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2007 3rd International IEEE/EMBS Conference on Neural Engineering : Kohala Coast, Hawaii, 2-5 May 2007
| 2007 3rd International IEEE/EMBS Conference on Neural Engineering : Kohala Coast, Hawaii, 2-5 May 2007 |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 612.8 |
| Soggetto topico |
Neural networks (Neurobiology)
Neural networks (Computer science) Computational neuroscience |
| ISBN | 1-5090-8668-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
2007 3rd International IEEE/EMBS Conference on Neural Engineering
Computer Design |
| Record Nr. | UNISA-996280947903316 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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2007 3rd International IEEE/EMBS Conference on Neural Engineering : Kohala Coast, Hawaii, 2-5 May 2007
| 2007 3rd International IEEE/EMBS Conference on Neural Engineering : Kohala Coast, Hawaii, 2-5 May 2007 |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 612.8 |
| Soggetto topico |
Neural networks (Neurobiology)
Neural networks (Computer science) Computational neuroscience |
| ISBN |
9781509086689
1509086684 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
2007 3rd International IEEE/EMBS Conference on Neural Engineering
Computer Design |
| Record Nr. | UNINA-9910143014003321 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
| Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (585 pages) |
| Disciplina |
745.05
006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Computational neuroscience Computational Intelligence Machine Learning Computational Neuroscience |
| ISBN | 3-031-19032-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Neuroinformatics and Artificial Intelligence -- Tree Inventory with LiDAR Data -- Towards Reliable Solar Atmospheric Parameters Neural-Based Inference -- Addressing Task Prioritization in Model-based Reinforcement Learning -- Automatic Generation of Conversational Skills from Dialog Datasets -- Part II: Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Simulation -- Individual Topology Structure of Eye Movement Trajectories -- Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information -- Alpha Rhythm Dynamics During Spoken Word Recognition -- Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands -- A Software System for Training Motor Imagery in Virtual Reality -- On the Importance of Diversity -- “MYO-chat” – A New Computer Control System for People with Disabilities -- Low-bit Quantization of Transformer for Audio Speech Recognition -- A Model of Predicting andUsing Regularities by an Autonomous Agent -- A Review of One-Shot Neural Architecture Search Methods -- Does a Recurrent Neural Network Use Reflection During a Reflexive Game? -- A Gender Genetic Algorithm and its Comparison with Conventional Genetic Algorithm -- Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia -- Part III: Modern Methods and Technologies in Neurobiology -- Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat -- Search for Markers of Moderate Cognitive Disorders through Phase Synchronization between Rhythmic Photostimulus and EEG Pattern -- Astrocytes Enhance Image Representation Encoded in Spiking Neural Network -- Classification of Neuron Type Based on Average Activity -- Comparative Analysis of Statistical and Neural Network Classification Methods onthe Example of Synthesized Data in the Stimulus-Independent Brain-Computer Interface Paradigm -- Shunting Effect of Synaptic Channels Located on Presynaptic Terminal -- Analysis of Appearances, Formation and Evolution of Biological Functional Systems -- The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex -- To the Role of Inferior Olives in Cerebellar Neuromechanics -- Individual Differences in Mismatch-Induced c-Fos Expression in the Retrosplenial Cortex in Rats: Shift in Activity is Layer-Specific -- Sleep of Poor and Good Nappers under the Afternoon Exposure to Weak 2-Hz/8-Hz Electromagnetic Fields -- Part IV: Applications of Neural Networks -- Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network -- SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar -- IQ-GAN: Instance Quantized Image Synthesis -- Specifics of Crossbar Resistor Arrays -- Recurrent and Graph Neural Networksfor Particle Tracking at the BM@N Experiment -- Modeling of a Neural Network Algorithm for Suppressing Non-Stationary Interference in an Adaptive Antenna Array -- Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning -- Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation -- Global memory transformer for processing long documents -- Development of the Convolutional Neural Network for Defining the Renal Pathology Using Computed Tomography Images -- Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm -- DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English -- Multi-Input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks -- Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods -- Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data? -- Multitask learning for extensive object description to improve scene understanding on monocular video -- Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance -- Information processing in spiking neuron-astrocyte network in ageing -- Multilingual Case-insensitive Named Entity Recognition -- Multi-level Pipeline for Data Mining with Similar Structure -- Creating a Brief Review of Judicial Practice Using Clustering Methods -- Part V: Neural Network Theory, Concepts and Architectures -- "Gas” instead of “Liquid”: which Liquid State Machine is Better? -- Using a Resistor Array to Tackle Optimization Problems -- Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem -- DGAC: Dialog Graph AutoConstruction up on Data with a Regular Structure -- Relay System of Differential Equations with Delay as a Perceptron Model -- Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator? -- An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks -- Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy -- On the Similarities between Denoising Diffusion Models and Autoencoders. |
| Record Nr. | UNINA-9910627241903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI to Improve e-Governance and Eminence of Life : Kalyanathon 2020 / / edited by Somnath Mukhopadhyay, Sunita Sarkar, Jyotsna Kumar Mandal, Sudipta Roy
| AI to Improve e-Governance and Eminence of Life : Kalyanathon 2020 / / edited by Somnath Mukhopadhyay, Sunita Sarkar, Jyotsna Kumar Mandal, Sudipta Roy |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (189 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Political science Computational neuroscience Computational Intelligence Artificial Intelligence Governance and Government Computational Neuroscience |
| ISBN | 981-9946-77-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence for Rural Healthcare Management: Prognosis, Diagnosis and Treatment -- A Study using Support Vector Machine as a Tool for Patient’s Satisfaction for SARS-CoV-2 Cases Using Telemedicine -- Applications of AI and IoT technology in Protected Cultivation for Enhancing Agricultural Productivity: A Concise Review -- IoT Based Smart Farming Using AI -- Random Forest Algorithm for Plant Disease Prediction. |
| Record Nr. | UNINA-9910746087803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and knowledge engineering applications : a bioinspired approach : First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005 : proceedings, part II / / Jose Mira, Jose R. Alvarez (eds.)
| Artificial intelligence and knowledge engineering applications : a bioinspired approach : First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005 : proceedings, part II / / Jose Mira, Jose R. Alvarez (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2005 |
| Descrizione fisica | 1 online resource (XXIV, 638 p.) |
| Disciplina | 612.8/220113 |
| Altri autori (Persone) |
MiraJ (Jose)
AlvarezJose R <1965-> (Jose Ramon) |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Brain - Computer simulation
Artificial intelligence Computational neuroscience Biomimetics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computation -- Cultural Operators for a Quantum-Inspired Evolutionary Algorithm Applied to Numerical Optimization Problems -- New Codification Schemas for Scheduling with Genetic Algorithms -- Solving the Multidimensional Knapsack Problem Using an Evolutionary Algorithm Hybridized with Branch and Bound -- Cryptanalysis of Substitution Ciphers Using Scatter Search -- Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification -- Convergence Analysis of a GA-ICA Algorithm -- An Evolutionary Strategy for the Multidimensional 0-1 Knapsack Problem Based on Genetic Computation of Surrogate Multipliers -- An Evolutionary Approach to Designing and Solving Fuzzy Job-Shop Problems -- Memetic Algorithms with Partial Lamarckism for the Shortest Common Supersequence Problem -- 2D and 3D Pictural Networks of Evolutionary Processors -- Analysing Sentences with Networks of Evolutionary Processors -- Simulating Evolutionary Algorithms with Eco-grammar Systems -- Timed Accepting Hybrid Networks of Evolutionary Processors -- A New Immunotronic Approach to Hardware Fault Detection Using Symbiotic Evolution -- A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases -- Parallel Evolutionary Computation: Application of an EA to Controller Design -- MEPIDS: Multi-Expression Programming for Intrusion Detection System -- A Study of Heuristic Techniques Inspired in Natural Process for the Solution of the Container Fill Problem -- Attribute Grammar Evolution -- Evolution and Evaluation in Knowledge Fusion System -- The Allele Meta-model – Developing a Common Language for Genetic Algorithms -- Using Bees to Solve a Data-Mining Problem Expressed as a Max-Sat One -- A Comparison of GA and PSO for Excess Return Evaluation in Stock Markets -- Nonlinear Robust Identification Using Multiobjective Evolutionary Algorithms -- Genetic Algorithms for Multiobjective Controller Design -- Grammar Based Crossover Operator in Genetic Programming -- GA-Selection Revisited from an ES-Driven Point of View -- Agent WiSARD in a 3D World -- One Generalization of the Naive Bayes to Fuzzy Sets and the Design of the Fuzzy Naive Bayes Classifier -- Towards a Methodology to Search for Near-Optimal Representations in Classification Problems -- Playing a Toy-Grammar with GCS -- A Genetic Approach to Data Dimensionality Reduction Using a Special Initial Population -- Engineering Optimizations via Nature-Inspired Virtual Bee Algorithms -- Solving Partitioning Problem in Codesign with Ant Colonies -- Electronics and Robotics -- A Neuromimetic Integrated Circuit for Interactive Real-Time Simulation -- A FPGA Architecture of Blind Source Separation and Real Time Implementation -- Description and Simulation of Bio-inspired Systems Using VHDL–AMS -- Transistor-Level Circuit Experiments Using Evolvable Hardware -- An Electronic Reconfigurable Neural Architecture for Intrusion Detection -- Construction and VHDL Implementation of a Fully Local Network with Good Reconstruction Properties of the Inputs -- Reconfigurable Hardware Implementation of Neural Networks for Humanoid Locomotion -- An Associative Cortical Model of Language Understanding and Action Planning -- Neural Clustering Analysis of Macroevolutionary and Genetic Algorithms in the Evolution of Robot Controllers -- Induced Behavior in a Real Agent Using the Multilevel Darwinist Brain -- Landscaping Model for Virtual Environment -- Other Applications -- Sensitivity from Short-Term Memory vs. Stability from Long-Term Memory in Visual Attention Method -- Visual Attention, Visual Saliency, and Eye Movements During the Inspection of Natural Scenes -- Model Performance for Visual Attention in Real 3D Color Scenes -- On the Evolution of Formal Models and Artificial Neural Architectures for Visual Motion Detection -- Estimation of Fuel Moisture Content Using Neural Networks -- Adjustment of Surveillance Video Systems by a Performance Evaluation Function -- Application of Machine Learning Techniques for Simplifying the Association Problem in a Video Surveillance System -- A Neurocalibration Model for Autonomous Vehicle Navigation -- Some Remarks on the Application of Artificial Neural Networks to Optical Character Recognition -- Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals -- Information Retrieval and Classification with Wavelets and Support Vector Machines -- A New Approach to Clustering and Object Detection with Independent Component Analysis -- Bispectra Analysis-Based VAD for Robust Speech Recognition -- On-line Training of Neural Networks: A Sliding Window Approach for the Levenberg-Marquardt Algorithm -- Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems -- On the Connection Between the Human Visual System and Independent Component Analysis -- Image Classifier for the TJ-II Thomson Scattering Diagnostic: Evaluation with a Feed Forward Neural Network -- Computerized Adaptive Tests and Item Response Theory on a Distance Education Platform -- Stochastic Vs Deterministic Traffic Simulator. Comparative Study for Its Use Within a Traffic Light Cycles Optimization Architecture. |
| Altri titoli varianti | IWINAC 2005 |
| Record Nr. | UNINA-9910485021603321 |
| Berlin, : Springer, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial neural networks : formal models and their applications : ICANN 2005 : 15th International Conference, Warsaw, Poland, September 11-15, 2005 : proceedings, pt. II / / Wodzisaw Duch ... [et al.] (eds.)
