Mathematics For Neuroscientists

📒Mathematics For Neuroscientists ✍ Fabrizio Gabbiani

Mathematics For Neuroscientists Book PDF
✏Book Title : Mathematics for Neuroscientists
✏Author : Fabrizio Gabbiani
✏Publisher : Academic Press
✏Release Date : 2017-03-21
✏Pages : 628
✏ISBN : 9780128019061
✏Available Language : English, Spanish, And French

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✏Mathematics for Neuroscientists Book Summary : Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. Fully revised material and corrected text Additional chapters on extracellular potentials, motion detection and neurovascular coupling Revised selection of exercises with solutions More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts

Exam Prep For Mathematics For Neuroscientists Book PDF
✏Book Title : Exam Prep for Mathematics for Neuroscientists
✏Author :
✏Publisher :
✏Release Date :
✏Pages :
✏ISBN :
✏Available Language : English, Spanish, And French

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✏Exam Prep for Mathematics for Neuroscientists Book Summary :

Mathematical Foundations Of Neuroscience Book PDF
✏Book Title : Mathematical Foundations of Neuroscience
✏Author : G. Bard Ermentrout
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-07-01
✏Pages : 422
✏ISBN : 9780387877082
✏Available Language : English, Spanish, And French

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✏Mathematical Foundations of Neuroscience Book Summary : This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.

Stochastic Methods In Neuroscience Book PDF
✏Book Title : Stochastic Methods in Neuroscience
✏Author : Carlo Laing
✏Publisher : OUP Oxford
✏Release Date : 2009-09-24
✏Pages : 396
✏ISBN : 9780191607981
✏Available Language : English, Spanish, And French

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✏Stochastic Methods in Neuroscience Book Summary : Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area. Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameter estimation; and the numerical approximation of these stochastic models. Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.

📒Mathematical Neuroscience ✍ Stanislaw Brzychczy

Mathematical Neuroscience Book PDF
✏Book Title : Mathematical Neuroscience
✏Author : Stanislaw Brzychczy
✏Publisher : Academic Press
✏Release Date : 2013-08-16
✏Pages : 208
✏ISBN : 9780124104822
✏Available Language : English, Spanish, And French

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✏Mathematical Neuroscience Book Summary : Mathematical Neuroscience is a book for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear analysis of infinite systems based on functional analysis techniques arising in modern mathematics. Neural models that describe the spatio-temporal evolution of coarse-grained variables—such as synaptic or firing rate activity in populations of neurons —and often take the form of integro-differential equations would not normally reflect an integrative approach. This book examines the solvability of infinite systems of reaction diffusion type equations in partially ordered abstract spaces. It considers various methods and techniques of nonlinear analysis, including comparison theorems, monotone iterative techniques, a truncation method, and topological fixed point methods. Infinite systems of such equations play a crucial role in the integrative aspects of neuroscience modeling. The first focused introduction to the use of nonlinear analysis with an infinite dimensional approach to theoretical neuroscience Combines functional analysis techniques with nonlinear dynamical systems applied to the study of the brain Introduces powerful mathematical techniques to manage the dynamics and challenges of infinite systems of equations applied to neuroscience modeling

Invited Lectures From The 13th International Congress On Mathematical Education Book PDF
✏Book Title : Invited Lectures from the 13th International Congress on Mathematical Education
✏Author : Gabriele Kaiser
✏Publisher : Springer
✏Release Date : 2018-02-05
✏Pages : 786
✏ISBN : 9783319721705
✏Available Language : English, Spanish, And French

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✏Invited Lectures from the 13th International Congress on Mathematical Education Book Summary : The book presents the Invited Lectures given at 13th International Congress on Mathematical Education (ICME-13). ICME-13 took place from 24th- 31st July 2016 at the University of Hamburg in Hamburg (Germany). The congress was hosted by the Society of Didactics of Mathematics (Gesellschaft für Didaktik der Mathematik - GDM) and took place under the auspices of the International Commission on Mathematical Instruction (ICMI). ICME-13 – the biggest ICME so far - brought together about 3500 mathematics educators from 105 countries, additionally 250 teachers from German speaking countries met for specific activities. The scholars came together to share their work on the improvement of mathematics education at all educational levels.. The papers present the work of prominent mathematics educators from all over the globe and give insight into the current discussion in mathematics education. The Invited Lectures cover a wide spectrum of topics, themes and issues and aim to give direction to future research towards educational improvement in the teaching and learning of mathematics education. This book is of particular interest to researchers, teachers and curriculum developers in mathematics education.

Computational Neuroscience Trends In Research 2004 Book PDF
✏Book Title : Computational Neuroscience Trends in Research 2004
✏Author : E. De Schutter
✏Publisher : Elsevier
✏Release Date : 2004-07-10
✏Pages : 1228
✏ISBN : 0444516492
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Trends in Research 2004 Book Summary : 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.

📒Educational Neuroscience ✍ Kathryn E. Patten

Educational Neuroscience Book PDF
✏Book Title : Educational Neuroscience
✏Author : Kathryn E. Patten
✏Publisher : John Wiley & Sons
✏Release Date : 2011-09-07
✏Pages : 120
✏ISBN : 9781444345803
✏Available Language : English, Spanish, And French

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✏Educational Neuroscience Book Summary : Educational Neuroscience provides an overview of the wide range of recent initiatives in educational neuroscience, examining a variety of methodological concerns, issues, and directions. Encourages interdisciplinary perspectives in educational neuroscience Contributions from leading researchers examine key issues relating to educational neuroscience and mind, brain, and education more generally Promotes a theoretical and empirical base for the subject area Explores a range of methods available to researchers Identifies agencies, organizations, and associations facilitating development in the field Reveals a variety of on-going efforts to establish theories, models, methods, ethics, and a common language

📒Computational Neuroscience ✍ Hanspeter A Mallot

Computational Neuroscience Book PDF
✏Book Title : Computational Neuroscience
✏Author : Hanspeter A Mallot
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-05-23
✏Pages : 135
✏ISBN : 9783319008615
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Book Summary : 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.

Signal Processing For Neuroscientists Book PDF
✏Book Title : Signal Processing for Neuroscientists
✏Author : Wim van Drongelen
✏Publisher : Academic Press
✏Release Date : 2018-04-20
✏Pages : 740
✏ISBN : 9780128104835
✏Available Language : English, Spanish, And French

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✏Signal Processing for Neuroscientists Book Summary : Signal Processing for Neuroscientists, Second Edition provides an introduction to signal processing and modeling for those with a modest understanding of algebra, trigonometry and calculus. With a robust modeling component, this book describes modeling from the fundamental level of differential equations all the way up to practical applications in neuronal modeling. It features nine new chapters and an exercise section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics using identical or similar mathematics presents a didactic advantage and a significant resource for neuroscientists with quantitative interest. Although each of the topics introduced could fill several volumes, this book provides a fundamental and uncluttered background for the non-specialist scientist or engineer to not only get applications started, but also evaluate more advanced literature on signal processing and modeling. Includes an introduction to biomedical signals, noise characteristics, recording techniques, and the more advanced topics of linear, nonlinear and multi-channel systems analysis Features new chapters on the fundamentals of modeling, application to neuronal modeling, Kalman filter, multi-taper power spectrum estimation, and practice exercises Contains the basics and background for more advanced topics in extensive notes and appendices Includes practical examples of algorithm development and implementation in MATLAB Features a companion website with MATLAB scripts, data files, figures and video lectures

📒Dynamical Systems In Neuroscience ✍ Eugene M. Izhikevich

Dynamical Systems In Neuroscience Book PDF
✏Book Title : Dynamical Systems in Neuroscience
✏Author : Eugene M. Izhikevich
✏Publisher : MIT Press
✏Release Date : 2007
✏Pages : 441
✏ISBN : 9780262090438
✏Available Language : English, Spanish, And French

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✏Dynamical Systems in Neuroscience Book Summary : In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.

Signal Processing For Neuroscientists Book PDF
✏Book Title : Signal Processing for Neuroscientists
✏Author : Wim van Drongelen
✏Publisher :
✏Release Date : 2007
✏Pages : 308
✏ISBN : 0123708672
✏Available Language : English, Spanish, And French

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✏Signal Processing for Neuroscientists Book Summary : Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. * Multiple color illustrations are integrated in the text * Includes an introduction to biomedical signals, noise characteristics, and recording techniques * Basics and background for more advanced topics can be found in extensive notes and appendices * A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670

Dynamic Neuroscience Book PDF
✏Book Title : Dynamic Neuroscience
✏Author : Zhe Chen
✏Publisher : Springer
✏Release Date : 2017-12-27
✏Pages : 327
✏ISBN : 9783319719764
✏Available Language : English, Spanish, And French

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✏Dynamic Neuroscience Book Summary : This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.

📒Neuroscience For Clinicians ✍ C. Alexander Simpkins

Neuroscience For Clinicians Book PDF
✏Book Title : Neuroscience for Clinicians
✏Author : C. Alexander Simpkins
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-09-14
✏Pages : 345
✏ISBN : 9781461448426
✏Available Language : English, Spanish, And French

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✏Neuroscience for Clinicians Book Summary : This book fills the need for an introductory text that opens the field up to the beginner and takes them to higher-level thinking about neuroscience. Neuroscience has captured the interest of students, professionals, and the general public. In fact it is so new, that there are very few books that gather it together in one text. Neuroscience is an amalgamation of many fields: psychology, cognitive science, chemistry, biology, engineering, philosophy, mathematics, and statistics. People who are new to the discipline have to be able to find their way through all of these fields together. In addition, they need to understand the highly technical lexicon, modeling methods, and theoretical assumptions used to describe brain structure, function, and the interaction between them. This book helps readers navigate the conventions used to describe the brain that developed through the years. The authors crystallize the complex modeling methods and technologies so that readers understand what they are saying and how to use them. They address the important underlying principles and important issues of neuroscience, with the debates and discussions that are ongoing as the field evolves. They also include many salient fine-grained details so that the book is not just an overview, but also a useful guide for many levels of readers.

📒Education And Neuroscience ✍ Paul Howard-Jones

Education And Neuroscience Book PDF
✏Book Title : Education and Neuroscience
✏Author : Paul Howard-Jones
✏Publisher : Routledge
✏Release Date : 2013-09-13
✏Pages : 88
✏ISBN : 9781317987697
✏Available Language : English, Spanish, And French

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✏Education and Neuroscience Book Summary : This book brings together contributions from scientists and educators at the forefront of interdisciplinary research efforts involving neuroscience and education. It includes consideration of what we know about brain function that may be relevant to educational areas including reading, mathematics, music and creativity. The increasing interest of educators in neuroscience also brings dangers with it, as evidenced by the proliferation of neuromyths within schools and colleges. For this reason, it also reviews some of the more prominent misconceptions, as well as exploring how educational understanding can be constructed in the future that includes concepts from neuroscience more judiciously. This book will be of interest to educators, policymakers and scientists seeking fresh perspectives on how we learn. This book was published as a special issue in Educational Research, a journal of the National Foundation for Educational Research (NFER).

Signal Processing For Neuroscientists A Companion Volume Book PDF
✏Book Title : Signal Processing for Neuroscientists A Companion Volume
✏Author : Wim van Drongelen
✏Publisher : Elsevier
✏Release Date : 2010-08-26
✏Pages : 186
✏ISBN : 9780123849168
✏Available Language : English, Spanish, And French

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✏Signal Processing for Neuroscientists A Companion Volume Book Summary : The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In addition, neuroscience has entered the age of light, and fluorescence measurements are fully integrated into the researcher’s toolkit. Because each image in a movie contains multiple pixels, these measurements are multi-channel by nature. Furthermore, the availability of both generic and specialized software packages for data analysis has altered the neuroscientist’s attitude toward some of the more complex analysis techniques. This book is a companion to the previously published Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, which introduced readers to the basic concepts. It discusses several advanced techniques, rediscovers methods to describe nonlinear systems, and examines the analysis of multi-channel recordings. Covers the more advanced topics of linear and nonlinear systems analysis and multi-channel analysis Includes practical examples implemented in MATLAB Provides multiple references to the basics to help the student

Fundamentals Of Computational Neuroscience Book PDF
✏Book Title : Fundamentals of Computational Neuroscience
✏Author : Thomas Trappenberg
✏Publisher : Oxford University Press
✏Release Date : 2010
✏Pages : 390
✏ISBN : 9780199568413
✏Available Language : English, Spanish, And French

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✏Fundamentals of Computational Neuroscience Book Summary : The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can begained with such studies.

📒Neuroscience In Education ✍ Sergio Della Sala

Neuroscience In Education Book PDF
✏Book Title : Neuroscience in Education
✏Author : Sergio Della Sala
✏Publisher : Oxford University Press
✏Release Date : 2012-04-05
✏Pages : 385
✏ISBN : 9780199600496
✏Available Language : English, Spanish, And French

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✏Neuroscience in Education Book Summary : In the past ten years, there has been growing interest in applying our knowledge of the functioning of the human brain to the field of education-including reading, learning, language and mathematics. This has resulted in the development of a number of new practices in education-some good, some bad and some just crazy. Neuroscience in Education brings together an international group of leading psychologists, neuroscientists, educationalists andgeneticists to critically review some of these new developments, examining the science behind these practices, the validity of the theories on which they are based, and whether they work. It will be fascinating reading for anyone involved in education, including teachers, psychologists, neuroscientists, andpolicy makers as well as interested parents.

Eminent Neuroscientists Their Lives And Works Book PDF
✏Book Title : Eminent Neuroscientists Their Lives and Works
✏Author : Kalyan B. Bhattacharyya
✏Publisher : Academic Publishers
✏Release Date : 2011
✏Pages : 443
✏ISBN : 9380599285
✏Available Language : English, Spanish, And French

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✏Eminent Neuroscientists Their Lives and Works Book Summary :

Computational Neuroscience Trends In Research 1999 Book PDF
✏Book Title : Computational Neuroscience Trends in Research 1999
✏Author : J.M. Bower
✏Publisher : Elsevier Science
✏Release Date : 1999-07-22
✏Pages : 1090
✏ISBN : 0444503072
✏Available Language : English, Spanish, And French

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✏Computational Neuroscience Trends in Research 1999 Book Summary : This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletree Inn in Santa Barbara, California. 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.

Developing A 21st Century Neuroscience Workforce Book PDF
✏Book Title : Developing a 21st Century Neuroscience Workforce
✏Author : Institute of Medicine
✏Publisher : National Academies Press
✏Release Date : 2015-08-26
✏Pages : 128
✏ISBN : 9780309368773
✏Available Language : English, Spanish, And French

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✏Developing a 21st Century Neuroscience Workforce Book Summary : From its very beginning, neuroscience has been fundamentally interdisciplinary. As a result of rapid technological advances and the advent of large collaborative projects, however, neuroscience is expanding well beyond traditional subdisciplines and intellectual boundaries to rely on expertise from many other fields, such as engineering, computer science, and applied mathematics. This raises important questions about to how to develop and train the next generation of neuroscientists to ensure innovation in research and technology in the neurosciences. In addition, the advent of new types of data and the growing importance of large datasets raise additional questions about how to train students in approaches to data analysis and sharing. These concerns dovetail with the need to teach improved scientific practices ranging from experimental design (e.g., powering of studies and appropriate blinding) to improved sophistication in statistics. Of equal importance is the increasing need not only for basic researchers and teams that will develop the next generation of tools, but also for investigators who are able to bridge the translational gap between basic and clinical neuroscience. Developing a 21st Century Neuroscience Workforce is the summary of a workshop convened by the Institute of Medicine's Forum on Neuroscience and Nervous System Disorders on October 28 and 29,2014, in Washington, DC, to explore future workforce needs and how these needs should inform training programs. Workshop participants considered what new subdisciplines and collaborations might be needed, including an examination of opportunities for cross-training of neuroscience research programs with other areas. In addition, current and new components of training programs were discussed to identify methods for enhancing data handling and analysis capabilities, increasing scientific accuracy, and improving research practices. This report highlights the presentation and discussion of the workshop.

