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Theoretical Neuroscience : Understanding Cognition
This textbook is an introduction to Systems and Theoretical/Computational Neuroscience, with a particular emphasis on cognition.It consists of three parts: Part I covers fundamental concepts and mathematical models in computational neuroscience, along with cutting-edge topics.Part II explores the building blocks of cognition, including working memory (how the brain maintains and manipulates information "online" without external input), decision making (how choices are made among multiple options under conditions of uncertainty and risk) and behavioral flexibility (how we direct attention and control actions).Part III is dedicated to frontier research, covering models of large-scale multi-regional brain systems, Computational Psychiatry and the interface with Artificial Intelligence.The author highlights the perspective of neural circuits as dynamical systems, and emphasizes a cross-level mechanistic understanding of the brain and mind, from genes and cell types to collective neural populations and behavior.Overall, this textbook provides an opportunity for readers to become well versed in this highly interdisciplinary field of the twenty-first century. Key FeaturesRooted in the most recent advances in experimental studies of basic cognitive functionsIntroduces neurobiological and mathematical concepts so that the book is self-containedHeavily illustrated with high-quality figures that help to illuminate neurobiological concepts, present experimental findings and explain mathematical modelsConcludes with a list of core cognitive behavior tasks, ten take-home messages and three open questions for future researchComputer model codes are available via GitHub for hands-on practice
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Theoretical Neuroscience : Understanding Cognition
This textbook is an introduction to Systems and Theoretical/Computational Neuroscience, with a particular emphasis on cognition.It consists of three parts: Part I covers fundamental concepts and mathematical models in computational neuroscience, along with cutting-edge topics.Part II explores the building blocks of cognition, including working memory (how the brain maintains and manipulates information "online" without external input), decision making (how choices are made among multiple options under conditions of uncertainty and risk) and behavioral flexibility (how we direct attention and control actions).Part III is dedicated to frontier research, covering models of large-scale multi-regional brain systems, Computational Psychiatry and the interface with Artificial Intelligence.The author highlights the perspective of neural circuits as dynamical systems, and emphasizes a cross-level mechanistic understanding of the brain and mind, from genes and cell types to collective neural populations and behavior.Overall, this textbook provides an opportunity for readers to become well versed in this highly interdisciplinary field of the twenty-first century. Key FeaturesRooted in the most recent advances in experimental studies of basic cognitive functionsIntroduces neurobiological and mathematical concepts so that the book is self-containedHeavily illustrated with high-quality figures that help to illuminate neurobiological concepts, present experimental findings and explain mathematical modelsConcludes with a list of core cognitive behavior tasks, ten take-home messages and three open questions for future researchComputer model codes are available via GitHub for hands-on practice
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Mind, Cognition, and Neuroscience : A Philosophical Introduction
This carefully designed, multi-authored textbook covers a broad range of theoretical issues in cognitive science, psychology, and neuroscience.With accessible language, a uniform structure, and many pedagogical features, Mind, Cognition, and Neuroscience: A Philosophical Introdution is the best high-level overview of this area for an interdisciplinary readership of students.Written specifically for this volume by experts in their fields who are also experienced teachers, the book’s thirty chapters are organized into the following parts:I.Background KnowledgeII. Classical DebatesIII. ConsciousnessIV. Crossing BoundariesEach chapter starts with relevant key words and definitions and a chapter overview, then presents historical coverage of the topic, explains and analyzes contemporary debates, and ends with a sketch of cutting edge research.A list of suggested readings and helpful discussion topics conclude each chapter.This uniform, student-friendly design makes it possible to teach a cohort of both philosophy and interdisciplinary students without assuming prior understanding of philosophical concepts, cognitive science, or neuroscience. Key Features:Synthesizes the now decades-long explosion of scientifically informed philosophical research in the study of mind. Expands on the offerings of other textbooks by including chapters on language, concepts and non-conceptual content, and animal cognition. Offers the same structure in each chapter, moving the reader through an overview, historical coverage, contemporary debates, and finally cutting-edge research. Packed with pedagogical features, like defined Key Terms, Suggested Readings, and Discussion Questions for each chapter, as well as a General Glossary. Provides readers with clear, chapter-long introductions to Cognitive Neuroscience, Molecular and Cellular Cognition, Experimental Methods in Cognitive Neuroscience, Philosophy of Mind, Philosophy of Science, Metaphysical Issues, and Epistemic Issues.
