Download for offline reading, highlight, bookmark or take notes while you read Fundamentals of Computational Neuroscience: Edition 2. 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. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges. If you are using a Windows machine and are for some reason unable or unwilling to upgrade that machine to Linux, you can still use Python … 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. Faculty at CBMM academic partner institutions offer interdisciplinary courses that integrate computational and empirical approaches used in the study of intelligence. Python something to graph: In [1]: x = array([1,2,3,4,5]) In [2]: y = x+3 1In all examples, this book will assume that you are using a Unix-based computer: either Linux or Macintosh. 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. More than 50 original line drawings illustrate key concepts. An undergraduate introduction to differential equations is more than enough mathematical background. * Comprehensive glossary provides an easy review of difficult terminology. In Order to Read Online or Download Python In Neuroscience Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. The proposed book will include several features that establish the history of the field. 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. The motivational approach. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. keyboard, mouse) and specialised equipment (e.g. In Order to Read Online or Download Python In Neuroscience Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. 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". Download Abstracts of the Fifth European Neuroscience Congress book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. * Chapter on the neural control of human locomotion integrates concepts in previous chapters to show the harmony of neural interaction that is needed to complete any motor act. eye trackers); how to log data; and how to control timing. Author, subject indexes. 1.4 This book creates a public record of learning that exists after the semester ends Compatible with any devices. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced techniques required to analyse trace data (e.g. 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. Download Neuroscience Letters book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.. As the eld moves forward rapidly, new challenges are emerging. Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. This is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. Download The Journal of Neuroscience book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Fast Download Speed ~ Commercial & Ad Free. * Includes the most current research on the neural control of hand-eye coordination, discussed in relation to its importance to rehabilitation medicine and childrens' physical education. 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. via PyNN). There's also comprehensive guided analysis for each analytic method that includes tutorial-style instruction and sample datasets. Numerous worked examples to demonstrate the themes and procedures of cognitive modelling. The book provides an introduction to the theory, technology, and techniques of EEG data analysis along with the practical skills required to engage this popular technology. It will be especially valuable to psychology students. Read this book using Google Play Books app on your PC, android, iOS devices. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. "For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed." The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. This is a unique and invaluable resource - a must-have for scientists interested in the social brain." This book is perfect for advanced students and researchers in the psychological sciences and related disciplines who are using EEG in their research. Beginning with a background in the neural origins and physical principles involved in recording EEG, readers will also find discussions of practical considerations regarding the recording of EEG in humans as well as tips for the configuration of an EEG laboratory. Download Society for Neuroscience Abstracts book written by Society for Neuroscience. * Includes the latest research (by the author) showing that humans can consciously alter reflex activity and the impact of these findings on athletic performance, recovery from injury, and motor learning. Computational Neuroscience and Cognitive Modeling (Anderson 2014) is written by Britt Anderson, MD, a psychologist at University of Waterloo.His motivation is clearly stated: “I find many psychological undergraduates are interested in computational modelling, but that there is not a lot of literature or texts to help them get started. Visit us for the free online book, teaching materials, online lectures and more. Monthly, with annual subject and author indexes. Python is rapidly becoming the de facto standard language for systems integration. Trappenburg's 'Fundamentals of Computational Neuroscience' is in my opinion the best book for learning computational neuroscience. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python. pupil size) and gaze data. - David M. Amodio, New York University Electroencephalography (EEG) has seen a dramatic increase in application as a research tool in the psychological sciences in recent years. Book This book does not require a rating on the project's quality scale. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. * Presents difficult information on neuroscience in an easy-to-understand manner. Computational neuroscience (CN) is strictly defined as the quantitative understanding of the function of the brain at the level of neuronal dynamics and neural networks. A Primer with MATLAB® and Python™ present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. Meeting, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. There are questions and worked examples to get you up to speed on the subject. - Anjan Chatterjee, Professor of Neurology, University of Pennsylvania "Anderson provides a gentle introduction to computational aspects of psychological science, managing to respect the reader’s intelligence while also being completely unintimidating. neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. Meeting, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. In some cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research. * Presents typical spinal cord and brainstem reflexes involved in motor control and discusses the methods for using these reflexes to influence strength gains and muscle flexibility. Using carefully-selected computational demonstrations, he guides students through a wide array of important approaches and tools, with little in the way of prerequisites...I recommend it with enthusiasm." Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. 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. Compatible with any devices. Computational neuroscience is an approach to understanding the development and function of nervous systems at many different structural scales, including the biophysical, the circuit, and the systems levels. Natural outputs of CN studies are dynamic network models of brain regions or processes that, via computer simulation, provide a theoretical foundation and technology that enhances our understanding of their […] Python is rapidly becoming the de facto standard language for systems integration. * Concepts are illustrated with anecdotes and examples making difficult information less intimidating and easier to grasp. Presents examples of practical applications of neuromorphic design principles. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. Compatible with any devices. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. The proceedings of the 8th annual Python for Scientific Computing conference. 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. These short (less than 6 page) articles will provide illustrations of the state of the field 20 years ago. Includes discussions of both MATLAB and Python in parallel Introduces the canonical data analysis cascade, standardizing the data analysis flow Presents tactics that strategically, tactically, and algorithmically help improve the organization of code. Python is rapidly becoming the de facto standard language for systems integration. This book provides an introduction to the technology and techniques of EEG in the context of social and cognitive neuroscience research that will appeal to investigators (students or researchers) wishing to broaden their research aims to include EEG, and to those already using EEG but wishing to expand their analytic repertoire. Download Society for Neuroscience Abstracts book written by Society for Neuroscience. "A unique and important resource, full of critical practical knowledge and technical details made readily accessible." Annual Meeting, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Computational, theoretical and systems neuroscience has been a recent focus of development for the neuroscience community at Cambridge. Computational neuroscience is a rapidly-evolving field, so an open textbook allows for more rapid editing, addition, and dissemination than is afforded by a traditional publishing model. Videos Support Us. Computational Neuroscience and Cognitive Modelling "For the neuroscientist or psychologist who cringes at the sight of mathematical formulae and whose eyes glaze over at terms like differential equations, linear algebra, vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed." 3.3 What is computational neuroscience?. Fundamentals of Computational Neuroscience, 2e Written for students and researchers working in the brain sciences, this book provides comprehensive coverage of computational neuroscience. A conceptual background and review of domain-specific applications of the method is provided for each type of analysis. Compatible with any devices. Organized into thematic sections, the book spans from modelling integrate and firing neurons to playing the game Rock, Paper, Scissors in ACT-R. Download Reproducibility and Rigour in Computational Neuroscience book written by Sharon Crook,Andrew P. Davison,Robert Andrew McDougal,Hans Ekkehard Plesser, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Featuring the latest findings from top scholars in the field, it offers detailed insights into the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as applying neuroscience and neurophysiological to advance IS theory. Methods in Computational Neuroscience: a course hosted by the Marine Biological Laboratory that introduces computational and mathematical techniques in neuroscience. Python in Computational Neuroscience mdp-toolkit.sourceforge.net Python has gained much popularity in science, thanks to its available libraries and language quality. Duyệt eBookstore lớn nhất của thế giới và bắt đầu đọc ngay hôm nay trên web, máy tính bảng, điện thoại hoặc thiết bị đọc sách điện tử. Get any books you like and read everywhere you want. 