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Computational Neuroscience
Mathematical and statistical models have played important roles in neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. As the field moves forward rapidly, new challenges are emerging. For maximal effectiveness, those working to advance computational neuroscience will need to appreciate and exploit the complementary strengths of mechanistic theory and the statistical paradigm.
The Spike
The story of a neural impulse and what it reveals about how our brains work We see the last cookie in the box and think, can I take that? We reach a hand out. In the 2.1 seconds that this impulse travels through our brain, billions of neurons communicate with one another, sending blips of voltage through our sensory and motor regions. Neuroscientists call these blips “spikes.” Spikes enable us to do everything: talk, eat, run, see, plan, and decide. In The Spike, Mark Humphries takes readers on the epic journey of a spike through a single, brief reaction. In vivid language, Humphries tells the story of what happens in our brain, what we know about spikes, and what we still have left to u...
The Conscious Warrior
Shannon McQuaide combines her personal experiences, interviews with firefighters and research on yoga and mindfulness in this new inspiring book. Growing up in a firefighter family, she understands the physical and emotional toll the job can have on firefighters and their families. From the science behind how these practices work to the beautiful illustrations and step-by-step instructions, this book will motivate both beginners and veteran practitioners alike. McQuaide’s FireFlex Yoga classes are specifically created for first responders to enhance their mental and physical health and improve their job performance while releasing their true inner warrior. WHAT THEY ARE SAYING: "This is mo...
Applications
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Neural Information Processing
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Primate Craniofacial Function and Biology
Primate Craniofacial Function and Biology is an integrative volume with broad coverage of current research on primate craniofacial biology and function. Topic headings include: the mammalian perspective on primate craniofacial form and function, allometric and comparative morphological studies of primate heads, in vivo research on primate mastication, modeling of the primate masticatory apparatus, primate dental form and function, and palaeoanthropologic studies of primate skulls. Additionally, the volume includes introductory chapters discussing how primatologists study adaptations in primates and a discussion of in vivo approaches for studying primate performance. At present, there are no texts with a similar focus on primate craniofacial biology and no sources that approach this topic from such a wide range of research perspectives. This breadth of research covered by leaders in their respective fields make this volume a unique and innovative contribution to biological anthropology.
Neural Engineering
This third edition overviews the essential contemporary topics of neuroengineering, from basic principles to the state-of-the-art, and is written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-computer interfaces, implantable and transcranial neuromodulation, peripheral neural interfacing, neuroimaging, neural modelling, neural circuits and system identification, retinal bioengineering and prosthetics, and neural tissue engineering. Each chapter is followed by homework questions intended for classroom use. This is an ideal textbook for students at the graduate and advanced undergraduate level as well as academics,...
The Informed Brain in a Digital World
Digital media provide humans with more access to information than ever before-a computer, tablet, or smartphone can all be used to access data online and users frequently have more than one device. However, as humans continue to venture into the digital frontier, it remains to be known whether access to seemingly unlimited information is actually helping us learn and solve complex problems, or ultimately creating more difficulty and confusion for individuals and societies by offering content overload that is not always meaningful. Throughout history, technology has changed the way humans interact with the world. Improvements in tools, language, industrial machines, and now digital informatio...
Statistical Signal Processing for Neuroscience and Neurotechnology
This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physio...