| Artificial neural networks : formal models and their applications : ICANN 2005 : 15th International Conference, Warsaw, Poland, September 11-15, 2005 : proceedings, pt. II / / Wodzisaw Duch ... [et al.] (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2005 |
| Descrizione fisica | 1 online resource (XXXII, 1045 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | DuchWodzisaw |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Neural networks (Neurobiology)
Neural networks (Computer science) Computational neuroscience |
| ISBN | 3-540-28756-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | New Neural Network Models -- Supervised Learning Algorithms -- Ensemble-Based Learning -- Unsupervised Learning -- Recurrent Neural Networks -- Reinforcement Learning -- Bayesian Approaches to Learning -- Learning Theory -- Artificial Neural Networks for System Modeling, Decision Making, Optimalization and Control -- Special Session: Knowledge Extraction from Neural Networks Organizer and Chair: D. A. Elizondo -- Temporal Data Analysis, Prediction and Forecasting -- Support Vector Machines and Kernel-Based Methods -- Soft Computing Methods for Data Representation, Analysis and Processing -- Special Session: Data Fusion for Industrial, Medical and Environmental Applications Organizers and Chairs: D. Mandic, D. Obradovic -- Special Session: Non-linear Predictive Models for Speech Processing Organizers and Chairs: M. Chetouani, M. Faundez-Zanuy, B. Gas, A. Hussain -- Special Session: Intelligent Multimedia and Semantics Organizers and Chairs: Y. Avrithis, S. Kollias -- Applications to Natural Language Proceesing -- Various Applications -- Special Session: Computational Intelligence in Games Organizer and Chair: J. Ma´ndziuk -- Issues in Hardware Implementation -- Erratum. |
| Record Nr. | UNINA-9910483490203321 |
| Berlin, : Springer, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basal ganglia [[electronic resource] ] : physiological, behavioral, and computational studies / / topic editors: Ahmed A. Moustafa, Alon Korngreen, Izhar Bar-Gad and Hagai Bergman
| Basal ganglia [[electronic resource] ] : physiological, behavioral, and computational studies / / topic editors: Ahmed A. Moustafa, Alon Korngreen, Izhar Bar-Gad and Hagai Bergman |
| Autore | Ahmed A. Moustafa |
| Pubbl/distr/stampa | Frontiers Media SA, 2015 |
| Descrizione fisica | 1 online resource (494 pages) : illustrations; digital, PDF file(s) |
| Collana |
Frontiers Research Topics
Frontiers in Computational Neuroscience Frontiers in Systems Neuroscience |
| Soggetto topico |
Basal ganglia
Basal ganglia - Physiology Basal ganglia - Research Computational neuroscience Neurobiology - Mathematical models Basal Ganglia - physiopathology |
| Soggetto genere / forma | Congress. |
| Soggetto non controllato |
Subthalamic Nucleus
dopaime Parkinson's disease (PD) human imagine studies animal studies Basal Ganglia computational modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910137217403321 |
Ahmed A. Moustafa
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| Frontiers Media SA, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Filter Design for Computational Medicine : A State-Space Estimation Framework / / by Dilranjan S. Wickramasuriya, Rose T. Faghih
| Bayesian Filter Design for Computational Medicine : A State-Space Estimation Framework / / by Dilranjan S. Wickramasuriya, Rose T. Faghih |
| Autore | Wickramasuriya Dilranjan S |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina |
612.8
570.285 |
| Altri autori (Persone) | FaghihRose T |
| Soggetto topico |
Computational neuroscience
Neurotechnology (Bioengineering) Biomedical engineering Signal processing Biophysics Cell interaction Computational Neuroscience Neuroengineering Biomedical Engineering and Bioengineering Digital and Analog Signal Processing Mechanobiological Cell Signaling |
