Emergent Neural Computational Architectures Based on Neuroscience 2001

Stefan Wermter, Jim Austin, David J. Willshaw (Eds.): Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Lecture Notes in Computer Science 2036 Springer 2001, ISBN 3-540-42363-X BibTeX

@proceedings{DBLP:conf/neuroscience/2001,
  editor    = {Stefan Wermter and
               Jim Austin and
               David J. Willshaw},
  title     = {Emergent Neural Computational Architectures Based on Neuroscience
               - Towards Neuroscience-Inspired Computing},
  booktitle = {Emergent Neural Computational Architectures Based on Neuroscience},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2036},
  year      = {2001},
  isbn      = {3-540-42363-X},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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

John G. Taylor:
Images of the Mind: Brain Images and Neural Networks. 20-38
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Silke Dodel, J. Michael Herrmann, Theo Geisel:
Stimulus-Independent Data Analysis for fMRI. 39-53
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Cornelius Weber, Klaus Obermayer:
Emergence of Modularity within One Sheet of Neurons: A Model Comparison. 53-67
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James A. Reggia, Yuri Shkuro, Natalia Shevtsova:
Computational Investigation of Hemispheric Specialization and Interactions. 68-82
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John Hicks, Padraic Monaghan:
Explorations of the Interaction between Split Processing and Stimulus Types. 83-97
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Joanna Bryson, Lynn Andrea Stein:
Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization. 98-113
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Gustavo Deco:
Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System. 114-126
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Thorsten Hansen, Wolfgang Sepp, Heiko Neumann:
Recurrent Long-Range Interactions in Early Vision. 127-138
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Thorsten Hansen, Heiko Neumann:
Neural Mechanisms for Representing Surface and Contour Features. 139-153
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Gary G. R. Green, Will Woods, S. Manchanda:
Representations of Neuronal Models Using Minimal and Bilinear Realisations. 154-160
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Ronan G. Reilly:
Collaborative Cell Assemblies: Building Blocks of Cortical Computation. 161-173
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Hauke Bartsch, Martin Stetter, Klaus Obermayer:
On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. 174-187
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Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri:
Towards Computational Neural Systems through Developmental Evolution. 188-202
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Péter Érdi, Tamás Kiss:
The Complexity of the Brain: Structural, Functional, and Dynamic Modules. 203-211
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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
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James Henderson:
Segmenting State into Entities and Its Implication for Learning. 227-236
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Roman Borisyuk, Galina Borisyuk, Yakov B. Kazanovich:
Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain. 237-254
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Guido Bugmann:
Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle. 255-269
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David C. Sterratt:
Locust Olfaction. 270-284
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David M. Halliday:
Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays. 285-295
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Péter András:
The Role of Brain Chaos. 296-310
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Ramin Assadollahi, Friedemann Pulvermüller:
Neural Network Classification of Word Evoked Neuromagnetic Brain Activity. 311-319
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Stefano Panzeri, Edmund T. Rolls, Francesco P. Battaglia, Ruth Lavis:
Simulation Studies of the Speed of Recurrent Processing. 320-332
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Learning and Memory Storag

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