Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons
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 the...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58079 |
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oai:scholar.dlu.edu.vn:DLU123456789-580792023-11-11T05:59:00Z Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons Rigatos, Gerasimos Computational Intelligence Engineering models Mathematical Neural networks (Computer science) 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. 2015-09-08T07:46:57Z 2015-09-08T07:46:57Z 2015 Book 978-3-662-43764-3 978-3-662-43763-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58079 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Computational Intelligence Engineering models Mathematical Neural networks (Computer science) |
| spellingShingle |
Computational Intelligence Engineering models Mathematical Neural networks (Computer science) Rigatos, Gerasimos Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons |
| description |
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. |
| format |
Book |
| author |
Rigatos, Gerasimos |
| author_facet |
Rigatos, Gerasimos |
| author_sort |
Rigatos, Gerasimos |
| title |
Advanced Models of Neural Networks:
Nonlinear Dynamics and Stochasticity in Biological Neurons |
| title_short |
Advanced Models of Neural Networks:
Nonlinear Dynamics and Stochasticity in Biological Neurons |
| title_full |
Advanced Models of Neural Networks:
Nonlinear Dynamics and Stochasticity in Biological Neurons |
| title_fullStr |
Advanced Models of Neural Networks:
Nonlinear Dynamics and Stochasticity in Biological Neurons |
| title_full_unstemmed |
Advanced Models of Neural Networks:
Nonlinear Dynamics and Stochasticity in Biological Neurons |
| title_sort |
advanced models of neural networks:
nonlinear dynamics and stochasticity in biological neurons |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58079 |
| _version_ |
1819827148396953600 |