| ISBN | 3-031-47104-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Some Useful Statistical Results -- State-space Model with One Binary Observation -- State-space Model with One Binary and One Continuous Observation -- State-space Model with One Binary and Two Continuous Observations -- State-space Model with One Binary, Two Continuous and a Spiking-type Observation -- State-space Model with One Marked Point Process (MPP) Observation -- Additional Models and Derivations -- MATLAB Code Examples -- List of Supplementary MATLAB Functions. |
| Record Nr. | UNINA-9910845077403321 |
|
Wickramasuriya Dilranjan S
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biophysics of computation [[electronic resource] ] : information processing in single neurons / / Christof Koch
| Biophysics of computation [[electronic resource] ] : information processing in single neurons / / Christof Koch |
| Autore | Koch Christof <1956-> |
| Pubbl/distr/stampa | New York, : Oxford University Press, 1999 |
| Descrizione fisica | 1 online resource (587 p.) |
| Disciplina | 573.8/536 |
| Collana | Computational neuroscience |
| Soggetto topico |
Computational neuroscience
Neurons Neural networks (Neurobiology) Action potentials (Electrophysiology) Neural conduction |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-756233-7
1-280-59509-4 9786613624925 0-19-976055-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Preface; List of Symbols; Introduction; 1 The Membrane Equation; 1.1 Structure of the Passive Neuronal Membrane; 1.1.1 Resting Potential; 1.1.2 Membrane Capacity; 1.1.3 Membrane Resistance; 1.2 A Simple RC Circuit; 1.3 RC Circuits as Linear Systems; 1.3.1 Filtering by RC Circuits; 1.4 Synaptic Input; 1.5 Synaptic Input Is Nonlinear; 1.5.1 Synaptic Input, Saturation, and the Membrane Time Constant; 1.5.2 Synaptic Interactions among Excitation and Shunting Inhibition; 1.5.3 Gain Normalization in Visual Cortex and Synaptic Input; 1.6 Recapitulation; 2 Linear Cable Theory
2.1 Basic Assumptions Underlying One-Dimensional Cable Theory2.1.1 Linear Cable Equation; 2.2 Steady-State Solutions; 2.2.1 Infinite Cable; 2.2.2 Finite Cable; 2.3 Time-Dependent Solutions; 2.3.1 Infinite Cable; 2.3.2 Finite Cable; 2.4 Neuronal Delays and Propagation Velocity; 2.5 Recapitulation; 3 Passive Dendritic Trees; 3.1 Branched Cables; 3.1.1 What Happens at Branch Points?; 3.2 Equivalent Cylinder; 3.3 Solving the Linear Cable Equation for Branched Structures; 3.3.1 Exact Methods; 3.3.2 Compartmental Modeling; 3.4 Transfer Resistances; 3.4.1 General Definition; 3.4.2 An Example 3.4.3 Properties of K[sub(ij)]3.4.4 Transfer Resistances in a Pyramidal Cell; 3.5 Measures of Synaptic Efficiency; 3.5.1 Electrotonic Distance; 3.5.2 Voltage Attenuation; 3.5.3 Charge Attenuation; 3.5.4 Graphical Morphoelectrotonic Transforms; 3.6 Signal Delays in Dendritic Trees; 3.6.1 Experimental Determination of T[sub(m)]; 3.6.2 Local and Propagation Delays in Dendritic Trees; 3.6.3 Dependence of Fast Synaptic Inputs on Cable Parameters; 3.7 Recapitulation; 4 Synaptic Input; 4.1 Neuronal and Synaptic Packing Densities; 4.2 Synaptic Transmission Is Stochastic 4.2.1 Probability of Synaptic Release p4.2.2 What Is the Synaptic Weight?; 4.3 Neurotransmitters; 4.4 Synaptic Receptors; 4.5 Synaptic Input as Conductance Change; 4.5.1 Synaptic Reversal Potential in Series with an Increase in Conductance; 4.5.2 Conductance Decreasing Synapses; 4.6 Excitatory NMDA and Non-NMDA Synaptic Input; 4.7 Inhibitory GABAergic Synaptic Input; 4.8 Postsynaptic Potential; 4.8.1 Stationary Synaptic Input; 4.8.2 Transient Synaptic Input; 4.8.3 Infinitely Fast Synaptic Input; 4.9 Visibility of Synaptic Inputs; 4.9.1 Input Impedance in the Presence of Synaptic Input 4.10 Electrical Gap Junctions4.11 Recapitulation; 5 Synaptic Interactions in a Passive Dendritic Tree; 5.1 Nonlinear Interaction among Excitation and Inhibition; 5.1.1 Absolute versus Relative Suppression; 5.1.2 General Analysis of Synaptic Interaction in a Passive Tree; 5.1.3 Location of the Inhibitory Synapse; 5.1.4 Shunting Inhibition Implements a ""Dirty"" Multiplication; 5.1.5 Hyperpolarizing Inhibition Acts Like a Linear Subtraction; 5.1.6 Functional Interpretation of the Synaptic Architecture and Dendritic Morphology: AND-NOT Gates 5.1.7 Retinal Directional Selectivity and Synaptic Logic |