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Mind, Cognition, and Neuroscience : A Philosophical Introduction
This carefully designed, multi-authored textbook covers a broad range of theoretical issues in cognitive science, psychology, and neuroscience.With accessible language, a uniform structure, and many pedagogical features, Mind, Cognition, and Neuroscience: A Philosophical Introdution is the best high-level overview of this area for an interdisciplinary readership of students.Written specifically for this volume by experts in their fields who are also experienced teachers, the book’s thirty chapters are organized into the following parts:I.Background KnowledgeII. Classical DebatesIII. ConsciousnessIV. Crossing BoundariesEach chapter starts with relevant key words and definitions and a chapter overview, then presents historical coverage of the topic, explains and analyzes contemporary debates, and ends with a sketch of cutting edge research.A list of suggested readings and helpful discussion topics conclude each chapter.This uniform, student-friendly design makes it possible to teach a cohort of both philosophy and interdisciplinary students without assuming prior understanding of philosophical concepts, cognitive science, or neuroscience. Key Features:Synthesizes the now decades-long explosion of scientifically informed philosophical research in the study of mind. Expands on the offerings of other textbooks by including chapters on language, concepts and non-conceptual content, and animal cognition. Offers the same structure in each chapter, moving the reader through an overview, historical coverage, contemporary debates, and finally cutting-edge research. Packed with pedagogical features, like defined Key Terms, Suggested Readings, and Discussion Questions for each chapter, as well as a General Glossary. Provides readers with clear, chapter-long introductions to Cognitive Neuroscience, Molecular and Cellular Cognition, Experimental Methods in Cognitive Neuroscience, Philosophy of Mind, Philosophy of Science, Metaphysical Issues, and Epistemic Issues.
Price: 39.99 £ | Shipping*: 0.00 £
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How does signal transmission at the synapse work?
Signal transmission at the synapse involves the release of neurotransmitters from the presynaptic neuron into the synaptic cleft. These neurotransmitters then bind to receptors on the postsynaptic neuron, causing ion channels to open and allowing ions to flow into the postsynaptic neuron. This influx of ions generates an electrical signal, known as a postsynaptic potential, which can either excite or inhibit the postsynaptic neuron, depending on the type of neurotransmitter and receptors involved. This process allows for the communication of information between neurons in the brain and throughout the nervous system.
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How does signal transmission occur in the synapse?
Signal transmission in the synapse occurs through a process involving neurotransmitters. When an action potential reaches the end of a neuron, it triggers the release of neurotransmitters into the synaptic cleft. These neurotransmitters then bind to receptors on the postsynaptic neuron, causing ion channels to open and allowing ions to flow into the neuron. This influx of ions generates a new action potential in the postsynaptic neuron, continuing the transmission of the signal.
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How can one connect Zigbee with Apple HomeKit and convert the Zigbee signal into another signal?
To connect Zigbee with Apple HomeKit, you can use a Zigbee to HomeKit bridge or hub. These devices act as a bridge between Zigbee devices and the Apple HomeKit ecosystem, allowing you to control Zigbee devices through the HomeKit app. To convert the Zigbee signal into another signal, you can use a Zigbee gateway that supports the desired protocol, such as Wi-Fi or Bluetooth. This gateway will receive the Zigbee signal and then transmit it in the desired format, allowing you to integrate Zigbee devices with other smart home systems.
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What is a digital signal in signal processing?
A digital signal in signal processing is a discrete-time signal that is represented using a sequence of numbers. These numbers are typically binary and are used to represent the amplitude of the signal at specific time intervals. Digital signals are used in various applications such as telecommunications, audio processing, and image processing. They offer advantages such as easier storage, transmission, and manipulation compared to analog signals.
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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques.Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal.Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification.
