Advanced Models of Neural Networks (Record no. 53452)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02885nam a22004455i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-662-43764-3 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111155.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140827s2015 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783662437643 |
| -- | 978-3-662-43764-3 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Rigatos, Gerasimos G. |
| 245 10 - TITLE STATEMENT | |
| Title | Advanced Models of Neural Networks |
| Sub Title | Nonlinear Dynamics and Stochasticity in Biological Neurons / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXIII, 275 p. 135 illus., 91 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Modelling Biological Neurons in Terms of Electrical Circuits -- Systems Theory for the Analysis of Biological Neuron Dynamics -- Bifurcations and Limit Cycles in Models of Biological Systems -- Oscillatory Dynamics in Biological Neurons -- Synchronization of Circadian Neurons and Protein Synthesis Control -- Wave Dynamics in the Transmission of Neural Signals -- Stochastic Models of Biological Neuron Dynamics -- Synchronization of Stochastic Neural Oscillators Using Lyapunov Methods -- Synchronization of Chaotic and Stochastic Neurons Using Differential Flatness Theory -- Attractors in Associative Memories with Stochastic Weights -- Spectral Analysis of Neural Models with Stochastic Weights -- Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator -- Quantum Control and Manipulation of Systems and Processes at Molecular Scale -- References -- Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory. It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-662-43764-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2015. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 912 ## - | |
| -- | ZDB-2-ENG |
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