Emergent Neural Computational Architectures Based on Neuroscience 2001

• Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw:
  Towards Novel Neuroscience-Inspired Computing. 1-19
  

Modular Organisation and Robustness

• John G. Taylor:
  Images of the Mind: Brain Images and Neural Networks. 20-38
  
• Silke Dodel, J. Michael Herrmann, Theo Geisel:
  Stimulus-Independent Data Analysis for fMRI. 39-53
  
• Cornelius Weber, Klaus Obermayer:
  Emergence of Modularity within One Sheet of Neurons: A Model Comparison. 53-67
  
• James A. Reggia, Yuri Shkuro, Natalia Shevtsova:
  Computational Investigation of Hemispheric Specialization and Interactions. 68-82
  
• John Hicks, Padraic Monaghan:
  Explorations of the Interaction between Split Processing and Stimulus Types. 83-97
  
• Joanna Bryson, Lynn Andrea Stein:
  Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization. 98-113
  
• Gustavo Deco:
  Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System. 114-126
  
• Thorsten Hansen, Wolfgang Sepp, Heiko Neumann:
  Recurrent Long-Range Interactions in Early Vision. 127-138
  
• Thorsten Hansen, Heiko Neumann:
  Neural Mechanisms for Representing Surface and Contour Features. 139-153
  
• Gary G. R. Green, Will P. Woods, S. Manchanda:
  Representations of Neuronal Models Using Minimal and Bilinear Realisations. 154-160
  
• Ronan G. Reilly:
  Collaborative Cell Assemblies: Building Blocks of Cortical Computation. 161-173
  
• Hauke Bartsch, Martin Stetter, Klaus Obermayer:
  On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. 174-187
  
• Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri:
  Towards Computational Neural Systems through Developmental Evolution. 188-202
  
• Péter Érdi, Tamás Kiss:
  The Complexity of the Brain: Structural, Functional, and Dynamic Modules. 203-211
  

Timing and Synchronisation

• Simon R. Schultz, Huw D. R. Golledge, Stefano Panzeri:
  Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission. 212-226
  
• James Henderson:
  Segmenting State into Entities and Its Implication for Learning. 227-236
  
• Roman Borisyuk, Galina Borisyuk, Yakov B. Kazanovich:
  Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain. 237-254
  
• Guido Bugmann:
  Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle. 255-269
  
• David C. Sterratt:
  Locust Olfaction. 270-284
  
• David M. Halliday:
  Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays. 285-295
  
• Péter András:
  The Role of Brain Chaos. 296-310
  
• Ramin Assadollahi, Friedemann Pulvermüller:
  Neural Network Classification of Word Evoked Neuromagnetic Brain Activity. 311-319
  
• Stefano Panzeri, Edmund T. Rolls, Francesco P. Battaglia, Ruth Lavis:
  Simulation Studies of the Speed of Recurrent Processing. 320-332
  

Learning and Memory Storag

• Michael J. Denham:
  The Dynamics of Learning and Memory: Lessons from Neuroscience. 333-347
  
• Lokendra Shastri:
  Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation. 348-367
  
• Gary F. Marcus:
  Plasticity and Nativism: Towards a Resolution of an Apparent Paradox. 368-382
  
• Christian R. Huyck:
  Cell Assemblies as an Intermediate Level Model of Cognition. 383-397
  
• Marcin Chady:
  Modelling Higher Cognitive Functions with Hebbian Cell Assemblies. 398-406
  
• Andreas Knoblauch, Günther Palm:
  Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity. 407-427
  
• Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier:
  A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex. 428-441
  
• Hermann Moisl:
  Linguistic Computation with State Space Trajectories. 442-460
  
• Tim Pearce, Paul F. M. J. Verschure, Joel White, John Kauer:
  Robust Stimulus Encoding in Olfactory Processing: Hyperacuity and Efficient Signal Transmission. 461-479
  
• Mikel L. Forcada, Rafael C. Carrasco:
  Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models? 480-493
  
• Sue L. Denham, Michael J. Denham:
  An Investigation into the Role of Cortical Synaptic Depression in Auditory Processing. 494-506
  
• John F. Kazer, Amanda J. C. Sharkey:
  The Role of Memory, Anxiety, and Hebbian Learning in Hippocampal Function: Novel Explorations in Computational Neuroscience and Robotics. 507-521
  
• Andrés Pérez-Uribe:
  Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots. 522-533
  
• Daniel Kustrin, Jim Austin:
  Connectionist Propositional Logic. 534-546
  
• Doina Caragea, Adrian Silvescu, Vasant Honavar:
  Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. 547-559
  
• Stephen José Hanson, Michiro Negishi, Catherine Hanson:
  Connectionist Neuroimaging. 560-576
  

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