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Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives

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Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.

The interconnected biological neurons and the network of their artificial counterparts have been modeled in
physioanatomical perspectives, largely via cognitive considerations and in terms of physical reasonings based
on statistical mechanics of interacting units. The overall objective of this book is to present a cohesive and
comprehensive compendium elaborating the considerations of statistical mechanics and cybernetic principles
in modeling real (biological) neurons as well as neuromimetic artificial networks. While the perspectives of
statistical mechanics on neural modeling address the physics of interactions associated with the collective
behavior of neurons, the cybernetic considerations describe the science of optimal control over complex
neural processes. The purpose of this book is, therefore, to highlight the common intersection of statistical
mechanics and cybernetics with the universe of the neural complex in terms of associated stochastical
attributions.

In the state-of-the-art data-processing systems, neuromimetic networks have gained limited popularity largely
due to the fragmentary knowledge of neurological systems which has consistently impeded the realistic
mathematical modeling of the associated cybernetics. Notwithstanding the fact that modern information
processing hinges on halfway adoption of biological perspectives on neurons, the concordant high-level and
intelligent processing endeavors are stretched through the self-organizing architecture of real neurons. Such
architectures are hierarchically structured on the basis of interconnection networks which represent the
inherent aspects of neuronal interactions.
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MIMO Wireless Networks, Second Edition: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems
MIMO Wireless Networks, Second Edition: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems

This book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how propagation mechanisms impact the system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to...

Building Maintainable Software, Java Edition: Ten Guidelines for Future-Proof Code
Building Maintainable Software, Java Edition: Ten Guidelines for Future-Proof Code

Have you ever felt frustrated working with someone else’s code? Difficult-to-maintain source code is a big problem in software development today, leading to costly delays and defects. Be part of the solution. With this practical book, you’ll learn 10 easy-to-follow guidelines for delivering Java software that’s easy...

How To Do Everything with JavaScript
How To Do Everything with JavaScript

This book is designed to help anyone interested in adding elements of interactivity to their personal
web pages. Some experience with a PC is required, as we will not cover how to access the Internet
or how to use a web browser. You don’t have to be an HTML expert, although it will help if you
have some experience with that
...


The Biology of Schwann Cells: Development, Differentiation and Immunomodulation
The Biology of Schwann Cells: Development, Differentiation and Immunomodulation
It is now over 200 years since Theodore Schwann first described the cell which bears his name. Such early descriptions of nervous system components were done without the powerful microscopes we have today, yet Schwann and Ramon Y. Cajal made foundation observations which still stand. Cajal’s papers, especially, show the...
The Global Money Markets
The Global Money Markets
The Global Money Markets is the ultimate and most comprehensive guide to the world's money markets and the products that make up this vital element of the global economy. Written in a clear, accessible style, and including the most up-to-date information, this book is a great resource for all finance professionals, including market traders,...
The Rhetorical Nature of XML: Constructing Knowledge in Networked Environments
The Rhetorical Nature of XML: Constructing Knowledge in Networked Environments

The Rhetorical Nature of XML is the first volume to combine rhetoric, XML, and knowledge management in a substantive manner. It serves as a primer on XML and XML-related technologies, illustrating how the naming of XML elements can be understood as a rhetorical act, and detailing the essentials of knowledge management practices that...

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