An Introductory Course in Computational Neuroscience

An Introductory Course in Computational Neuroscience
Author: Paul Miller
Publsiher: MIT Press
Total Pages: 405
Release: 2018-10-02
ISBN: 0262038250
Category: Science
Language: EN, FR, DE, ES & NL

An Introductory Course in Computational Neuroscience Book Excerpt:

A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a “flipped” or “inverted” teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.

From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience
Author: Michael A. Arbib,James J. Bonaiuto
Publsiher: MIT Press
Total Pages: 810
Release: 2016-11-11
ISBN: 0262034964
Category: Science
Language: EN, FR, DE, ES & NL

From Neuron to Cognition via Computational Neuroscience 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

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Thomas Trappenberg
Publsiher: Oxford University Press
Total Pages: 417
Release: 2010
ISBN: 0199568413
Category: Mathematics
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Excerpt:

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.

Computational Neuroscience

Computational Neuroscience
Author: Hanspeter Mallot
Publsiher: Springer
Total Pages: 135
Release: 2015-06-17
ISBN: 9783319033068
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Neuroscience Book Excerpt:

Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Distributed Computing and Artificial Intelligence 19th International Conference

Distributed Computing and Artificial Intelligence  19th International Conference
Author: Sigeru Omatu,Rashid Mehmood,Pawel Sitek,Serafino Cicerone,Sara Rodríguez
Publsiher: Springer Nature
Total Pages: 352
Release: 2022-12-12
ISBN: 3031208595
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Distributed Computing and Artificial Intelligence 19th International Conference Book Excerpt:

DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 61 papers were submitted, by authors from 28 different countries representing a truly “wide area network” of research activity. The DCAI’22 technical program has selected 32 full papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Indra, Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica dell'Università degli Studi dell'Aquila, Armundia Group, Whitehall Reply, T.C. Technologies And Comunication S.R.L., LCL Industria Grafica, AIR Institute, AEPIA, APPIA).

Emergent Behavior in System of Systems Engineering

Emergent Behavior in System of Systems Engineering
Author: Larry B. Rainey,O.Thomas Holland
Publsiher: CRC Press
Total Pages: 278
Release: 2022-08-05
ISBN: 1000622614
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Emergent Behavior in System of Systems Engineering Book Excerpt:

"This book compiles real-world case studies on discovering, understanding and engineering emergent behaviors in a computational environment across multiple application domains such as wargaming, biology, IoT, disaster management and space architecting. All the application domains are described through an undercurrent of System of Systems (SoS) engineering in conjunction with theoretical foundations required for engineering a Modeling and Simulation SoS capable of displaying valid emergent behavior. An excellent read and state-of-the-art in M&S of emergent behavior in complex systems!" --Dr. Saurabh Mittal, Department Chief Scientist, The MITRE Corporation This book is the of its kind to address real-world applications of the phenomenon of emergent behavior in real-world system of systems. It launches from the foundation of theory and basic understanding of the subject of emergent behavior as found in system of systems applications. It includes real-world examples where emergent behavior is manifested. Each chapter addresses the following major points, which are exploratory in nature: the physical results of the presence of emergent behavior; the implications for the existence of emergent behavior; the manifestation of emergent behavior; and methods to either control emergent behavior assuming its effects are negative in nature, or capitalize on emergent behavior given its effects are positive in nature.

Neuroscience for Psychologists

Neuroscience for Psychologists
Author: Marc L. Zeise
Publsiher: Springer Nature
Total Pages: 324
Release: 2020-11-30
ISBN: 3030476456
Category: Psychology
Language: EN, FR, DE, ES & NL

Neuroscience for Psychologists Book Excerpt:

This textbook is intended to give an introduction to neuroscience for students and researchers with no biomedical background. Primarily written for psychologists, this volume is a digest giving a rapid but solid overview for people who want to inform themselves about the core fields and core concepts in neuroscience but don’t need so many anatomical or biochemical details given in “classical” textbooks for future doctors or biologists. It does not require any previous knowledge in basic science, such as physics or chemistry. On the other hand, it contains chapters that do go beyond the issues dealt with in most neuroscience textbooks: One chapter about mathematical modelling in neuroscience and another about “tools of neuroscience” explaining important methods. The book is divided in two parts. The first part presents core concepts in neuroscience: Electrical Signals in the Nervous System Basics of Neuropharmacology Neurotransmitters The second part presents an overview of the neuroscience fields of special interest for psychology: Clinical Neuropharmacology Inputs, Outputs and Multisensory Processing Neural Plasticity in Humans Mathematical Modeling in Neuroscience Subjective Experience and its Neural Basis The last chapter, “Tools of Neuroscience” presents important methodogical approaches in neuroscience with a special focus on brain imaging. Neuroscience for Psychologists aims to fill a gap in the teaching literature by providing an introductory text for psychology students that can also be used in other social sciences courses, as well as a complement in courses of neurophysiology, neuropharmacology or similar in careers outside as well as inside biological or medical fields. Students of data sciences, chemistry and physics as well as engineering interested in neuroscience will also profit from the text.

