Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Emergent Neural Computational Architectures Based on Neuroscience [[electronic resource] ] : Towards Neuroscience-Inspired Computing / / edited by Stefan Wermter, Jim Austin, David Willshaw
| Emergent Neural Computational Architectures Based on Neuroscience [[electronic resource] ] : Towards Neuroscience-Inspired Computing / / edited by Stefan Wermter, Jim Austin, David Willshaw |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (X, 582 p.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Pattern recognition Neurology Neurosciences Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Pattern Recognition Neurology |
| ISBN | 3-540-44597-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards 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. |
| Record Nr. | UNISA-996465780703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Emergent Neural Computational Architectures Based on Neuroscience : Towards Neuroscience-Inspired Computing / / edited by Stefan Wermter, Jim Austin, David Willshaw
| Emergent Neural Computational Architectures Based on Neuroscience : Towards Neuroscience-Inspired Computing / / edited by Stefan Wermter, Jim Austin, David Willshaw |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (X, 582 p.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Pattern recognition Neurology Neurosciences Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Pattern Recognition Neurology |
| ISBN | 3-540-44597-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards 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. |
| Record Nr. | UNINA-9910143597803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||