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