An edition of Modeling in the neurosciences
(1999)
Modeling in the neurosciences
from ionic channels to neural networks
by Roman R. Poznanski
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Previews available in: English
Subjects
Neurosciences, Neurological Models, Methods, Mathematical models, Neural networks (Neurobiology), Computer Simulation, Computer simulation, Computational neuroscience, Neurons, Physiology, Neural networks (computer science), Neurochemistry, Modèles mathématiques, Neurosciences informatiques, Réseaux neuronaux (Neurobiologie), Neurochimie, Neurones, Simulation par ordinateur, SOCIAL SCIENCE, Anthropology, Physical| Edition | Availability |
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1
Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics
2005, Taylor & Francis Group
in English
1280348445 9781280348440
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2
Modeling in the neurosciences: from ionic channels to neural networks
1999, Harwood Academic Publishers
in English
9057022842 9789057022845
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Libraries near you:
WorldCat
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Book Details
Table of Contents
Ch. 1. Introduction to modeling in the neurosciences
Ch. 2. Statistical analysis of ionic channel current fluctuations
Ch. 3. Physiological and statistical approaches to modeling of synaptic responses
Ch. 4. Natural variability in the geometry of dendritic branching patterns
Ch. 5. The multiple equivalent cylinder model
Ch. 6. Voltage transients in multipolar neurons with tapering dendrites
Ch. 7. The Lanczos procedure for generating equivalent cables
Ch. 8. Parameter estimation algorithms for the shunt cable model
Ch. 9. Determination of cable parameters for neurons with gap junctions
Ch. 10. Syncytial intergration in the outer retina
Ch. 11. Ionic current model of the outer retinal cells
Ch. 12. Ephaptic interactions between neurons. The example of the hippocampus
Ch. 13. Numerical modeling of neocortical pyramidal cells
Ch. 14. Some problems arising in models of conduction in excitable dendrites
Ch. 15. Semi-quantitative theory of bistable dendrites with wind-up
Ch. 16. Bifurcation analysis of neuronal excitability and oscillations
Ch. 17. Dynamics of associative memory networks
Ch. 18. Analysis and synthesis of morphologically realistic neural networks.
Edition Notes
Includes bibliographical references and index.
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| December 15, 2022 | Edited by MARC Bot | import existing book |
| September 3, 2020 | Edited by ImportBot | import existing book |
| April 3, 2019 | Created by MARC Bot | import existing book |