Validating Neuro Computational Models Of Neurological And Psychiatric Disorders

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Validating Neuro-Computational Models of Neurological and Psychiatric Disorders

Author : Basabdatta Sen Bhattacharya
Publisher : Springer
ISBN 13 : 3319200372
Total Pages : 329 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Validating Neuro-Computational Models of Neurological and Psychiatric Disorders by : Basabdatta Sen Bhattacharya

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.

Validating Neuro-Computational Models of Neurological and Psychiatric Disorders

Author : Basabdatta Sen Bhattacharya
Publisher :
ISBN 13 : 9783319200385
Total Pages : pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Validating Neuro-Computational Models of Neurological and Psychiatric Disorders by : Basabdatta Sen Bhattacharya

Download or read book Validating Neuro-Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by . This book was released on 2015 with total page 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.

Computational Neurology and Psychiatry

Author : Péter Érdi
Publisher : Springer
ISBN 13 : 3319499599
Total Pages : 446 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Computational Neurology and Psychiatry by : Péter Érdi

Download or read book Computational Neurology and Psychiatry written by Péter Érdi and published by Springer. This book was released on 2017-01-25 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists wanting to learn about new methods.

Computational Models of Brain and Behavior

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159180
Total Pages : 845 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

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 2017-09-18 with total page 845 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.

Artificial Neural Networks and Machine Learning – ICANN 2016

Author : Alessandro E.P. Villa
Publisher : Springer
ISBN 13 : 3319447815
Total Pages : 580 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2016 by : Alessandro E.P. Villa

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2016 written by Alessandro E.P. Villa and published by Springer. This book was released on 2016-08-26 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.

Computational Psychiatry

Author : A. David Redish
Publisher : MIT Press
ISBN 13 : 0262035421
Total Pages : 425 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Computational Psychiatry by : A. David Redish

Download or read book Computational Psychiatry written by A. David Redish and published by MIT Press. This book was released on 2016-12-09 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology. Modern psychiatry is at a crossroads, as it attempts to balance neurological analysis with psychological assessment. Computational neuroscience offers a new lens through which to view such thorny issues as diagnosis, treatment, and integration with neurobiology. In this volume, psychiatrists and theoretical and computational neuroscientists consider the potential of computational approaches to psychiatric issues. This unique collaboration yields surprising results, innovative synergies, and novel open questions. The contributors consider mechanisms of psychiatric disorders, the use of computation and imaging to model psychiatric disorders, ways that computation can inform psychiatric nosology, and specific applications of the computational approach. Contributors Susanne E. Ahmari, Huda Akil, Deanna M. Barch, Matthew Botvinick, Michael Breakspear, Cameron S. Carter, Matthew V. Chafee, Sophie Denève, Daniel Durstewitz, Michael B. First, Shelly B. Flagel, Michael J. Frank, Karl J. Friston, Joshua A. Gordon, Katia M. Harlé, Crane Huang, Quentin J. M. Huys, Peter W. Kalivas, John H. Krystal, Zeb Kurth-Nelson, Angus W. MacDonald III, Tiago V. Maia, Robert C. Malenka, Sanjay J. Mathew, Christoph Mathys, P. Read Montague, Rosalyn Moran, Theoden I. Netoff, Yael Niv, John P. O'Doherty, Wolfgang M. Pauli, Martin P. Paulus, Frederike Petzschner, Daniel S. Pine, A. David Redish, Kerry Ressler, Katharina Schmack, Jordan W. Smoller, Klaas Enno Stephan, Anita Thapar, Heike Tost, Nelson Totah, Jennifer L. Zick

Neuroinformatics of Large Scale Brain Modelling

Author : John David Griffiths
Publisher : Frontiers Media SA
ISBN 13 : 2832501796
Total Pages : 216 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Neuroinformatics of Large Scale Brain Modelling by : John David Griffiths

Download or read book Neuroinformatics of Large Scale Brain Modelling written by John David Griffiths and published by Frontiers Media SA. This book was released on 2022-11-10 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise

Author : Serhiy Yanchuk
Publisher : Frontiers Media SA
ISBN 13 : 288976138X
Total Pages : 214 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise by : Serhiy Yanchuk

Download or read book From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise written by Serhiy Yanchuk and published by Frontiers Media SA. This book was released on 2022-05-06 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Neurostimulation

