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An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology, Series Number 6)

Frank C. Hoppensteadt
4.9/5 (10521 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:Signal processing aspects of neural networks are presented and studied in this book. Background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences is presented first, followed by three chapters of applications. Throughout, the focus is on the network's behavior near places where phase changes can occur. In mathematical terminology, this is reduction to analysis of canonical models near bifurcation points. The canonical problem derived here near a saddle-node bifurcations is the VCON model that is equivalent to an electronic circuit, similar to a phase-locked loop and it is described in the frequency domain rather than the time domain. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine, and life sciences.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology, Series Number 6). To get started finding An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology, Series Number 6), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
483
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
1986
ISBN
0521599296

An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology, Series Number 6)

Frank C. Hoppensteadt
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: Signal processing aspects of neural networks are presented and studied in this book. Background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences is presented first, followed by three chapters of applications. Throughout, the focus is on the network's behavior near places where phase changes can occur. In mathematical terminology, this is reduction to analysis of canonical models near bifurcation points. The canonical problem derived here near a saddle-node bifurcations is the VCON model that is equivalent to an electronic circuit, similar to a phase-locked loop and it is described in the frequency domain rather than the time domain. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine, and life sciences.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology, Series Number 6). To get started finding An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology, Series Number 6), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
483
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
1986
ISBN
0521599296

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