From Neuron To Cognition Via Computational Neuroscience

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From Neuron to Cognition via Computational Neuroscience

Michael A. Arbib,James J. Bonaiuto
From Neuron to Cognition via Computational Neuroscience Book PDF

Author : Michael A. Arbib,James J. Bonaiuto
Publisher : MIT Press
Page : 808 pages
File Size : 50,5 Mb
Release : 2016-11-04
Category : Science
ISBN : 9780262335270

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From Neuron to Cognition via Computational Neuroscience by Michael A. Arbib,James J. Bonaiuto Pdf

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

An Introductory Course in Computational Neuroscience

Paul Miller
An Introductory Course in Computational Neuroscience Book PDF

Author : Paul Miller
Publisher : MIT Press
Page : 405 pages
File Size : 47,5 Mb
Release : 2018-10-02
Category : Science
ISBN : 9780262038256

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An Introductory Course in Computational Neuroscience by Paul Miller Pdf

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.

Biophysics of Computation

Christof Koch
Biophysics of Computation Book PDF

Author : Christof Koch
Publisher : Oxford University Press
Page : 587 pages
File Size : 45,9 Mb
Release : 2004-10-28
Category : Medical
ISBN : 9780195181999

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Biophysics of Computation by Christof Koch Pdf

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes.Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation.Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.

Neuronal Dynamics

Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Neuronal Dynamics Book PDF

Author : Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publisher : Cambridge University Press
Page : 591 pages
File Size : 44,5 Mb
Release : 2014-07-24
Category : Computers
ISBN : 9781107060838

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Neuronal Dynamics by Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski Pdf

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Computational Neuroscience: Theoretical Insights into Brain Function

Paul Cisek,Trevor Drew,John Kalaska
Computational Neuroscience Theoretical Insights into Brain Function Book PDF

Author : Paul Cisek,Trevor Drew,John Kalaska
Publisher : Elsevier
Page : 570 pages
File Size : 53,8 Mb
Release : 2007-11-14
Category : Science
ISBN : 0080555020

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Computational Neuroscience: Theoretical Insights into Brain Function by Paul Cisek,Trevor Drew,John Kalaska Pdf

Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function. • Includes contributions by some of the most influential people in the field of computational neuroscience • Demonstrates how computational approaches are being used today to interpret experimental data • Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning

The Neuron and the Mind

William R. Uttal
The Neuron and the Mind Book PDF

Author : William R. Uttal
Publisher : Routledge
Page : 221 pages
File Size : 46,9 Mb
Release : 2016-07-01
Category : Psychology
ISBN : 9781317208099

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The Neuron and the Mind by William R. Uttal Pdf

This book, a companion to William R. Uttal’s earlier work on macrotheories theories of mind-brain relationships, reviews another set of theories—those based on microneuronal measurements. Microneural theories maintain the integrity of individual neurons either in isolation or as participants in the great neuronal networks that make up the physical brain. Despite an almost universal acceptance by cognitive neuroscientists that the intangible mind must, in some way, be encoded by network states, Uttal shows that the problem of how the transformation occurs is not yet supported by empirical research findings at the micro as well as at the macro levels of analysis. Theories of the neuronal network survive more as metaphors than as robust explanations. This book also places special emphasis on the technological developments that stimulate these metaphors. A major conclusion drawn in this book is that it is not at all certain that the mind-brain problem is solvable in the sense that many other grand scientific problems are.

Introduction to Computational Neuroscience

Madison White
Introduction to Computational Neuroscience Book PDF

Author : Madison White
Publisher : Willford Press
Page : 250 pages
File Size : 51,5 Mb
Release : 2021-11-16
Category : Computers
ISBN : 164728029X

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Introduction to Computational Neuroscience by Madison White Pdf

The branch of neuroscience that uses theoretical analysis, mathematical models and abstractions of the brain for understanding the nervous system is known as computational neuroscience. It is involved in studying the development, structure, physiology and cognitive abilities of the nervous system. The models within this field seek to capture the essential features of the biological system at multi-spatial temporal scales. These models are used to develop hypotheses which can be tested through biological or psychological experiments. The major topics that are studied under computational neuroscience are single-neuron modeling, sensory processing, motor control, computational clinical neuroscience, cognition, discrimination and learning, memory, and synaptic plasticity. This book outlines the processes and applications of computational neuroscience in detail. The various studies that are constantly contributing towards advancing technologies and evolution of this field are examined in detail. This book will provide comprehensive knowledge to the readers.

Computational Modeling Methods for Neuroscientists

Erik De Schutter
Computational Modeling Methods for Neuroscientists Book PDF

Author : Erik De Schutter
Publisher : National Geographic Books
Page : 0 pages
File Size : 50,7 Mb
Release : 2009-09-04
Category : Medical
ISBN : 9780262013277

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Computational Modeling Methods for Neuroscientists by Erik De Schutter Pdf

A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks. This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A “how to” book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. It is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods, but it will also be useful for scientists with theoretical backgrounds who want to start using data-driven modeling methods. The mathematics needed are kept to an introductory level; the first chapter explains the mathematical methods the reader needs to master to understand the rest of the book. The chapters are written by scientists who have successfully integrated data-driven modeling with experimental work, so all of the material is accessible to experimentalists. The chapters offer comprehensive coverage with little overlap and extensive cross-references, moving from basic building blocks to more complex applications. Contributors Pablo Achard, Haroon Anwar, Upinder S. Bhalla, Michiel Berends, Nicolas Brunel, Ronald L. Calabrese, