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Biohybrid systems [[electronic resource] ] : nerves, interfaces, and machines / / edited by Ranu Jung
| Biohybrid systems [[electronic resource] ] : nerves, interfaces, and machines / / edited by Ranu Jung |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2011 |
| Descrizione fisica | 1 online resource (231 p.) |
| Disciplina | 612.81 |
| Altri autori (Persone) | JungRanu |
| Soggetto topico |
Neurobiology
Medical physics |
| ISBN |
3-527-63937-3
1-283-64417-7 3-527-63938-1 3-527-63936-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Biohybrid Systems: Nerves, Interfaces, and Machines; Contents; Preface; List of Contributors; 1 Merging Technology with Biology; 1.1 Introduction; 1.2 NeuroDesign; 1.3 The NeuroDesign Approach; 1.4 Neuromorphic Control of a Powered Orthosis for Crutch-Free Walking; 1.5 Frontiers of Biohybrid Systems; 1.6 Chapter Organization; References; 2 Principles of Computational Neuroscience; 2.1 Introduction; 2.2 Some Physiology of Neurons; 2.2.1 Membrane Potential; 2.2.2 Membrane Equivalent Circuit; 2.2.3 Action Potential: Generation and Propagation; 2.3 General Formalisms in Neuronal Modeling
2.3.1 Conductance-Based Hodgkin-Huxley Model for Action Potential Generation 2.3.2 Chemical and Electrical Synaptic Inputs; 2.3.3 Cable Theory of Neuronal Conduction and Compartmental Modeling; 2.3.4 Calcium and Calcium-Dependent Potassium Currents; 2.3.5 Simplified Neuronal Models; 2.4 Synaptic Coupling and Plasticity; 2.4.1 Modeling Synaptic Plasticity; 2.5 Computational Models of Neuronal Systems for Biohybrid Applications; 2.6 Resources; References; 3 Neuromorphic Electronic Design; 3.1 Choices for Neuromorphic Circuits: Digital versus Analogue; 3.2 The Breadth of Neuromorphic Systems 3.3 The Fundamental Processing Unit: The Neuron 3.3.1 Conductance-Based Modeling; 3.3.2 Compartmental Modeling; 3.3.2.1 The Dendritic Compartment: Home to the Synapses; 3.3.2.2 The Somatic Compartment: Spike-Based Processing and the Integrate-and-Fire Model; 3.3.2.3 The Axonal Compartment: Address-Event Representation; 3.4 Sensing the Environment; 3.4.1 Vision; 3.4.2 The Silicon Retina; 3.4.3 Audition; 3.4.3.1 Silicon Cochlea Modeling; 3.5 Conclusions; 3.6 Resources; References; 4 Principles of Neural Signal Processing; 4.1 Introduction; 4.2 Point Process Theory 4.2.1 Definition of a Point Process 4.2.2 Examples of Point Processes; 4.2.2.1 The Poisson Process; 4.2.2.2 Renewal Processes; 4.2.2.3 Markov Point Processes; 4.2.2.4 Non-Markovian Point Processes; 4.2.3 Multiple Point Processes; 4.3 Analyzing a Point Process; 4.3.1 The Interval Histogram and Hazard Function; 4.3.2 The PST Histogram; 4.3.3 Characterizing Multiple Point Processes; 4.4 Dynamic Neural Processing; 4.5 Information Theory and Neural Signal Processing; 4.5.1 Data Processing Theorem; 4.5.2 Channel Capacity; 4.5.3 Rate Distortion Theory; 4.5.4 Application to Biohybrid Systems 4.6 Summary References; 5 Dynamic Clamp in Biomimetic and Biohybrid Living-Hardware Systems; 5.1 What is a Dynamic Clamp?; 5.1.1 The Digital Dynamic Clamp; 5.2 Dynamic Clamp Performance and Limitations; 5.3 Experimental Applications of Dynamic Clamp; 5.3.1 Example Application 1: Neuronal Gain Control; 5.3.1.1 Synaptic Background Noise Mechanism; 5.3.1.2 Synaptic Depression Mechanism; 5.3.2 Example Application 2: Constructing Artificial Neuronal Circuits; 5.4 Dynamic Clamp System Implementations and Future; 5.4.1 Fundamental Considerations; 5.4.2 Recent and Future Implementations; 5.5 Resources References |
