Neuro-informatics and Neural Modelling

Neuro-informatics and Neural Modelling PDF Author: F. Moss
Publisher: Gulf Professional Publishing
ISBN: 0080537421
Category : Medical
Languages : en
Pages : 1081

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Book Description
How do sensory neurons transmit information about environmental stimuli to the central nervous system? How do networks of neurons in the CNS decode that information, thus leading to perception and consciousness? These questions are among the oldest in neuroscience. Quite recently, new approaches to exploration of these questions have arisen, often from interdisciplinary approaches combining traditional computational neuroscience with dynamical systems theory, including nonlinear dynamics and stochastic processes. In this volume in two sections a selection of contributions about these topics from a collection of well-known authors is presented. One section focuses on computational aspects from single neurons to networks with a major emphasis on the latter. The second section highlights some insights that have recently developed out of the nonlinear systems approach.

Neuro-informatics and Neural Modelling

Neuro-informatics and Neural Modelling PDF Author: F. Moss
Publisher: Gulf Professional Publishing
ISBN: 0080537421
Category : Medical
Languages : en
Pages : 1081

Get Book Here

Book Description
How do sensory neurons transmit information about environmental stimuli to the central nervous system? How do networks of neurons in the CNS decode that information, thus leading to perception and consciousness? These questions are among the oldest in neuroscience. Quite recently, new approaches to exploration of these questions have arisen, often from interdisciplinary approaches combining traditional computational neuroscience with dynamical systems theory, including nonlinear dynamics and stochastic processes. In this volume in two sections a selection of contributions about these topics from a collection of well-known authors is presented. One section focuses on computational aspects from single neurons to networks with a major emphasis on the latter. The second section highlights some insights that have recently developed out of the nonlinear systems approach.

Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience PDF Author: David Sterratt
Publisher: Cambridge University Press
ISBN: 1108483143
Category : Science
Languages : en
Pages : 553

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Book Description
Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.

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


Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience PDF Author: Thomas Trappenberg
Publisher: Oxford University Press
ISBN: 0199568413
Category : Mathematics
Languages : en
Pages : 417

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Book Description
The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

Neuroinformatics

Neuroinformatics PDF Author: Chiquito J. Crasto
Publisher: Springer Science & Business Media
ISBN: 1588297209
Category : Medical
Languages : en
Pages : 419

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Book Description
Neuroinformatics presents cutting-edge techniques for the synergistic study of neuroinformatics. The book facilitates the efforts of discovering neuroscience through the sharing of data and the use of computational models. It demonstrates the use of neuroinformatic components as a mechanism for understanding complex disorders. It contains detailed explanations, advantages, and disadvantages of traditional and non-invasive imaging methods.

Frontiers in neuroinformatics editor’s pick 2021

Frontiers in neuroinformatics editor’s pick 2021 PDF Author: Jan G. Bjaalie
Publisher: Frontiers Media SA
ISBN: 2832515959
Category : Science
Languages : en
Pages : 352

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Book Description


Computing the Brain

Computing the Brain PDF Author: Michael A. Arbib
Publisher: Academic Press
ISBN: 9780120597819
Category : Computers
Languages : en
Pages : 412

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Book Description
Watching her sister in a losing battle with anorexia as a result of being unable to cope with the death of their father, Holly realizes that her own dreams must be put aside for the moment in order to help her sister get through this difficult period by teaching her how to deal with the loss in a healthy way before it's too late. Reprint.

Neuroinformatics for Neuropsychology

Neuroinformatics for Neuropsychology PDF Author: Vinoth Jagaroo
Publisher: Springer Science & Business Media
ISBN: 1441900608
Category : Psychology
Languages : en
Pages : 133

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Book Description
Bioinformatics involves specialized application of computer technology to investigative and conceptual problems in biology and medicine; neuroinformatics (NI) is the practice of bioinformatics in the neurosciences. Over the past two decades the biomedical sciences have been revolutionized by databases, data mining and data modeling techniques. The Human Genome Project, which depended on informatics methods, has been the most well recognized bioinformatics undertaking. Bioinformatics has since been applied all across biology and medicine, and has also transformed almost every avenue in neuroscience. Yet in neuropsychology, NI perspectives remain largely unrealized. Ironically, NI offers enormous potential to the essential praxis of neuropsychology - assessing cognitive behavior and relating cognition to neural systems. Neuroinformatics can be applied to neuropsychology as richly as it has been applied across the neurosciences. Neuroinformatics for Neuropsychology is the first book to explain the relevance and value of NI to neuropsychology. It systematically describes NI tools, applications and models that can enhance the efforts of neuropsychologists. It also describes the implications of NI for neuropsychology in the 21st century – fundamental shifts away from the conventional modes of research, practice and communication that have thus far characterized the field. One of the foremost experts on the subject: Illustrates the vital role NI is playing throughout the neurosciences. Provides a sampling of NI tools and applications in neuroscience research, and lays out current organization structures that support NI. Describes the lack of NI in neuropsychology, differentiates between NI systems for neuropsychology and conventional computerized assessment methods, and proposes criteria for neuropsychology-specific NI systems. Describes NI applications and models currently in use in neuropsychology, and NI models for neuropsychology that are being pioneered in phenomics research. Discusses potential obstacles and aids to NI in neuropsychology, including issues such as data sharing, standardization of methods, and data ontology. Projects the future of neuropsychological research and practice in light of the new generation of the internet, Web 2.0, geared to collective knowledge building. A vital introduction to a profound technological practice, Neuroinformatics for Neuropsychology is important reading for clinical neuropsychologists, cognitive neuroscientists, behavioral neurologists, and speech-language pathologists. Researchers, clinicians, and graduate students interested in informatics for the brain-behavioral sciences will especially welcome this unique volume.

Artificial Neural Networks

Artificial Neural Networks PDF Author: Petia Koprinkova-Hristova
Publisher: Springer
ISBN: 3319099035
Category : Technology & Engineering
Languages : en
Pages : 487

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Book Description
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

Python in Neuroscience

Python in Neuroscience PDF Author: Eilif Muller
Publisher: Frontiers Media SA
ISBN: 2889196089
Category : Neurosciences. Biological psychiatry. Neuropsychiatry
Languages : en
Pages : 275

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Book Description
Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.