Products related to Signal:
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Brain Source Localization Using EEG Signal Analysis
Of the research areas devoted to biomedical sciences, the study of the brain remains a field that continually attracts interest due to the vast range of people afflicted with debilitating brain disorders and those interested in ameliorating its effects.To discover the roots of maladies and grasp the dynamics of brain functions, researchers and practitioners often turn to a process known as brain source localization, which assists in determining the source of electromagnetic signals from the brain.Aiming to promote both treatments and understanding of brain ailments, ranging from epilepsy and depression to schizophrenia and Parkinson’s disease, the authors of this book provide a comprehensive account of current developments in the use of neuroimaging techniques for brain analysis.Their book addresses a wide array of topics, including EEG forward and inverse problems, the application of classical MNE, LORETA, Bayesian based MSP, and its modified version, M-MSP.Within the ten chapters that comprise this book, clinicians, researchers, and field experts concerned with the state of brain source localization will find a store of information that can assist them in the quest to enhance the quality of life for people living with brain disorders.
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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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The Neuroscience of Bach’s Music : Perception, Action, and Cognition Effects on the Brain
The Neuroscience of Bach’s Music: Perception, Action, and Cognition Effects on the Brain is a comprehensive study of Johann Sebastian Bach’s music through the lens of neuroscience, examining neuroscience using Bach’s music as a tool.This book synthesizes cognitive neuroscience, music theory, and musicology to provide insights into human cognition and perception.It also explores how a neuroscience perspective can improve listening and performing experiences for Bach’s music.Written by a physician-neuroscientist recognized for scholarly articles on Bach’s music, this book uses specific examples to explore neuroscience across Bach’s compositions. The book is structured to discuss the brain’s action, perception, and cognition as connected to specific Bach concertos, tones, notes, and performances.Two guest contributors provide insight into exact mathematical, or topologic, and music theoretic aspects of Bach’s music with implications for cognitive neuroscience.
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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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From Neuron to Cognition via Computational Neuroscience
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective.It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition.Moreover, the chapters show how computational neuroscience-methods for modeling the causal interactions underlying neural systems-complements empirical research in advancing the understanding of brain and behavior.The chapters-all by leaders in the field, and carefully integrated by the editors-cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language-the core of human cognition. The book can be used for advanced undergraduate or graduate level courses.It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain.Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python.Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). ContributorsMichael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J.Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P.Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A.Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W.Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A.Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L.Yuille
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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 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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