20 Years of Computational Neuroscience

20 Years of Computational Neuroscience
Author: James M Bower
Publsiher: Springer Science & Business Media
Total Pages: 283
Release: 2013-07-11
ISBN: 1461414245
Category: Medical
Language: EN, FR, DE, ES & NL

20 Years of Computational Neuroscience Book Excerpt:

When funding agencies and policy organizations consider the role of modeling and simulation in modern biology, the question is often posed, what has been accomplished ? This book will be organized around a symposium on the 20 year history of the CNS meetings, to be held as part of CNS 2010 in San Antonio Texas in July 2010. The book, like the symposium is intended to summarize progress made in Computational Neuroscience over the last 20 years while also considering current challenges in the field. As described in the table of contents, the chapter’s authors have been selected to provide wide coverage of the applications of computational techniques to a broad range of questions and model systems in neuroscience. The proposed book will include several features that establish the history of the field. For each article, its author will select an article originally appearing in a CNS conference proceedings from 15 – 20 years ago. These short (less than 6 page) articles will provide illustrations of the state of the field 20 years ago. The new articles will describe what has been learned about the subject in the following 20 years, and pose specific challenges for the next 20 years. The second historical mechanism will be the reproduction of the first 12 years of posters from the CNS meeting. These posters in and of themselves have become famous in the field (they hang in the halls of the NIH in Bethesda Maryland) and were constructed as allegories for the state and development of computational neuroscience. The posters were designed by the book’s editor, who will, for the first time, provide a written description of each poster.

Introduction to Dynamic Modeling of Neuro Sensory Systems

Introduction to Dynamic Modeling of Neuro Sensory Systems
Author: Robert B. Northrop
Publsiher: CRC Press
Total Pages: 488
Release: 2000-11-27
ISBN: 142004172X
Category: Medical
Language: EN, FR, DE, ES & NL

Introduction to Dynamic Modeling of Neuro Sensory Systems Book Excerpt:

Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems presents the mathematical tools and methods that can describe and predict the dynamic behavior of single neurons, small assemblies of neurons devoted to a single tasks, as well as larger sensory arrays and their underlying neuropile. Focusing on small and medium-sized biological neural networks, the author pays particular attention to visual feature extraction, especially the compound eye visual system and the vertebrate retina. For computational efficiency, the treatment avoids molecular details of neuron function and uses the locus approach for medium-scale modeling of arrays. Rather than requiring readers to learn a dedicated simulation program, the author uses the general, nonlinear ordinary differential equation solver Simnonä for all examples and exercises. There is both art and science in setting up a computational model that can be validated from existing neurophysiological data. With clear prose, more than 200 figures and photographs, and unique focus, Introduction to Dynamic Modeling of Neuro-Sensory Systems develops the science, nurtures the art, and builds the foundation for more advanced work in neuroscience and the rapidly emerging field of neuroengineering.

Neuronal Dynamics

Neuronal Dynamics
Author: Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2014-07-24
ISBN: 113999316X
Category: Computers
Language: EN, FR, DE, ES & NL

Neuronal Dynamics Book Excerpt:

What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin–Huxley equations and Hopfield model, as well as modern developments in the field such as generalized linear models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.

Envisioning the Future of Doctoral Education

Envisioning the Future of Doctoral Education
Author: Chris M. Golde,George E. Walker
Publsiher: John Wiley & Sons
Total Pages: 472
Release: 2006-01-30
ISBN: 0787982350
Category: Education
Language: EN, FR, DE, ES & NL

Envisioning the Future of Doctoral Education Book Excerpt:

The development of students as “stewards of the discipline” should be the purpose of doctoral education. A steward is a scholar in the fullest sense of the term—someone who can imaginatively generate new knowledge, critically conserve valuable and useful ideas, and responsibly transform those understandings through writing, teaching, and application. Stewardship also has an ethical and moral dimension; it is a role that transcends a collection of accomplishments and skills. A steward is someone to whom the vigor, quality, and integrity of the field can be entrusted. The most important period of a steward’s formation occurs during formal doctoral education. Envisioning the Future of Doctoral Education is a collection of essays commissioned for the Carnegie Initiative on the Doctorate. The question posed to the essayists in this volume was, “If you could start de novo, what would be the best way to structure doctoral education in your field to prepare stewards of the discipline?” The authors of the essays are respected thinkers, researchers, and scholars who are experienced with and thoughtful about doctoral education.

