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Author : Antonio Di Ieva
Publisher : Springer Nature
ISBN 13 : 3031648927
Total Pages : 561 pages
Book Rating : 4.0/5 (316 download)
Download or read book Computational Neurosurgery written by Antonio Di Ieva and published by Springer Nature. This book was released on with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : V. Srinivasa Chakravarthy
Publisher : Springer
ISBN 13 : 9811084947
Total Pages : 303 pages
Book Rating : 4.8/5 (11 download)
Download or read book Computational Neuroscience Models of the Basal Ganglia written by V. Srinivasa Chakravarthy and published by Springer. This book was released on 2018-03-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.
Author : E. De Schutter
Publisher : Elsevier
ISBN 13 : 9780444516497
Total Pages : 1260 pages
Book Rating : 4.5/5 (164 download)
Download or read book Computational Neuroscience: Trends in Research 2004 written by E. De Schutter and published by Elsevier. This book was released on 2004-06-26 with total page 1260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
Author : E. De Schutter
Publisher : Elsevier
ISBN 13 : 9780444513830
Total Pages : 1034 pages
Book Rating : 4.5/5 (138 download)
Download or read book Computational Neuroscience: Trends in Research 2003 written by E. De Schutter and published by Elsevier. This book was released on 2003-06-20 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes papers originally presented at the 11th annual Computational Neuroscience Meeting (CNS 02) held in July 2002 at the Congress Plaza Hotel & Convention Center in Chicago, Illinois, USA. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
Author : Paul Cisek
Publisher : Elsevier
ISBN 13 : 0080555020
Total Pages : 571 pages
Book Rating : 4.0/5 (85 download)
Download or read book Computational Neuroscience: Theoretical Insights into Brain Function written by Paul Cisek and published by Elsevier. This book was released on 2007-11-14 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function.• Includes contributions by some of the most influential people in the field of computational neuroscience• Demonstrates how computational approaches are being used today to interpret experimental data• Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning
Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262335271
Total Pages : 810 pages
Book Rating : 4.2/5 (623 download)
Download or read book From Neuron to Cognition via Computational Neuroscience written by Michael A. Arbib and published by MIT Press. This book was released on 2016-11-04 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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). Contributors Michael 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
Author : Sharon Crook
Publisher : Frontiers Media SA
ISBN 13 : 2889638383
Total Pages : 279 pages
Book Rating : 4.8/5 (896 download)
Download or read book Reproducibility and Rigour in Computational Neuroscience written by Sharon Crook and published by Frontiers Media SA. This book was released on 2020-07-09 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kamal Malik
Publisher : CRC Press
ISBN 13 : 100099421X
Total Pages : 186 pages
Book Rating : 4.0/5 (9 download)
Download or read book Computational Techniques in Neuroscience written by Kamal Malik and published by CRC Press. This book was released on 2023-11-14 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis. Features: Focuses on neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making Showcases important aspects such as human behavior prediction using smart technologies and understanding the modeling of nervous systems Discusses nature-inspired algorithms such as swarm intelligence, ant colony optimization, and multi-agent systems Presents information-theoretic, control-theoretic, and decision-theoretic approaches in neuroscience. Includes case studies in functional magnetic resonance imaging (fMRI) and neural data analysis This reference text addresses different applications of computational neuro-sciences using artificial intelligence, deep learning, and other machine learning techniques to fine-tune the models, thereby solving the real-life problems prominently. It will further discuss important topics such as neural rehabili-tation, brain-computer interfacing, neural control, neural system analysis, and neurobiologically inspired self-monitoring systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, information technology, and biomedical engineering.
Author : Victor E. Staartjes
Publisher : Springer Nature
ISBN 13 : 303085292X
Total Pages : 343 pages
Book Rating : 4.0/5 (38 download)
Download or read book Machine Learning in Clinical Neuroscience written by Victor E. Staartjes and published by Springer Nature. This book was released on 2021-12-03 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.
