Kirjahaku

In Science before Socrates, Daniel Graham argues against the prevalent belief that the Presocratic philosophers did not produce any empirical science and that the first major Greek science, astronomy, did not develop until at least the time of Plato. Instead, Graham proposes that the advances made by Presocratic philosophers in the study of astronomy deserve to be considered as scientific contributions. Whereas philosophers of the sixth century BC treated astronomical phenomena as ephemeral events continuous with weather processes, those of the fifth century treated heavenly bodies as independent stony masses whirled in a cosmic vortex. Two historic events help to date and account for the change: a solar eclipse in 478 BC and a meteoroid that fell to earth around 466. Both events influenced Anaxagoras, who transformed insights from Parmenides into explanations of lunar and solar eclipses, meteors, and rainbows. Virtually all philosophers came to accept Anaxagoras' theory of lunar light and eclipses. Aristotle endorsed Anaxagoras' theory of eclipses as a paradigm of scientific explanation. Anaxagoras' theories launched a geometrical approach to astronomy and were accepted as foundational principles by all mathematical astronomers from Aristarchus to Ptolemy to Copernicus and Galileo-and to the present day.

Whether we realize it or not, we think of our brains as computers. In neuroscience, the metaphor of the brain as a computer has defined the field for much of the modern era. But as neuroscientists increasingly reevaluate their assumptions about how brains work, we need a new metaphor to help us ask better questions.The computational neuroscientist Daniel Graham offers an innovative paradigm for understanding the brain. He argues that the brain is not like a single computer—it is a communication system, like the internet. Both are networks whose power comes from their flexibility and reliability. The brain and the internet both must route signals throughout their systems, requiring protocols to direct messages from just about any point to any other. But we do not yet understand how the brain manages the dynamic flow of information across its entire network. The internet metaphor can help neuroscience unravel the brain’s routing mechanisms by focusing attention on shared design principles and communication strategies that emerge from parallel challenges. Highlighting similarities between brain connectivity and the architecture of the internet can open new avenues of research and help unlock the brain’s deepest secrets.An Internet in Your Head presents a clear-eyed and engaging tour of brain science as it stands today and where the new paradigm might take it next. It offers anyone with an interest in brains a transformative new way to conceptualize what goes on inside our heads.

Whether we realize it or not, we think of our brains as computers. In neuroscience, the metaphor of the brain as a computer has defined the field for much of the modern era. But as neuroscientists increasingly reevaluate their assumptions about how brains work, we need a new metaphor to help us ask better questions.The computational neuroscientist Daniel Graham offers an innovative paradigm for understanding the brain. He argues that the brain is not like a single computer—it is a communication system, like the internet. Both are networks whose power comes from their flexibility and reliability. The brain and the internet both must route signals throughout their systems, requiring protocols to direct messages from just about any point to any other. But we do not yet understand how the brain manages the dynamic flow of information across its entire network. The internet metaphor can help neuroscience unravel the brain’s routing mechanisms by focusing attention on shared design principles and communication strategies that emerge from parallel challenges. Highlighting similarities between brain connectivity and the architecture of the internet can open new avenues of research and help unlock the brain’s deepest secrets.An Internet in Your Head presents a clear-eyed and engaging tour of brain science as it stands today and where the new paradigm might take it next. It offers anyone with an interest in brains a transformative new way to conceptualize what goes on inside our heads.

This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics reflect Angstrom-scale maps of electron density. The author explores protein sequences (primary structures), both individually and in sets (systems) with the help of probability and information tools. This perspective will enhance the reader’s knowledge of how an important class of molecules is designed and put to task in natural systems, and how we can approach class members in hands-on ways.

This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics reflect Angstrom-scale maps of electron density. The author explores protein sequences (primary structures), both individually and in sets (systems) with the help of probability and information tools. This perspective will enhance the reader’s knowledge of how an important class of molecules is designed and put to task in natural systems, and how we can approach class members in hands-on ways.

This introduction to hacking covers everything you need to know to start your own journey to becoming an ethical hacker. With help from a lab setup that lets you hack along to each chapter, this book walks you through a variety of the most useful activities for any hacker. You'll begin by capturing and viewing a victim's traffic, then learn how to encrypt files and fake emails, and craft sophisticated social engineering attacks. In the later chapters, you'll learn how to fuzz, write trojans and rootkits, and perform website exploitation. Along the way, you'll develop a fundamental understanding of technologies like network protocols, websites, and the Linux operating system. You'll also work with tools used by professional penetration testers, such as Metasploit and Wireshark, and go from setting up a virtual lab environment for small scale hacks that could take place in a coffee shop to expanding this skill in order to take over an extensive corporate network. This manual is a must for any programmer interested in learning the fundamentals of designing their own hacking tools. It takes a deep dive into many topics, but uses beginner-friendly explanations for those just starting out. Exercises at the end of each chapter help expand on what's learned.