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Hacking Neuroplasticity : How AI Can Help Your Healthy Aging Brain
Neuroplasticity is the ability of neural networks in the brain to change through growth and reorganization.It is when the brain is rewired to function in some way that differs from how it previously functioned.How does aging affect neuroplasticity? As we grow older, plasticity decreases to stabilize what we have already learned.What influence does the aging process have on memory?Forgetfulness can be a normal part of aging. As people get older, changes occur in all parts of the body, including the brain.As a result, some people may notice that it takes longer to learn new things, they don’t remember information as well as they did, or they lose things like their glasses.This book on evolving neuroscience is unique in its lifespan focus on driving neuroplasticity in a positive direction to influence the Flynn effect of increasing human intelligence as the preferred way to prevent, delay onset, and/or reverse dementia.It considers potential impact from the first moments of life through end of life.It includes intergenerational activities. Its inclusion of centenarians and supercentenarians provides examples of "Super Agers" who have maintained and/or increased neurocognitive capacity, often with a health span that approximated their vigorous longevity.It discusses the use of the artificial intelligence (AI) revolution to refine, personalize, and broaden our global reach to enhance the Flynn effect as the preferred effort to improve global statistics on neurocognitive functioning at any age.Driving neuroplasticity in a positive direction at all ages is urgent.With this book’s focus on evidence-based interventions at any age which can have physical, emotional, neurobiological, neurochemical, immunological, and social health benefits, it is a unique overview and application of evolving neuroscience to address the UN/WHO Decade of Action for Healthy Ageing for All.
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Neuroscience: Exploring The Brain, Enhanced Edition
Acclaimed for its clear, friendly style, excellent illustrations, leading author team, and compelling theme of exploration, Neuroscience: Exploring the Brain, 4e takes a fresh, contemporary approach to the study of neuroscience, emphasizing the biological basis of behavior.The authors’ passion for the dynamic field of neuroscience is evident on every page, engaging students and helping them master the material. In just a few years, the field of neuroscience has been transformed by exciting new technologies and an explosion of knowledge about the brain.The human genome has been sequenced, sophisticated new methods have been developed for genetic engineering, and new methods have been introduced to enable visualization and stimulation of specific types of nerve cells and connections in the brain.The new Fourth Edition has been fully updated to reflect these and other rapid advances in the field, while honoring its commitment to be student-friendly with striking new illustrations, additional animations, and an unparalleled array of online resources.
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Microbiota Brain Axis : A Neuroscience Primer
Microbiota Brain Axis: A Neuroscience Primer provides neuroscience researchers with a comprehensive guide on how to conduct effective microbiota-brain research, understand the appropriate methodologies, and collect and analyze microbiota data.The book begins with an introduction to the importance of the microbiota-brain communication in development and how microbiota impact neurodevelopmental disorders, mental health and neurodegeneration.In addition, the book discusses advances in microbiota analysis tools and techniques for neuroscience related research.
Price: 97.99 £ | Shipping*: 0.00 £
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How can one explain signal transduction and signal transmission?
Signal transduction is the process by which a cell converts an extracellular signal into a specific cellular response. This process typically involves a series of molecular events, including the binding of a signaling molecule to a receptor on the cell surface, activation of intracellular signaling pathways, and ultimately leading to changes in gene expression, metabolism, or other cellular functions. Signal transmission, on the other hand, refers to the propagation of the signal from one cell to another, often through the release of signaling molecules such as hormones or neurotransmitters. Together, signal transduction and signal transmission allow cells to communicate with each other and coordinate their activities in response to external stimuli.
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'Signal or Telegram?'
Signal and Telegram are both popular messaging apps known for their focus on privacy and security. Signal is known for its end-to-end encryption and commitment to user privacy, making it a top choice for those seeking secure communication. On the other hand, Telegram offers a wider range of features such as large group chats, channels, and bots, making it a more versatile option for users looking for a more social experience. Ultimately, the choice between Signal and Telegram depends on your priorities - if privacy is your main concern, Signal may be the better option, while if you value features and customization, Telegram may be more suitable for you.
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How can the brain recognize which nerve signal transmits which environmental stimulus information?
The brain can recognize which nerve signal transmits which environmental stimulus information through a process called sensory coding. Different types of sensory receptors in the body are specialized to detect specific types of stimuli, such as light, sound, touch, or temperature. Each type of receptor sends a unique pattern of nerve signals to the brain, which allows the brain to distinguish between different types of stimuli. The brain then processes and interprets these signals in specific regions, such as the visual cortex for visual information or the somatosensory cortex for touch information, enabling us to perceive and respond to our environment accurately.
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How do I connect the Märklin Signal Control Panel 72751?
To connect the Märklin Signal Control Panel 72751, you will need to first ensure that you have the necessary power supply and wiring for the signals. Then, connect the control panel to the power supply and the signals using the provided cables. Make sure to follow the instructions provided in the manual for the specific wiring and connections for your layout. Once everything is connected, you can test the signals to ensure they are functioning properly.
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