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010703s2001 gw a b 001 0 eng |
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|a 2001038412
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|a 354042363X (soft cover : alk. paper)
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|a DLC
|c DLC
|d HR-ZaFER
|b hrv
|e ppiak
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|a pcc
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|a QA76.9.A73
|b E57 2001
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|a 006.3/2
|2 21
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|a Emergent neural computational architectures based on neuroscience :
|b towards neuroscience-inspired computing /
|c Stefan Wermter, Jim Austin, David Willshaw.
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| 260 |
|
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|a Berlin ;
|a New York :
|b Springer-Verlag,
|c 2001.
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| 300 |
|
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|a x, 576 p. :
|b ill. ;
|c 24 cm.
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| 490 |
1 |
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|a Lecture notes in computer science ;
|v 2036.
|a Lecture notes in artificial intelligence
|
| 504 |
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|a Includes bibliographical references and index.
|
| 506 |
0 |
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|a Towards Novel Neuroscience-Inspired Computing --- Stefan Wermter, Mark Elshaw, Jim Austin, David Willshaw
|
| 506 |
0 |
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|a Images of the Mind: Brain Images and Neural Networks --- John G. Taylor
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| 506 |
0 |
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|a Stimulus-Independent Data Analysis for fMRI --- Silke Dodel, J. Michael Herrmann, Theo Geisel
|
| 506 |
0 |
|
|a Emergence of Modularity within One Sheet of Neurons: A Model Comparison --- Cornelius Weber, Klaus Obermayer
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| 506 |
0 |
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|a Computational Investigation of Hemispheric Specialization and Interactions --- James A. Reggia, Yuri Shkuro, Natalia Shevtsova
|
| 506 |
0 |
|
|a Explorations of the Interaction between Split Processing and Stimulus Types --- John Hicks, Padraic Monaghan
|
| 506 |
0 |
|
|a Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization --- Joanna Bryson, Lynn Andrea Stein
|
| 506 |
0 |
|
|a Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System --- Gustavo Deco
|
| 506 |
0 |
|
|a Recurrent Long-Range Interactions in Early Vision --- Thorsten Hansen, Wolfgang Sepp, Heiko Neumann
|
| 506 |
0 |
|
|a Neural Mechanisms for Representing Surface and Contour Features --- Thorsten Hansen, Heiko Neumann
|
| 506 |
0 |
|
|a Representations of Neuronal Models Using Minimal and Bilinear Realisations --- Gary G. R. Green, Will Woods, S. Manchanda
|
| 506 |
0 |
|
|a Collaborative Cell Assemblies: Building Blocks of Cortical Computation --- Ronan G. Reilly
|
| 506 |
0 |
|
|a On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex --- Hauke Bartsch, Martin Stetter, Klaus Obermayer
|
| 506 |
0 |
|
|a Towards Computational Neural Systems through Developmental Evolution --- Alistair G. Rust, Rod Adams, Stella George, Hamid Bolouri
|
| 506 |
0 |
|
|a The Complexity of the Brain: Structural, Functional, and Dynamic Modules --- Péter Érdi, Tamás Kiss
|
| 506 |
0 |
|
|a Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission --- Simon R. Schultz, Huw D. R. Golledge, Stefano Panzeri
|
| 506 |
0 |
|
|a Segmenting State into Entities and Its Implication for Learning --- James Henderson
|
| 506 |
0 |
|
|a Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain --- Roman Borisyuk, Galina Borisyuk, Yakov Kazanovich
|
| 506 |
0 |
|
|a Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle --- Guido Bugmann
|
| 506 |
0 |
|
|a Locust Olfaction --- David C. Sterratt
|
| 506 |
0 |
|
|a Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays --- David M. Halliday
|
| 506 |
0 |
|
|a The Role of Brain Chaos --- Péter András
|
| 506 |
0 |
|
|a Neural Network Classification of Word Evoked Neuromagnetic Brain Activity --- Ramin Assadollahi, Friedemann Pulvermüller
|
| 506 |
0 |
|
|a Simulation Studies of the Speed of Recurrent Processing --- Stefano Panzeri, Edmund T. Rolls, Francesco P. Battaglia, Ruth Lavis
|
| 506 |
0 |
|
|a The Dynamics of Learning and Memory: Lessons from Neuroscience --- Michael J. Denham
|
| 506 |
0 |
|
|a Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation --- Lokendra Shastri
|
| 506 |
0 |
|
|a Plasticity and Nativism: Towards a Resolution of an Apparent Paradox --- Gary F. Marcus
|
| 506 |
0 |
|
|a Cell Assemblies as an Intermediate Level Model of Cognition --- Christian R. Huyck
|
| 506 |
0 |
|
|a Modelling Higher Cognitive Functions with Hebbian Cell Assemblies --- Marcin Chady
|
| 506 |
0 |
|
|a Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity --- Andreas Knoblauch, Günther Palm
|
| 506 |
0 |
|
|a A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex --- Rafal Bogacz, Christophe Giraud-Carrier, Malcolm W. Brown
|
| 506 |
0 |
|
|a Linguistic Computation with State Space Trajectories --- Hermann Moisl
|
| 506 |
0 |
|
|a Robust Stimulus Encoding in Olfactory Processing: Hyperacuity and Efficient Signal Transmission --- Tim Pearce, Paul Verschure, Joel White, John Kauer
|
| 506 |
0 |
|
|a Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models? --- Mikel L. Forcada, Rafael C. Carrasco
|
| 506 |
0 |
|
|a An Investigation into the Role of Cortical Synaptic Depression in Auditory Processing --- Sue L. Denham, Michael J. Denham
|
| 506 |
0 |
|
|a The Role of Memory, Anxiety, and Hebbian Learning in Hippocampal Function: Novel Explorations in Computational Neuroscience and Robotics --- John F. Kazer, Amanda J. C. Sharkey
|
| 506 |
0 |
|
|a Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots --- Andrés Pérez-Uribe
|
| 506 |
0 |
|
|a Connectionist Propositional Logic A Simple Correlation Matrix Memory Based Reasoning System --- Daniel Kustrin, Jim Austin
|
| 506 |
0 |
|
|a Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources --- Doina Caragea, Adrian Silvescu, Vasant Honavar
|
| 506 |
0 |
|
|a Connectionist Neuroimaging --- Stephen José Hanson, Michiro Negishi, Catherine Hanson
|
| 650 |
|
0 |
|a Computer architecture.
|
| 650 |
|
0 |
|a Neural computers.
|
| 650 |
|
0 |
|a Neural networks (Computer science)
|
| 700 |
1 |
|
|a Wermter, Stefan.
|
| 700 |
1 |
|
|a Austin, James,
|d 1959-
|
| 700 |
1 |
|
|a Willshaw, David J.
|
| 830 |
|
0 |
|a Lecture notes in computer science ;
|v 2036.
|
| 830 |
|
0 |
|a Lecture notes in computer science.
|p Lecture notes in artificial intelligence.
|
| 856 |
4 |
2 |
|3 Publisher description
|u http://www.loc.gov/catdir/enhancements/fy0812/2001038412-d.html
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|a 7
|b cbc
|c orignew
|d 1
|e ocip
|f 20
|g y-gencatlg
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| 942 |
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|2 udc
|c K
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| 955 |
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|a pc25 2001-07-03 to ASCD
|i jf02 2001-07-05
|a aa11 2001-07-06
|a ps11 2001-09-13 bk rec'd, to CIP ver.
|a jf00 2001-09-19;
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|c 34818
|d 34818
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