Author :
Publisher : Elsevier
ISBN 13 : 0444635475
Total Pages : 317 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Computational Neurostimulation by :

Download or read book Computational Neurostimulation written by and published by Elsevier. This book was released on 2015-11-16 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Neurostimulation, the latest volume in the Progress in Brain Research series provides an introduction to a nascent field with contributions from leading researchers. In addition, it addresses a very timely and relevant issue which has long been known to require more treatment. - Part of a well-established international series that examines major areas of basic and clinical research within neuroscience, as well as emerging subfields - Provides an introduction to a nascent field with contributions from leading researchers

Insights in computational neuroscience

Author : Si Wu
Publisher : Frontiers Media SA
ISBN 13 : 2832520502
Total Pages : 150 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Insights in computational neuroscience by : Si Wu

Download or read book Insights in computational neuroscience written by Si Wu and published by Frontiers Media SA. This book was released on 2023-04-11 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data in Psychiatry and Neurology

Author : Ahmed Moustafa
Publisher : Academic Press
ISBN 13 : 0128230029
Total Pages : 386 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Big Data in Psychiatry and Neurology by : Ahmed Moustafa

Download or read book Big Data in Psychiatry and Neurology written by Ahmed Moustafa and published by Academic Press. This book was released on 2021-06-11 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer's disease and Parkinson's disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. - Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders - Analyzes methods in using big data to treat psychiatric and neurological disorders - Describes the role machine learning can play in the analysis of big data - Demonstrates the various methods of gathering big data in medicine - Reviews how to apply big data to genetics

Novel Brain Imaging Methods for the Aid of Neurological and Neuropsychiatric Disorders

Author : Takao Yamasaki
Publisher : Frontiers Media SA
ISBN 13 : 2832553362
Total Pages : 136 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Novel Brain Imaging Methods for the Aid of Neurological and Neuropsychiatric Disorders by : Takao Yamasaki

Download or read book Novel Brain Imaging Methods for the Aid of Neurological and Neuropsychiatric Disorders written by Takao Yamasaki and published by Frontiers Media SA. This book was released on 2024-08-20 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic aims to highlight the latest experimental techniques and methods used to aid in the classification; diagnosis; visualization; prognosis and treatment of neurological and neuropsychiatric disorders using brain imaging methods. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome. This Topic includes technologies and up-to-date methods which help advance the science. The contributions to this collection will undergo peer-review. Novelty and the utility of a method or protocol must be evident. We welcome contributions covering all aspects of novel brain imaging methods that aid clinicians in handling neurological and neuropsychiatric disorders as described above. Submissions will be handled by the team of Topic Editors. Frontiers in Neuroscience supports the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management and stewardship (Wilkinson et al., Sci. Data 3:160018, 2016). This Research Topic welcomes: • Methods: Describing new methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data. • Protocols: Detailed descriptions, including pitfalls and troubleshooting, to benefit those who may evaluate or employ the techniques. The protocols must be proven to work. • Perspective or General Commentaries on brain imaging methods and protocols relevant for aiding in the handling of neurological and neuropsychiatric disorders. • Reviews and mini-reviews of topical methods and protocols highlighting the important future directions of the field.

Precision Psychiatry

Author : Leanne M. Williams, Ph.D.
Publisher : American Psychiatric Pub
ISBN 13 : 1615371583
Total Pages : 302 pages
Book Rating : 4.6/5 (153 download)

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Book Synopsis Precision Psychiatry by : Leanne M. Williams, Ph.D.

Download or read book Precision Psychiatry written by Leanne M. Williams, Ph.D. and published by American Psychiatric Pub. This book was released on 2021-10-15 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision psychiatry, as outlined in this groundbreaking book, presents a new path forward. By integrating findings from basic and clinical neuroscience, clinical practice, and population-level data, the field seeks to develop therapeutic approaches tailored for specific individuals with a specific constellation of health issues, characteristics, strengths, and symptoms.

