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
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conf/neuroscience/WermterAWE01
Modular Organisation and Robustness
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conf/neuroscience/Taylor01 John G. Taylor :
Images of the Mind: Brain Images and Neural Networks.
20-38
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Gustavo Deco :
Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System.
114-126
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conf/neuroscience/Reilly01 Ronan G. Reilly :
Collaborative Cell Assemblies: Building Blocks of Cortical Computation.
161-173
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conf/neuroscience/ErdiK01 Péter Érdi ,
Tamás Kiss :
The Complexity of the Brain: Structural, Functional, and Dynamic Modules.
203-211
Timing and Synchronisation
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conf/neuroscience/SchultzGP01 export record as
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conf/neuroscience/Henderson01 James Henderson :
Segmenting State into Entities and Its Implication for Learning.
227-236
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conf/neuroscience/Bugmann01 Guido Bugmann :
Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle.
255-269
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conf/neuroscience/Halliday01 David M. Halliday :
Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays.
285-295
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Learning and Memory Storag
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conf/neuroscience/Denham01 Michael J. Denham :
The Dynamics of Learning and Memory: Lessons from Neuroscience.
333-347
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conf/neuroscience/Shastri01 Lokendra Shastri :
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation.
348-367
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conf/neuroscience/Marcus01 Gary F. Marcus :
Plasticity and Nativism: Towards a Resolution of an Apparent Paradox.
368-382
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conf/neuroscience/Chady01 Marcin Chady :
Modelling Higher Cognitive Functions with Hebbian Cell Assemblies.
398-406
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conf/neuroscience/Moisl01 Hermann Moisl :
Linguistic Computation with State Space Trajectories.
442-460
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conf/neuroscience/KazerS01 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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conf/neuroscience/Perez-Uribe01 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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