| Record Nr. | UNINA-9910137630003321 |
| Weinheim, : Wiley-VCH, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biohybrid systems : nerves, interfaces, and machines / / edited by Ranu Jung
| Biohybrid systems : nerves, interfaces, and machines / / edited by Ranu Jung |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2011 |
| Descrizione fisica | 1 online resource (231 p.) |
| Disciplina | 612.81 |
| Altri autori (Persone) | JungRanu |
| Soggetto topico |
Neurobiology
Medical physics |
| ISBN |
3-527-63937-3
1-283-64417-7 3-527-63938-1 3-527-63936-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Biohybrid Systems: Nerves, Interfaces, and Machines; Contents; Preface; List of Contributors; 1 Merging Technology with Biology; 1.1 Introduction; 1.2 NeuroDesign; 1.3 The NeuroDesign Approach; 1.4 Neuromorphic Control of a Powered Orthosis for Crutch-Free Walking; 1.5 Frontiers of Biohybrid Systems; 1.6 Chapter Organization; References; 2 Principles of Computational Neuroscience; 2.1 Introduction; 2.2 Some Physiology of Neurons; 2.2.1 Membrane Potential; 2.2.2 Membrane Equivalent Circuit; 2.2.3 Action Potential: Generation and Propagation; 2.3 General Formalisms in Neuronal Modeling
2.3.1 Conductance-Based Hodgkin-Huxley Model for Action Potential Generation 2.3.2 Chemical and Electrical Synaptic Inputs; 2.3.3 Cable Theory of Neuronal Conduction and Compartmental Modeling; 2.3.4 Calcium and Calcium-Dependent Potassium Currents; 2.3.5 Simplified Neuronal Models; 2.4 Synaptic Coupling and Plasticity; 2.4.1 Modeling Synaptic Plasticity; 2.5 Computational Models of Neuronal Systems for Biohybrid Applications; 2.6 Resources; References; 3 Neuromorphic Electronic Design; 3.1 Choices for Neuromorphic Circuits: Digital versus Analogue; 3.2 The Breadth of Neuromorphic Systems 3.3 The Fundamental Processing Unit: The Neuron 3.3.1 Conductance-Based Modeling; 3.3.2 Compartmental Modeling; 3.3.2.1 The Dendritic Compartment: Home to the Synapses; 3.3.2.2 The Somatic Compartment: Spike-Based Processing and the Integrate-and-Fire Model; 3.3.2.3 The Axonal Compartment: Address-Event Representation; 3.4 Sensing the Environment; 3.4.1 Vision; 3.4.2 The Silicon Retina; 3.4.3 Audition; 3.4.3.1 Silicon Cochlea Modeling; 3.5 Conclusions; 3.6 Resources; References; 4 Principles of Neural Signal Processing; 4.1 Introduction; 4.2 Point Process Theory 4.2.1 Definition of a Point Process 4.2.2 Examples of Point Processes; 4.2.2.1 The Poisson Process; 4.2.2.2 Renewal Processes; 4.2.2.3 Markov Point Processes; 4.2.2.4 Non-Markovian Point Processes; 4.2.3 Multiple Point Processes; 4.3 Analyzing a Point Process; 4.3.1 The Interval Histogram and Hazard Function; 4.3.2 The PST Histogram; 4.3.3 Characterizing Multiple Point Processes; 4.4 Dynamic Neural Processing; 4.5 Information Theory and Neural Signal Processing; 4.5.1 Data Processing Theorem; 4.5.2 Channel Capacity; 4.5.3 Rate Distortion Theory; 4.5.4 Application to Biohybrid Systems 4.6 Summary References; 5 Dynamic Clamp in Biomimetic and Biohybrid Living-Hardware Systems; 5.1 What is a Dynamic Clamp?; 5.1.1 The Digital Dynamic Clamp; 5.2 Dynamic Clamp Performance and Limitations; 5.3 Experimental Applications of Dynamic Clamp; 5.3.1 Example Application 1: Neuronal Gain Control; 5.3.1.1 Synaptic Background Noise Mechanism; 5.3.1.2 Synaptic Depression Mechanism; 5.3.2 Example Application 2: Constructing Artificial Neuronal Circuits; 5.4 Dynamic Clamp System Implementations and Future; 5.4.1 Fundamental Considerations; 5.4.2 Recent and Future Implementations; 5.5 Resources References |