Modern CNS Drug Discovery

Author : Rudy Schreiber
Publisher : Springer Nature
ISBN 13 : 3030623513
Total Pages : 285 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Modern CNS Drug Discovery by : Rudy Schreiber

Download or read book Modern CNS Drug Discovery written by Rudy Schreiber and published by Springer Nature. This book was released on 2021-06-17 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive overview of the currently used concepts, approaches and technologies in the discovery and development of new treatments for the full spectrum of disorders of the central nervous system. It guides the reader through all essential steps, from finding an innovative idea, to the registration of a new drug. Divided into four sections, the book starts by presenting a broad perspective on current approaches in central nervous system (CNS) drug discovery. The second section addresses the generation of ideas for the identification of targets and novel treatment strategies; covers core functions in early discovery, and provides an example of a novel treatment paradigm: brain stimulation. The third section highlights strategies and technologies in translational CNS drug discovery. In an effort to bridge the gap between discovery and clinical development, it also covers brain imaging, EEG and cognitive testing approaches. The fourth section extensively discusses the clinical phase of drug development, covering the basics of early clinical testing for psychopharmacological drugs. The book’s final chapter addresses the registration for newly developed drugs. Written by experts from academia and industry, the book covers important basics and best practices, as well as recent developments in drug discovery. Offering in-depth insights into the world of drug development, it represents essential reading for early researchers who want to prepare for a career in drug discovery in academia or industry.

Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning

Download Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning PDF Online Free

Author : Ratree Wayland
Publisher : Frontiers Media SA
ISBN 13 : 2832552978
Total Pages : 122 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning by : Ratree Wayland

Download or read book Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning written by Ratree Wayland and published by Frontiers Media SA. This book was released on 2024-08-07 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Degeneration of nerve cells that control cognitive, speech, and language processes leading to linguistic impairments at various levels, from verbal utterances to individual speech sounds, could indicate signs of neurological, cognitive and psychiatric disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), dementias, depression, autism spectrum disorder, schizophrenia, etc. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. However, speech-based biomarkers could potentially offer many advantages over current clinical standards. In addition to being objective and naturalistic, they can also be collected remotely with minimal instruction and time requirements. Furthermore, Machine Learning algorithms developed to build automated diagnostic models using linguistic features extracted from speech could aid diagnosis of patients with probable diseases from a group of normal population. To ensure that speech-based biomarkers are providing accurate measurement and can serve as effective clinical tools for detecting and monitoring disease, speech features extracted and analyzed must be systematically and rigorously evaluated. Different machine learning architectures trained to classify different types of disordered speech must also be rigorously tested and systematically compared.

The Handbook of Brain Theory and Neural Networks

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Handbook of Brain Theory and Neural Networks by : Michael A. Arbib

Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods & Applications

Author : Xiaoying Tang
Publisher : Frontiers Media SA
ISBN 13 : 2889459845
Total Pages : 118 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods & Applications by : Xiaoying Tang

Download or read book Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods & Applications written by Xiaoying Tang and published by Frontiers Media SA. This book was released on 2019-08-22 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Anatomy (CA) is an emerging discipline aiming to understand anatomy by utilizing a comprehensive set of mathematical tools. CA focuses on providing precise statistical encodings of anatomy with direct application to a broad range of biological and medical settings. During the past two decades, there has been an ever-increasing pace in the development of neuroimaging techniques, delivering in vivo information on the anatomy and physiological signals of different human organs through a variety of imaging modalities such as MRI, x-ray, CT, and PET. These multi-modality medical images provide valuable data for accurate interpretation and estimation of various biological parameters such as anatomical labels, disease types, cognitive states, functional connectivity between distinct anatomical regions, as well as activation responses to specific stimuli. In the era of big neuroimaging data, Bayes’ theorem provides a powerful tool to deliver statistical conclusions by combining the current information and prior experience. When sufficiently good data is available, Bayes’ theorem can utilize it fully and provide statistical inferences/estimations with the least error rate. Bayes’ theorem arose roughly three hundred years ago and has seen extensive application in many fields of science and technology, including recent neuroimaging, ever since. The last fifteen years have seen a great deal of success in the application of Bayes’ theorem to the field of CA and neuroimaging. That said, given that the power and success of Bayes’ rule largely depends on the validity of its probabilistic inputs, it is still a challenge to perform Bayesian estimation and inference on the typically noisy neuroimaging data of the real world. We assembled contributions focusing on recent developments in CA and neuroimaging through Bayesian estimation and inference, in terms of both methodologies and applications. It is anticipated that the articles in this Research Topic will provide a greater insight into the field of Bayesian imaging analysis.