 Bibliography -- 7 Penrose's Philosophical Error -- 7.1 Can Computers Think? -- 7.2 Solving Problems in Arithmetic -- 7.3 The Barber Paradox -- 7.4 Gödel's Theorem -- 7.5 Penrose -- 7.6 A Computational Model for Thought? -- 7.7 Can Computers Think? -- 7.8 Appendix: Filling in Some Details -- 7.9 Bibliography -- 8 Attentional Modulation in Visual Pathways -- 8.1 Introduction -- 8.2 Structural Equation Modelling -- 8.3 Design and Image Acquisition -- 8.4 Image Analysis and Categorical Comparisons -- 8.5 Modelling of the Posterior Visual Pathway -- 8.6 Modelling Modulation by Interaction Terms -- 8.7 Interaction Effects Demonstrated with Regression Analysis -- 8.8 Regional Specificity -- 8.9 Conclusion -- 8.10 Bibliography -- 9 Neural Networks and the Mind -- 9.1 Introduction -- 9.2 The Relational Mind -- 9.3 Exploring the Relational Mind Model -- 9.4 Memory in the Relational Mind Model -- 9.5 A Neural Candidate for Global Control -- 9.6 Consciousness and Sites of Working Memory -- 9.7 Awareness of Words -- 9.8 Activity 'Bubbles' in Cortex -- 9.9 The Emergence of Qualia -- 9.10 Discussion -- 9.11 Bibliography -- 10 Confusions about Consciousness -- 10.1 Consciousness Studies -- 10.2 Bibliography -- 11 Round Table Discussion -- 11.1 Presentations -- 11.2 Audience Participation.