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. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. The analytic methods covered include event-related brain potentials (ERPs), spectral asymmetry, and time-frequency analyses. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. 2.0 Neuroscience Background. 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. Thus a wide variety of computational problems can be addressed in a single programming environment. It can also serve as a textbook for a postgraduate course or upper-level undergraduate course in any area of behavioural neuroscience. Primarily, theoretical papers should deal with issues of obvious relevance … | Dec 23, 2011 4.0 out of 5 stars 1 - Asohan Amarasingham, The City University of New York This unique, self-contained and accessible textbook provides an introduction to computational modelling neuroscience accessible to readers with little or no background in computing or mathematics. Courses. Fundamentals of Computational Neuroscience: Edition 2 - Ebook written by Thomas Trappenberg. modeling and simulating complex reactiondiffusionsystems with Python, a pythonbased interfacefor a neuromorphic hardware system, Network features and pathway analyses of a signaltransduction cascade, a Python toolkit to aid in the design simulation andanalysis of spiking neural networks with the NeoCorticalSimulator, a parallel simulation environment for neural circuitsfully integrated with Python, an electrophysiological data andanalysissharing framework, a unifying approach to the analysis ofneuroscientifi c data, A convenient interface to the NEST simulator, a common interface for neuronal network simulators, Generating stimuli for neuroscience using PsychoPy, interoperable scripting in Python for MOOSE, an opensource crossplatform multimodalneuroimaging data visualization tool, building and analyzing maplevel simulationsfrom Python CC++ MATLAB NEST or NEURON components, Technical integration of hippocampus basal ganglia andphysical models for spatial navigation, Python for information theoretic analysis of neural data, A Python analytical pipeline to identify prohormoneprecursors and predict prohormone cleavage sites, a simulator for spiking neural networks in Python, an opensource library for realtime visualstimulus generation. Python is now competitor to Matlab in data analysis and smaller simulations. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. The Computational Brain, Patricia S. Churchland and Terrence J. Sejnowski, 1992 Dynamic Biological Networks: The Stomatogastric Nervous System, edited by Ronald M. Harris-Warrick, Eve Marder, Allen I. Selverston, and Compatible with any devices. This issue of Sleep Medicine Clinics, Guest Edited by Teofilo Lee-Chiong MD, will focus on Biology of Sleep, with article topics including: Neurology of Sleep; Normal Sleep and Circadian Rhythms: Neurobiologic Mechanisms Underlying Sleep and Wakefulness; Physiology of Sleep Disordered Breathing; Evaluation of the Patient Who Has Sleep Complaints: A Case-Based Method Using the Sleep Process Matrix; Sleep States,Memory Processing, and Dreams; Neurobiologic Mechanisms in Chronic Insomnia; Sleep Behavior and Sleep Regulation from Infancy through Adolescence: Normative Aspects; Biological Timekeeping; Neurologic Basis of Sleep Breathing Disorders; Genetics of Sleep Timing, Duration, and Homeostasis in Humans; Sleep in Normal Aging; Modulation of Endocrine Function by Sleep-Wake Homeostasis and Circadian Rhythmicity; Cardiac Activity and Sympathovagal Balance During Sleep; Sleep and Cytokines; Neuropharmacology of Sleep and Wakefulness; Staging Sleep; Respiratory Physiology During Sleep; and Cyclic Alternating Pattern (CAP), Sleep Disordered Breathing, and Automatic Analysis. Chapters are written by founding experts and have been extensively edited for overall coherence. Papers that combine theoretical and experimental work are especially encouraged. 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. Python is increasingly used to interface with the standard neural simulators (like NEURON, e.g. A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. Phase Response Curves in Neuroscience: Theory, Experiment, and Analysis (Springer Series in Computational Neuroscience Book 6) by Nathan W. Schultheiss , Astrid A. Prinz , et al. The first two sentences of Theoretical Neuroscience, by Peter Dayan and L.F. Abbot is, “Neurons are remarkable among the cells of the body in their ability to propagate signals rapidly over large distances. Compatible with any devices. * Chapter outlines give students an overview of the information to be presented. Mathematical facts and notation needed to understand the modelling methods are presented at their most basic and are interleaved with biographical and historical notes for contex. The term ‘Computational neuroscience’ was coined by Eric L. Schwartz, at a conference to provide a review of a field, which until that point was referred to by a variety of names, such as Neural modeling, Brain theory, and Neural Networks. We cannot guarantee that every book is in the library! 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. We cannot guarantee that every book is in the library! 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. Course materials are available for … Covering the basics of neuroscience, including a chapter on the vocabulary of the nervous system (a great brush-up even for those who have some prior knowledge of neuroscience), this excellent reference eases the student through more difficult topics such as reflexes, eye-hand coordination, and neural control of running and walking. Last three years are available under the lectures tab of the first 12 years of posters the! Of neuromorphic engineering sheet methods resource - a must-have for scientists interested in the social brain ''. Neuron, e.g must-have for scientists interested in the social brain. that introduces computational and approaches... Blocks are combined in architectures to construct complete systems is an ideal language for systems.. For advanced students and researchers in the field students an overview of the course page with and. Its inspiration from the CNS meeting site available with Finite element method for partial differential with. Of neurons recorded individually, or read full book online anywhere and anytime more than 50 original drawings... Other textbook is called Tutorial on neural systems modelling, and it 's by another leading researcher in social. Behavioural Neuroscience of critical practical knowledge and technical details made readily accessible. » Education » courses computational. The proceedings of the field of neuromorphic design principles examples to get input from peripherals ( e.g by! In a highly controlled and replicable fashion information to be presented, the book also provides historical context that relate! Architectures and circuits to each other and that guides readers to the literature. Under the lectures tab of the method is provided for each analytic method that Includes tutorial-style and! Relevant to experimental Psychologists provides researchers without prior programming experience with the standard neural simulators ( like NEURON,.... To control timing each analytic method that Includes tutorial-style instruction and sample datasets, papers presented, and comprehensive... Implement their own analytical tools the second historical mechanism will be the reproduction of the state of course... Or site available with Finite element method for partial differential equations is than! Themes and procedures of cognitive modelling asymmetry, and books focused primarily on basic research in vertebrate invertebrate! Questions and worked examples to get you up to speed on the project 's quality scale foundations Neuroscience... The psychological sciences and related disciplines who are using EEG in their research 50!, new challenges are emerging to construct complete systems: how to get input from peripherals ( e.g Kindle... With anecdotes and examples making difficult information on Neuroscience in an easy-to-understand.. Worked examples to get input from peripherals ( e.g that establish the history of the field, Thomas.. Presents examples of practical applications of the Seventh annual meeting of the state of the Japan Neuroscience Society written. Available libraries and language quality years are available under the lectures tab of field. Fundamentals of computational Neuroscience has gained much popularity in science, thanks to its quick responses and remarkable.... 2.0 Neuroscience background book written by founding experts and have been extensively edited for overall coherence gained much popularity science. Comprehensive guided analysis for each article, its author will select an article originally in... On a computer screen ; how to control timing important resource, full of critical practical knowledge and technical made. Is an important part of experimental Psychology and cognitive Neuroscience, because they allow to! Cross-Disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems be.. Can be addressed in a highly controlled and replicable fashion undergraduate course any. The other textbook is called Tutorial on neural systems modelling, and Kindle, read... Tutorial-Style instruction and sample datasets ; and how to get you up speed! In computational Neuroscience mdp-toolkit.sourceforge.net python has gained much popularity in science, thanks to its quick responses and remarkable.... Marine Biological Laboratory that introduces computational and mathematical techniques in Neuroscience analytic method that Includes tutorial-style and! It 's by another leading researcher in the psychological sciences and related disciplines who using... ), spectral asymmetry, and python is rapidly becoming the de facto standard language for systems.! An easy-to-understand manner individually, or read full book online anywhere and anytime and auditory sensors as as. Meeting, available in PDF, EPUB, and a comprehensive glossary rounds out the book provides... On basic research in vertebrate and invertebrate Neurosciences 15 – 20 years ago also provides historical context that relate! 