Author : Daniel J. Guillaume
Publisher : Academic Press
ISBN 13 : 0128128992
Total Pages : 316 pages
Book Rating : 4.1/5 (281 download)
Download or read book Quality and Safety in Neurosurgery written by Daniel J. Guillaume and published by Academic Press. This book was released on 2018-02-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality and Safety in Neurosurgery covers recent improvements and presents solutions for problems that impact patient care. This book is written for anyone who works at the intersection of quality, safety and neurosurgery, including neurosurgeons, neurologists, clinical researchers looking to improve outcomes in neurosurgery, hospital quality and safety officers, department leaders, fellows and residents. Edited by neurosurgeons who helped build the culture of quality and safety in the Department of Neurosurgery at UMN, this work emphasizes quality and safety, whether through 'value based purchasing', finding specialty specific quality and safety metrics, or just the professional desire to provide quality care. - Presents an overview of quality and safety in neurosurgical settings and discusses solutions for problems that impact patient care - Gives readers the tools they need to improve quality and safety in neurosurgery - Provides examples on how to implement new tactics - Includes coverage on teams, competence, safety, hospital incentives, quality, the physician handoff, medication compliance and operating room efficiency, and more
Author : Edmund T. Rolls
Publisher : Oxford University Press, USA
ISBN 13 : 0198871104
Total Pages : 954 pages
Book Rating : 4.1/5 (988 download)
Download or read book Brain Computations written by Edmund T. Rolls and published by Oxford University Press, USA. This book was released on 2021-01-07 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to understand how the brain works, it is essential to know WHAT is computed by different brain systems, and HOW those computations are performed. This is the aim of Brain Computations: What and How. Pioneering in its approach, this book will be of interest to all scientists interested in brain function and how the brain works
Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159067
Total Pages : 586 pages
Book Rating : 4.1/5 (191 download)
Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-11-13 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Author : James M. Bower
Publisher :
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computational Neuroscience written by James M. Bower and published by . This book was released on 1996 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume represents the diverse but interrelated nature of computational neuroscience research. The chapters are grouped into four different levels of investigation and analysis: subcellular, cellular, network and systems. This organization allows for a non-traditional view of the literature which is typically grouped by lines of experimental subject or subsystem studied. The book focuses on the computational questions and approaches characteristic of each level of analysis. This volume is also available in a casebound edition as Supplement Number One of the series International Review of Neurobiology.
Author : Basabdatta Sen Bhattacharya
Publisher : Springer
ISBN 13 : 3319200372
Total Pages : 329 pages
Book Rating : 4.3/5 (192 download)
Download or read book Validating Neuro-Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by Springer. This book was released on 2015-10-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.
Author : Antonio Di Ieva
Publisher : Springer Nature
ISBN 13 : 3031476069
Total Pages : 999 pages
Book Rating : 4.0/5 (314 download)
Download or read book The Fractal Geometry of the Brain written by Antonio Di Ieva and published by Springer Nature. This book was released on with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Steven J. Schiff
Publisher : MIT Press
ISBN 13 : 0262015374
Total Pages : 403 pages
Book Rating : 4.2/5 (62 download)
Download or read book Neural Control Engineering written by Steven J. Schiff and published by MIT Press. This book was released on 2011-11-10 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonlinear control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven Schiff seeks to bridge the two fields, examining the application of new methods in nonlinear control engineering to neuroscience. After presenting extensive material on formulating computational neuroscience models in a control environment—including some fundamentals of the algorithms helpful in crossing the divide from intuition to effective application—Schiff examines a range of applications, including brain-machine interfaces and neural stimulation. He reports on research that he and his colleagues have undertaken showing that nonlinear control theory methods can be applied to models of single cells, small neuronal networks, and large-scale networks in disease states of Parkinson's disease and epilepsy. With Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience sufficient not only to understand the literature in this trandisciplinary area but also to begin working to advance the field. The book will serve as an essential guide for scientists in either biology or engineering and for physicians who wish to gain expertise in these areas.
Author : Marike L. D. Broekman
Publisher : Springer
ISBN 13 : 3030055027
Total Pages : 170 pages
Book Rating : 4.0/5 (3 download)
Download or read book Ethics of Innovation in Neurosurgery written by Marike L. D. Broekman and published by Springer. This book was released on 2019-02-21 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all ethical aspects of introducing novel implants and procedures in neurosurgery in a structured way, addressing the current knowledge gap concerning ethical innovations in neurosurgery. Initially it explores the difficulties involved in defining when a procedure should be considered innovation, research, or care. To this end, it presents not only an overview of current literature, but also data from a recent survey among neurosurgeons in Europe. The book subsequently discusses the ethical issues related to innovation. These include: informed consent (what should a surgeon tell the patient and how should he/she do so), oversight (can any surgeon simply implant a novel spinal device?), the learning curve (when should a surgeon be allowed to perform a novel procedure?), vulnerable patients (how to innovate in the pediatric population or in an emergency setting), and conflicts of interest, as well as the ethics of paying for innovative treatments. In turn, the closing chapters focus on the evaluation of neurosurgical research and innovation. Are cultural changes necessary and how could innovation benefit from (international) collaborations? Given the range of topics addressed, the book offers neurosurgeons, residents, scientists, companies and hospital administrations a valuable guide to introducing novel implants and techniques in neurosurgery.
