LEADER 07239nam 22007815 450 001 9910143597803321 005 20200702115951.0 010 $a3-540-44597-8 024 7 $a10.1007/3-540-44597-8 035 $a(CKB)1000000000211478 035 $a(SSID)ssj0000322883 035 $a(PQKBManifestationID)11238734 035 $a(PQKBTitleCode)TC0000322883 035 $a(PQKBWorkID)10296003 035 $a(PQKB)10720207 035 $a(DE-He213)978-3-540-44597-5 035 $a(MiAaPQ)EBC3071663 035 $a(PPN)15523174X 035 $a(EXLCZ)991000000000211478 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEmergent Neural Computational Architectures Based on Neuroscience $eTowards Neuroscience-Inspired Computing /$fedited by Stefan Wermter, Jim Austin, David Willshaw 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (X, 582 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2036 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-42363-X 320 $aIncludes bibliographical references and index. 327 $aTowards Novel Neuroscience-Inspired Computing -- Towards Novel Neuroscience-Inspired Computing -- Modular Organisation and Robustness -- Images of the Mind: Brain Images and Neural Networks -- Stimulus-Independent Data Analysis for fMRI -- Emergence of Modularity within One Sheet of Neurons: A Model Comparison -- Computational Investigation of Hemispheric Specialization and Interactions -- Explorations of the Interaction between Split Processing and Stimulus Types -- Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization -- Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System -- Recurrent Long-Range Interactions in Early Vision -- Neural Mechanisms for Representing Surface and Contour Features -- Representations of Neuronal Models Using Minimal and Bilinear Realisations -- Collaborative Cell Assemblies: Building Blocks of Cortical Computation -- On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex -- Towards Computational Neural Systems through Developmental Evolution -- The Complexity of the Brain: Structural, Functional, and Dynamic Modules -- Timing and Synchronisation -- Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission -- Segmenting State into Entities and Its Implication for Learning -- Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain -- Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle -- Locust Olfaction -- Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays -- The Role of Brain Chaos -- Neural Network Classification of Word Evoked Neuromagnetic Brain Activity -- Simulation Studies of the Speed of Recurrent Processing -- Learning and Memory Storage -- The Dynamics of Learning and Memory: Lessons from Neuroscience -- Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation -- Plasticity and Nativism: Towards a Resolution of an Apparent Paradox -- Cell Assemblies as an Intermediate Level Model of Cognition -- Modelling Higher Cognitive Functions with Hebbian Cell Assemblies -- Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity -- A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex -- Linguistic Computation with State Space Trajectories -- Robust Stimulus Encoding in Olfactory Processing: Hyperacuity and Efficient Signal Transmission -- Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models? -- An Investigation into the Role of Cortical Synaptic Depression in Auditory Processing -- The Role of Memory, Anxiety, and Hebbian Learning in Hippocampal Function: Novel Explorations in Computational Neuroscience and Robotics -- Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots -- Connectionist Propositional Logic A Simple Correlation Matrix Memory Based Reasoning System -- Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources -- Connectionist Neuroimaging. 330 $aIt is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage. 410 0$aLecture Notes in Artificial Intelligence ;$v2036 606 $aArtificial intelligence 606 $aComputers 606 $aAlgorithms 606 $aPattern recognition 606 $aNeurology  606 $aNeurosciences 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aNeurology$3https://scigraph.springernature.com/ontologies/product-market-codes/H36001 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aAlgorithms. 615 0$aPattern recognition. 615 0$aNeurology . 615 0$aNeurosciences. 615 14$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aPattern Recognition. 615 24$aNeurology. 615 24$aNeurosciences. 676 $a006.3/2 702 $aWermter$b Stefan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAustin$b Jim$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWillshaw$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910143597803321 996 $aEmergent neural computational architectures based on neuroscience$9967408 997 $aUNINA