| Record Nr. | UNINA-9910824864003321 |
| Weinheim, : Wiley-VCH, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Encyclopedia of Computational Neuroscience / / edited by Dieter Jaeger, Ranu Jung
| Encyclopedia of Computational Neuroscience / / edited by Dieter Jaeger, Ranu Jung |
| Autore | Jaeger Dieter <1960-> |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (1109 illus., 769 illus. in color. eReference.) |
| Disciplina | 573.80285 |
| Soggetto topico |
Neurosciences
Neurobiology Computers Computation by Abstract Devices |
| ISBN | 1-4614-6675-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information Theory -- Vestibular System -- Brute Force Methods in Computational Neuroscience -- Low Frequency Oscillations (Anesthesia and Sleep) -- Invertebrate Pattern Generation -- Gamma and Theta Oscillations, Hippocampus -- Cable Theory -- Vertebrate Pattern Generation -- Neural Population Models and Cortical Field Theory -- Basal Ganglia -- Brain Imaging -- Modeling Software Tools -- Model Reproducibility -- Auditory Sensing Systems -- Neuromorphic Engineering -- Ion Channel Types and Modeling -- Compartmental Modeling -- Dynamical Systems -- Biochemical Signaling Pathways and Diffusion -- Modeling of Disease -- Molecular Level -- Peripheral Nerve Interfaces -- Brain Scale Networks -- Brainstem Processing -- Phase Response Curves -- Computational Neuroanatomy -- Multistability in Neurodynamics -- Decision Making -- Invertebrate Sensory Systems -- Synaptic Dynamics -- Deep Brain Stimulation (Models, Theory, Techniques) -- Motor Neuron Models -- Somatosensory System -- Spike Train Analysis -- Spectral Methods in Neural Data Analysis -- Bayesian Approaches in Computational Neuroscience -- Cerebellum -- Databases in Computational Neuroscience -- Dynamics of Disease States -- LFP Analysis -- Brain Machine Interface -- Cortex -- Spinal Interfaces -- Olfaction -- Neuromodulation -- Spinal Cord -- Retinal/Visual Interfaces (Models, Theory, Techniques) -- Learning Rules -- Visual System -- Spiking Network Models and Theory -- Neuromechanics. |
| Record Nr. | UNINA-9910298275603321 |
Jaeger Dieter <1960->
|
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Encyclopedia of computational neuroscience / / Dieter Jaeger and Ranu Jung, editors
| Encyclopedia of computational neuroscience / / Dieter Jaeger and Ranu Jung, editors |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | New York, NY : , : Springer Science+Business Media, LLC, , [2022] |
| Descrizione fisica | 1 online resource (3703 pages) |
| Disciplina | 570.285 |
| Soggetto topico |
Computational neuroscience
Neurosciences Computational biology |
| ISBN | 1-0716-1006-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910574861003321 |
| New York, NY : , : Springer Science+Business Media, LLC, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Encyclopedia of Computational Neuroscience [[electronic resource] /] / edited by Dieter Jaeger, Ranu Jung
| Encyclopedia of Computational Neuroscience [[electronic resource] /] / edited by Dieter Jaeger, Ranu Jung |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (Approx. 3000 p. 1000 illus.) |
| Disciplina | 612.8 |
| Soggetto topico |
Neurosciences
Neurobiology Computers Computation by Abstract Devices |
| ISBN | 1-4614-7320-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910736028303321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||