Lectures in Supercomputational Neuroscience

Lectures in Supercomputational Neuroscience
Author: Peter Graben,Changsong Zhou,Marco Thiel,Jürgen Kurths
Publsiher: Springer
Total Pages: 377
Release: 2007-10-19
ISBN: 3540731598
Category: Science
Language: EN, FR, DE, ES & NL

Lectures in Supercomputational Neuroscience Book Excerpt:

Written from the physicist’s perspective, this book introduces computational neuroscience with in-depth contributions by system neuroscientists. The authors set forth a conceptual model for complex networks of neurons that incorporates important features of the brain. The computational implementation on supercomputers, discussed in detail, enables you to adapt the algorithm for your own research. Worked-out examples of applications are provided.

Computational Explorations in Cognitive Neuroscience

Computational Explorations in Cognitive Neuroscience
Author: Randall C. O'Reilly,Yuko Munakata
Publsiher: MIT Press
Total Pages: 540
Release: 2000-08-28
ISBN: 9780262650540
Category: Medical
Language: EN, FR, DE, ES & NL

Computational Explorations in Cognitive Neuroscience Book Excerpt:

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

Validating Neuro Computational Models of Neurological and Psychiatric Disorders

Validating Neuro Computational Models of Neurological and Psychiatric Disorders
Author: Basabdatta Sen Bhattacharya,Fahmida N. Chowdhury
Publsiher: Springer
Total Pages: 315
Release: 2015-10-30
ISBN: 3319200372
Category: Medical
Language: EN, FR, DE, ES & NL

Validating Neuro Computational Models of Neurological and Psychiatric Disorders 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 Neuroscience in Epilepsy

Computational Neuroscience in Epilepsy
Author: Ivan Soltesz,Kevin Staley
Publsiher: Academic Press
Total Pages: 624
Release: 2011-09-02
ISBN: 9780080559537
Category: Science
Language: EN, FR, DE, ES & NL

Computational Neuroscience in Epilepsy Book Excerpt:

Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures Contributors are top experts at the forefront of computational epilepsy research Chapter contents are highly relevant to both basic and clinical epilepsy researchers

Proceedings of the Second Brazilian Symposium on Mathematical and Computational Biology

Proceedings of the Second Brazilian Symposium on Mathematical and Computational Biology
Author: Anonim
Publsiher: Editora E-papers
Total Pages: 445
Release: 2002
ISBN: 8587922556
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Proceedings of the Second Brazilian Symposium on Mathematical and Computational Biology Book Excerpt:

MATLAB for Neuroscientists

MATLAB for Neuroscientists
Author: Pascal Wallisch,Michael E. Lusignan,Marc D. Benayoun,Tanya I. Baker,Adam Seth Dickey,Nicholas G. Hatsopoulos
Publsiher: Academic Press
Total Pages: 400
Release: 2010-07-28
ISBN: 9780080923284
Category: Medical
Language: EN, FR, DE, ES & NL

MATLAB for Neuroscientists Book Excerpt:

This is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research. The first comprehensive textbook on MATLAB with a focus for its application in neuroscience Problem based educational approach with many examples from neuroscience and cognitive psychology using real data Authors are award-winning educators with strong teaching experience

An Introduction to Neural Information Processing

An Introduction to Neural Information Processing
Author: Peiji Liang,Si Wu,Fanji Gu
Publsiher: Springer
Total Pages: 328
Release: 2015-12-22
ISBN: 9401773939
Category: Medical
Language: EN, FR, DE, ES & NL

An Introduction to Neural Information Processing Book Excerpt:

This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Thomas P. Trappenberg
Publsiher: Oxford : Oxford University Press
Total Pages: 338
Release: 2002
ISBN: 9780198515821
Category: Computers
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Excerpt:

This title includes the following features: An accessible introduction to the field of computational neuroscience; Aimed at graduate/postgraduates upwards in the cognitive and brain sciences; Accompanying webpage with MATLAB programmes to download; Affordable

Proc of the Third Brazilian Symp on Mathematical and Computational Biology v1

Proc  of the Third Brazilian Symp  on Mathematical and Computational Biology   v1
Author: Anonim
Publsiher: Editora E-papers
Total Pages: 455
Release: 2023
ISBN: 8587922882
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Proc of the Third Brazilian Symp on Mathematical and Computational Biology v1 Book Excerpt: