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How can we explain the peacock's beautiful tail decorations, or the wonderful song of the nightingale? Why are some smells nice and others nasty? How do animals signal their intentions and qualities to potential partners? How do offspring tell parents about their needs? Are signals tuned to the environment, and to the mental abilities of receivers? Essential for understanding how animals cope with their ecological and social environment, the study of animal signals is one of the most active research areas in evolutionary biology. Understanding the signalling systems of nature has wide-ranging relevance including biological conservation and human communication. Written by international scientists, this is a comprehensive overview of the fascinating diversity of animal signals and signalling functions. Combining reviews and research, the book is aimed at both students and professional scientists.
Brian Skyrms offers a fascinating demonstration of how fundamental signals are to our world. He uses various scientific tools to investigate how meaning and communication develop. Signals operate in networks of senders and receivers at all levels of life, transmitting and processing information. That is how humans and animals think and interact.
Signal Transduction is a text reference on cellular signalling processes. Starting with the basics, it explains how cells respond to external cues (hormones, cytokines, neurotransmitters, adhesion molecules, extracellular matrix etc), and shows how these inputs are integrated and co-ordinated. The first half of the book provides the conceptual framework, explaining the formation and action of second messengers, particularly cyclic nucleotides and calcium, and the mediation of signal pathways by GTP-binding proteins. The remaining chapters deal with the formation of complex signalling cascades employed by cytokines and adhesion molecules, starting at the membrane and ending in the nucleus, there to regulate gene transcription. In this context, growth is an important potential outcome and this has relevance to the cellular transformations that underlie cancer. The book ends with a description at the molecular level of how signalling proteins interact with their environment and with each other through their structural domains. Each main topic is introduced with a historical essay, detailing the sources, key observations and experiments that set the scene for recent and current work.
How understanding the signaling within social networks can change the way we make decisions, work with others, and manage organizations. How can you know when someone is bluffing? Paying attention? Genuinely interested? The answer, writes Alex Pentland in Honest Signals, is that subtle patterns in how we interact with other people reveal our attitudes toward them. These unconscious social signals are not just a back channel or a complement to our conscious language; they form a separate communication network. Biologically based “honest signaling,” evolved from ancient primate signaling mechanisms, offers an unmatched window into our intentions, goals, and values. If we understand this an...
Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical applica...
This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.
Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain.
The reliability of animal signals is a central problem for evolutionary biologists. This text argues that it is maintained in several ways, relevant in different circumstances, and that biologists must learn to distinguish between them.
"This textbook provides a comprehensive view of signal transduction, covering both the fundamental mechanisms involved and their roles in key biological processes. It first lays out the basic principles of signal transduction, explaining how different receptors receive information and transmit it via signaling proteins, ions, and second messengers. It then surveys the major signaling pathways that operate in cells, before examining in detail how these function in processes such as cell growth and division, cell movement, metabolism, development, reproduction, the nervous system, and immune function"--