Bridging The Gap Between Neuroscience And Education Book PDF
✏Book Title : Bridging the Gap Between Neuroscience and Education
✏Author :
✏Publisher :
✏Release Date : 1996
✏Pages : 28
✏ISBN : STANFORD:36105029445272
✏Available Language : English, Spanish, And French

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✏Bridging the Gap Between Neuroscience and Education Book Summary :

📒Law Of Love The Mathematics Of Spirituality ✍ Raju Sitaram Chidambaram, Ph.d.

Law Of Love The Mathematics Of Spirituality Book PDF
✏Book Title : Law of Love the Mathematics of Spirituality
✏Author : Raju Sitaram Chidambaram, Ph.d.
✏Publisher : AuthorHouse
✏Release Date : 2011-11
✏Pages : 308
✏ISBN : 9781456794996
✏Available Language : English, Spanish, And French

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✏Law of Love the Mathematics of Spirituality Book Summary :

The Simpsons And Their Mathematical Secrets Book PDF
✏Book Title : The Simpsons and Their Mathematical Secrets
✏Author : Simon Singh
✏Publisher : A&C Black
✏Release Date : 2013-10-29
✏Pages : 272
✏ISBN : 9781408835319
✏Available Language : English, Spanish, And French

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✏The Simpsons and Their Mathematical Secrets Book Summary : You may have watched hundreds of episodes of The Simpsons (and its sister show Futurama) without ever realising that they contain enough maths to form an entire university course. In The Simpsons and Their Mathematical Secrets, Simon Singh explains how the brilliant writers, some of the mathematicians, have smuggled in mathematical jokes throughout the cartoon's twenty-five year history, exploring everything from to Mersenne primes, from Euler's equation to the unsolved riddle of P vs. NP, from perfect numbers to narcissistic numbers, and much more. With wit, clarity and a true fan's zeal, Singh analyses such memorable episodes as 'Bart the Genius' and 'Homer3' to offer an entirely new insight into the most successful show in television history.

📒The Trouble With Maths ✍ Steve Chinn

The Trouble With Maths Book PDF
✏Book Title : The Trouble with Maths
✏Author : Steve Chinn
✏Publisher : Routledge
✏Release Date : 2004-03-25
✏Pages : 192
✏ISBN : 9781134343959
✏Available Language : English, Spanish, And French

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✏The Trouble with Maths Book Summary : What is the trouble with maths? This book offers important insights into the often confusing world of numeracy. By looking at learning difficulties in maths from several perspectives, including the language of mathematics, thinking styles and the demands of individual topics, Steve Chinn delivers a comprehensive text that will become an essential classroom companion to anyone who uses it. Whilst considering every aspect concerning maths and learning, this book provides a perfect balance of advice, guidance and practical activities, enabling the reader to: * develop flexible thinking skills * use alternative strategies for pupils to access basic facts * implement effective preventative measures before disaffection sets in * recognise maths anxiety and tackle self-esteem problems * make accurate ongoing assessments of pupils' difficulties * design informal diagnostic procedures. With useful features such as checklists for the evaluation of books, software and test materials, this book highlights essential skills that will allow teachers to diagnose and address maths difficulties and improve standards. It draws on tried and tested methods based on the author's years of classroom experience to provide an authoritative yet highly accessible one-stop classroom resource for all teachers, classroom assistants, Special Educational Needs Co-ordinators, student teachers, and learning support staff.

📒Brain Warping ✍ Arthur W. Toga

Brain Warping Book PDF
✏Book Title : Brain Warping
✏Author : Arthur W. Toga
✏Publisher : Elsevier
✏Release Date : 1998-11-17
✏Pages : 385
✏ISBN : 0080525547
✏Available Language : English, Spanish, And French

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✏Brain Warping Book Summary : Brain Warping is the premier book in the field of brain mapping to cover the mathematics, physics, computer science, and neurobiological issues related to brain spatial transformation and deformation correction. All chapters are organized in a similar fashion, covering the history, theory, and implementation of the specific approach discussed for ease of reading. Each chapter also discusses the computer science implementations, including descriptions of the programs and computer codes used in its execution. Readers of Brain Warping will be able to understand all of the approaches currently used in brain mapping, incorporating multimodality, and multisubject comparisons. Key Features * The only book of its kind * Subject matter is the fastest growing area in the field of brain mapping * Presents geometrically-based approaches to the field of brain mapping * Discusses intensity-based approaches to the field of brain mapping

Neuroscience And Connectionist Theory Book PDF
✏Book Title : Neuroscience and Connectionist Theory
✏Author : Mark A. Gluck
✏Publisher : Psychology Press
✏Release Date : 2013-02-01
✏Pages : 424
✏ISBN : 9781134751730
✏Available Language : English, Spanish, And French

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✏Neuroscience and Connectionist Theory Book Summary : Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.

Dyslexia Dyspraxia And Mathematics Book PDF
✏Book Title : Dyslexia Dyspraxia and Mathematics
✏Author : Dorian Yeo
✏Publisher : Wiley-Blackwell
✏Release Date : 2003
✏Pages : 459
✏ISBN : UVA:X004706883
✏Available Language : English, Spanish, And French

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✏Dyslexia Dyspraxia and Mathematics Book Summary : Written by a teacher with many years' experience of teaching mathematics to primary school dyslexic and dyspraxic children with a wide range of abilities, this book is designed to be a practical teaching guide. It offers detailed guidance and specific teaching suggestions to all specialist teachers, support teachers, classroom teachers and parents who either directly teach mathematics to dyslexic and dyspraxic children or who support the mathematics teaching programmes of dyslexic or dyspraxic children. Although the book has grown out of teaching experience it is also informed by widely acknowledged contemporary and international research, which explores the cognitive aspects of learning mathematics and tries to understand why it is that some children fail to learn mathematics. Many of the teaching principles described in the text have specific and quite far-reaching implications. The theoretical arguments should therefore also be of interest to special needs co-ordinators, heads of maths departments, head teachers or other professionals who are responsible for designing or modifying the maths learning programmes of children with special learning and maths difficulties. In more general terms, the book hopes to contribute to the broad discussion of the cognitive features and educational needs of dyslexic and dyspraxic children.

Statistical Techniques For Neuroscientists Book PDF
✏Book Title : Statistical Techniques for Neuroscientists
✏Author : Young K. Truong
✏Publisher : CRC Press
✏Release Date : 2016-10-04
✏Pages : 415
✏ISBN : 9781315356754
✏Available Language : English, Spanish, And French

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✏Statistical Techniques for Neuroscientists Book Summary : Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Philosophy And Neuroscience Book PDF
✏Book Title : Philosophy and Neuroscience
✏Author : J. Bickle
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-03-07
✏Pages : 235
✏ISBN : 9789401002370
✏Available Language : English, Spanish, And French

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✏Philosophy and Neuroscience Book Summary : Philosophy and Neuroscience: A Ruthlessly Reductive Account is the first book-length treatment of philosophical issues and implications in current cellular and molecular neuroscience. John Bickle articulates a philosophical justification for investigating "lower level" neuroscientific research and describes a set of experimental details that have recently yielded the reduction of memory consolidation to the molecular mechanisms of long-term potentiation (LTP). These empirical details suggest answers to recent philosophical disputes over the nature and possibility of psycho-neural scientific reduction, including the multiple realization challenge, mental causation, and relations across explanatory levels. Bickle concludes by examining recent work in cellular neuroscience pertaining to features of conscious experience, including the cellular basis of working memory, the effects of explicit selective attention on single-cell activity in visual cortex, and sensory experiences induced by cortical microstimulation.