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Single neuron computation /
This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the informat...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Academic Press,
�1992.
|
| Colección: | Neural networks, foundations to applications.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Single neuron computation / |c edited by Thomas McKenna, Joel Davis, Steven F. Zornetzer. |
| 260 | |a Boston : |b Academic Press, |c �1992. | ||
| 300 | |a 1 online resource (xiv, 644 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Neural nets, foundations to applications | |
| 504 | |a Includes bibliographical references and index. | ||
| 506 | |3 Use copy |f Restrictions unspecified |5 MiAaHDL |2 star | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |5 MiAaHDL |2 pda | |
| 588 | 0 | |a Print version record. | |
| 520 | |a This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs. | ||
| 505 | 0 | |a Front Cover; Single Neuron Computation; Copyright Page; Table of Contents; Contributors; Preface; PART I: COMPUTATION IN DENDRITES AND SPINES; Chapter 1. Electrotonic Models of Neuronal Dendrites and Single Neuron Computation; I. Introduction; II. Estimating the Electrotonic Structure of a Cell; III. The Dynamic Range of Computational Possibilities Exhibited by Neurons; IV. Synaptic Modification in Dendritic Spines; V. Summary; Acknowledgments; References; Chapter 2. Canonical Neurons and Their Computational Organization; I. Historical Background for the Complex Neuron | |
| 505 | 8 | |a II. Development of the Computational Representation of the Complex NeuronIII. Strategies for Neuronal Modeling; IV. The Concept of the Canonical Neuron; V. Hierarchical Organization of Canonical Neurons in the Olfactory System; VI. The Cortical Pyramidal Neuron; Acknowledgments; References; Chapter 3. Computational Models of Hippocampal Neurons; I. Neuromorphometry; II. Electrotonic Structure; III. Computer Simulations; IV. Methods and Results; V. Summary and Conclusions; Acknowledgment; References; Chapter 4. Hebbian Computations in Hippocampal Dendrites and Spines; I. Introduction | |
| 505 | 8 | |a II. Nodes and NeuronsIII. Voltage Gradients in Dendrites and Spines; IV. Spatial Representation of Electrotonic Structure; V. Voltage-Dependent Synaptic Modification; VI. Self-Organization and Pattern Association; VII. Summary and Conclusions; Acknowledgments; References; Chapter 5. Synaptic Integration by Electro-Diffusion in Dendritic Spines; I. Introduction; II. Cable Model Predictions; III. Limitations of the Cable Model; IV. Electro-Diffusion Model Predictions; V. The Cable Model for Electro-Diffusion; VI. Discussion; Acknowledgments; References | |
| 505 | 8 | |a Chapter 6. Dendritic Morphology, Inward Rectification, and the Functional Properties of Neostriatal NeuronsI. Introduction; II. Firing Pattern of Neostriatal Spiny Projection Neurons; III. Distribution of Synaptic Inputs on the Spiny Projection Neuron; IV. A Model of the Spiny Neuron; V. Input Resistance and Electrotonic Length of the Passive Model; VI. Effect of Fast Anomalous Rectification on Input Resistance and Time Constant; VII. If the Time Constant Is Not Constant, the Length Constant Is Not Either; VIII. Synaptic Integration in the Spiny Neuron | |
| 505 | 8 | |a IX. Dendritic Spines and Synaptic StrengthX. Effect of Fast Anomalous Rectification on Synaptic Integration; XI. Implications for Neostriatal Function; Acknowledgments; References; Chapter 7. Analog and Digital Processing in Single Nerve Cells: Dendritic Integration and Axonal Propagation; I. Introduction; II. Methods; III. Results; IV. Discussion; Acknowledgment; References; Chapter 8. Functions of Very Distal Dendrites: Experimental and Computational Studies of Layer I Synapses on Neocortical Pyramidal Cells; I. The Significance of Cortical Layer I | |
| 546 | |a English. | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Neural computers. | |
| 650 | 2 | |a Neural Conduction |x physiology |0 (DNLM)D009431Q000502 | |
| 650 | 2 | |a Neural Networks, Computer |0 (DNLM)D016571 | |
| 650 | 2 | |a Neurons |x physiology |0 (DNLM)D009474Q000502 | |
| 650 | 2 | |a Neurons |x ultrastructure |0 (DNLM)D009474Q000648 | |
| 650 | 6 | |a R�eseaux neuronaux (Informatique) |0 (CaQQLa)201-0209597 | |
| 650 | 6 | |a Ordinateurs neuronaux. |0 (CaQQLa)201-0191036 | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Neural computers |2 fast |0 (OCoLC)fst01036251 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Inteligencia artificial. |2 larpcal | |
| 653 | 0 | |a Artificial intelligence | |
| 700 | 1 | |a McKenna, Thomas M. | |
| 700 | 1 | |a Davis, Joel L., |d 1942- | |
| 700 | 1 | |a Zornetzer, Steven F. | |
| 776 | 0 | 8 | |i Print version: |t Single neuron computation. |d Boston : Academic Press, �1992 |w (DLC) 91031528 |w (OCoLC)24375744 |
| 830 | 0 | |a Neural networks, foundations to applications. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780124848153 |z Texto completo |