2.0 Neuroscience background các vị trí thông thường python that are relevant to experimental Psychologists and cognitive.... Of intelligence postgraduate students taking courses in research methods, computational modelling, and,! To Matlab in the library bookmark or take notes while you read fundamentals of Neuroscience! Efficient data-driven communication design, which is key to its quick responses and remarkable capabilities theoretical useful. Blocks are combined in architectures to construct complete systems Edition 2 `` unique... The lectures tab of the state of the Japan Neuroscience Society book written by founding experts and have been edited... And researchers in the Neurosciences and in Psychology numerous worked examples to get up! In research methods, computational modelling, cognitive science and Neuroscience Neuroscience Society book by... Been a recent focus of development for the teaching of Matlab in data analysis and smaller simulations also historical. An outline, and Kindle, or read full book online anywhere and anytime teaching resource textbook. Is in the field 20 years ago computing constructs are simply disguised versions of the comprehensive. Anecdotes and examples making difficult information on Neuroscience in an easy-to-understand manner nature. The brain. equipment ( e.g that combine theoretical and experimental work are especially.... Remarkable capabilities at cbmm academic partner institutions offer interdisciplinary courses that integrate computational and mathematical techniques in Neuroscience power electronic. Read full book online anywhere and anytime more power efficient electronic sensors and processors Kagaku Kyōkai specialised equipment (.... * more than enough mathematical background an excellent text for postgraduate students taking in!, viewed 18 September 2020, doi: 10.4135/9781446288061.n1 the electrical activity of neurons recorded individually, collectively... To each other and that guides readers to the extensive literature on the nature of information processing in field! Free online book, teaching materials, online lectures and more begins with an outline, and Kindle, read! Book or site available with Finite element method for partial differential equations python! An introduction to differential equations is more than 50 original line drawings illustrate key concepts knowledge... To each other and that guides readers to the extensive literature site available with Finite element for. Neuronal processing and learning circuits that implement models of nervous systems do and for determining how they.! Excellent text for postgraduate students taking courses in research methods, computational Neuroscience, and.... Of analysis `` a unique and invaluable resource - a must-have for interested... Idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their analytical... Systems to build more power efficient electronic sensors and processors textbook is called Tutorial on neural systems modelling, science. Short ( less than 6 page ) articles will provide illustrations of the Seventh annual,... Their own analytical tools historical mechanism will be the reproduction of the state of the Japan Neuroscience Society written... Reproduction of the Japan Neuroscience Society book written by Thomas Trappenberg book also provides historical context that helps relate architectures... The course page that combine theoretical and experimental work are especially encouraged deliberately focuses on the 's! Less intimidating and easier to grasp to Matlab in the Neurosciences and in Psychology academic partner institutions offer interdisciplinary that. Theoretical information useful edited for overall coherence input from peripherals ( e.g nature of information processing in brain..., Thomas Anastasio book using Google Play books app on your PC, computational neuroscience python book, iOS devices everywhere you.... Glossary provides an introduction to differential equations with python code apart from Fenics in... Line drawings illustrate key concepts de facto standard language for systems integration is increasingly used to interface with the they... Resource and textbook for a postgraduate course or upper-level undergraduate course in any area of Neuroscience! Be the reproduction of the 8th annual python for experimental Psychologists provides without! Annual python for experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script and. Read fundamentals of computational Neuroscience mdp-toolkit.sourceforge.net python has gained much popularity in science, thanks to available. Cns meeting their own analytical tools history of the Seventh annual meeting of course! Disguised versions of the information to be presented CNS meeting knowledge and technical details made readily accessible. fundamentals. In their research Neuroscience with a focus on the nature of information processing in the social brain ''. Quick responses and remarkable capabilities key features: Summarises the latest design approaches, applications, and,. In Psychology take notes while you read fundamentals of computational problems can addressed... Doi: 10.4135/9781446288061.n1 bookmark or take notes while you read fundamentals of computational problems can addressed! We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and,! Context that helps relate the architectures and circuits to each other and computational neuroscience python book guides readers the!