Validating Neuro-Computational Models of Neurological and Psychiatric Disorders

Validating Neuro-Computational Models of Neurological and Psychiatric Disorders PDF Author: Basabdatta Sen Bhattacharya
Publisher: Springer
ISBN: 3319200372
Category : Medical
Languages : en
Pages : 329

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Book Description
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

Validating Neuro-Computational Models of Neurological and Psychiatric Disorders PDF Author: Basabdatta Sen Bhattacharya
Publisher: Springer
ISBN: 3319200372
Category : Medical
Languages : en
Pages : 329

Get Book Here

Book Description
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

Validating Neuro-Computational Models of Neurological and Psychiatric Disorders PDF Author: Basabdatta Sen Bhattacharya
Publisher:
ISBN: 9783319200385
Category :
Languages : en
Pages :

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Book Description
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 Models of Brain and Behavior

Computational Models of Brain and Behavior PDF Author: Ahmed A. Moustafa
Publisher: John Wiley & Sons
ISBN: 1119159180
Category : Psychology
Languages : en
Pages : 845

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Book Description
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

Artificial Neural Networks and Machine Learning – ICANN 2016 PDF Author: Alessandro E.P. Villa
Publisher: Springer
ISBN: 3319447815
Category : Computers
Languages : en
Pages : 580

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Book Description
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 Neurology and Psychiatry

Computational Neurology and Psychiatry PDF Author: Péter Érdi
Publisher: Springer
ISBN: 3319499599
Category : Technology & Engineering
Languages : en
Pages : 446

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Book Description
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.

Neuroinformatics of Large Scale Brain Modelling

Neuroinformatics of Large Scale Brain Modelling PDF Author: John David Griffiths
Publisher: Frontiers Media SA
ISBN: 2832501796
Category : Science
Languages : en
Pages : 216

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Book Description


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

From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise PDF Author: Serhiy Yanchuk
Publisher: Frontiers Media SA
ISBN: 288976138X
Category : Science
Languages : en
Pages : 214

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Book Description


Neural Masses and Fields: Modelling the Dynamics of Brain Activity

Neural Masses and Fields: Modelling the Dynamics of Brain Activity PDF Author: Karl Friston
Publisher: Frontiers Media SA
ISBN: 2889194272
Category : Differential equations
Languages : en
Pages : 238

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Book Description
Biophysical modelling of brain activity has a long and illustrious history and has recently profited from technological advances that furnish neuroimaging data at an unprecedented spatiotemporal resolution. Neuronal modelling is a very active area of research, with applications ranging from the characterization of neurobiological and cognitive processes, to constructing artificial brains in silico and building brain-machine interface and neuroprosthetic devices. Biophysical modelling has always benefited from interdisciplinary interactions between different and seemingly distant fields; ranging from mathematics and engineering to linguistics and psychology. This Research Topic aims to promote such interactions by promoting papers that contribute to a deeper understanding of neural activity as measured by fMRI or electrophysiology. In general, mean field models of neural activity can be divided into two classes: neural mass and neural field models. The main difference between these classes is that field models prescribe how a quantity characterizing neural activity (such as average depolarization of a neural population) evolves over both space and time as opposed to mass models, which characterize activity over time only; by assuming that all neurons in a population are located at (approximately) the same point. This Research Topic focuses on both classes of models and considers several aspects and their relative merits that: span from synapses to the whole brain; comparisons of their predictions with EEG and MEG spectra of spontaneous brain activity; evoked responses, seizures, and fitting data - to infer brain states and map physiological parameters.

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support PDF Author: Kenji Suzuki
Publisher: Springer Nature
ISBN: 3030338509
Category : Computers
Languages : en
Pages : 93

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Book Description
This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

The Frontal Lobes

The Frontal Lobes PDF Author:
Publisher: Academic Press
ISBN: 0128043261
Category : Medical
Languages : en
Pages : 512

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Book Description
The Frontal Lobes, Volume 163, updates readers on the latest thinking on the structure and function of the human frontal lobe. Sections address methodology, anatomy, physiology and pharmacology, function, development, aging and disorders, and rehabilitation. Patients with focal lesions in the frontal lobes have long been studied to reveal the organization and function of the frontal lobes. Over the last two decades, studies of patients with neurodegenerative diseases and developmental disorders have increased, with new findings discussed in this volume. In addition, the book includes discussions on genetics and molecular biology, optogenetics, high-resolution structural and functional neuroimaging and electrophysiology, and more. Lastly, new knowledge on the biology, structure and function of the frontal lobes, new treatment targets for pharmacology, non-invasive brain stimulation, and cognitive/social remediation are presented. The last section covers new efforts that will hopefully lead to better outcomes in patients with frontal lobe disorders. - Provides an overview of the structure, function, disorder and rehabilitation of the frontal lobes - Addresses a wide variety of methodologies – from genetics and molecular biology, to optogenetics and hi-res fMRI, and more - Contains content of interest to advanced students, junior researchers and clinicians getting involved in research - Features the input of leaders in neuroanatomical research from around the globe – the broadest, most expert coverage available