| Record Nr. | UNINA-9910457836903321 |
|
Koch Christof <1956->
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| New York, : Oxford University Press, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biophysics of computation [[electronic resource] ] : information processing in single neurons / / Christof Koch
| Biophysics of computation [[electronic resource] ] : information processing in single neurons / / Christof Koch |
| Autore | Koch Christof <1956-> |
| Pubbl/distr/stampa | New York, : Oxford University Press, 1999 |
| Descrizione fisica | 1 online resource (587 p.) |
| Disciplina | 573.8/536 |
| Collana | Computational neuroscience |
| Soggetto topico |
Computational neuroscience
Neurons Neural networks (Neurobiology) Action potentials (Electrophysiology) Neural conduction |
| ISBN |
0-19-029285-7
0-19-756233-7 1-280-59509-4 9786613624925 0-19-976055-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Preface; List of Symbols; Introduction; 1 The Membrane Equation; 1.1 Structure of the Passive Neuronal Membrane; 1.1.1 Resting Potential; 1.1.2 Membrane Capacity; 1.1.3 Membrane Resistance; 1.2 A Simple RC Circuit; 1.3 RC Circuits as Linear Systems; 1.3.1 Filtering by RC Circuits; 1.4 Synaptic Input; 1.5 Synaptic Input Is Nonlinear; 1.5.1 Synaptic Input, Saturation, and the Membrane Time Constant; 1.5.2 Synaptic Interactions among Excitation and Shunting Inhibition; 1.5.3 Gain Normalization in Visual Cortex and Synaptic Input; 1.6 Recapitulation; 2 Linear Cable Theory
2.1 Basic Assumptions Underlying One-Dimensional Cable Theory2.1.1 Linear Cable Equation; 2.2 Steady-State Solutions; 2.2.1 Infinite Cable; 2.2.2 Finite Cable; 2.3 Time-Dependent Solutions; 2.3.1 Infinite Cable; 2.3.2 Finite Cable; 2.4 Neuronal Delays and Propagation Velocity; 2.5 Recapitulation; 3 Passive Dendritic Trees; 3.1 Branched Cables; 3.1.1 What Happens at Branch Points?; 3.2 Equivalent Cylinder; 3.3 Solving the Linear Cable Equation for Branched Structures; 3.3.1 Exact Methods; 3.3.2 Compartmental Modeling; 3.4 Transfer Resistances; 3.4.1 General Definition; 3.4.2 An Example 3.4.3 Properties of K[sub(ij)]3.4.4 Transfer Resistances in a Pyramidal Cell; 3.5 Measures of Synaptic Efficiency; 3.5.1 Electrotonic Distance; 3.5.2 Voltage Attenuation; 3.5.3 Charge Attenuation; 3.5.4 Graphical Morphoelectrotonic Transforms; 3.6 Signal Delays in Dendritic Trees; 3.6.1 Experimental Determination of T[sub(m)]; 3.6.2 Local and Propagation Delays in Dendritic Trees; 3.6.3 Dependence of Fast Synaptic Inputs on Cable Parameters; 3.7 Recapitulation; 4 Synaptic Input; 4.1 Neuronal and Synaptic Packing Densities; 4.2 Synaptic Transmission Is Stochastic 4.2.1 Probability of Synaptic Release p4.2.2 What Is the Synaptic Weight?; 4.3 Neurotransmitters; 4.4 Synaptic Receptors; 4.5 Synaptic Input as Conductance Change; 4.5.1 Synaptic Reversal Potential in Series with an Increase in Conductance; 4.5.2 Conductance Decreasing Synapses; 4.6 Excitatory NMDA and Non-NMDA Synaptic Input; 4.7 Inhibitory GABAergic Synaptic Input; 4.8 Postsynaptic Potential; 4.8.1 Stationary Synaptic Input; 4.8.2 Transient Synaptic Input; 4.8.3 Infinitely Fast Synaptic Input; 4.9 Visibility of Synaptic Inputs; 4.9.1 Input Impedance in the Presence of Synaptic Input 4.10 Electrical Gap Junctions4.11 Recapitulation; 5 Synaptic Interactions in a Passive Dendritic Tree; 5.1 Nonlinear Interaction among Excitation and Inhibition; 5.1.1 Absolute versus Relative Suppression; 5.1.2 General Analysis of Synaptic Interaction in a Passive Tree; 5.1.3 Location of the Inhibitory Synapse; 5.1.4 Shunting Inhibition Implements a ""Dirty"" Multiplication; 5.1.5 Hyperpolarizing Inhibition Acts Like a Linear Subtraction; 5.1.6 Functional Interpretation of the Synaptic Architecture and Dendritic Morphology: AND-NOT Gates 5.1.7 Retinal Directional Selectivity and Synaptic Logic |
| Record Nr. | UNINA-9910779059703321 |
|
Koch Christof <1956->
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| New York, : Oxford University Press, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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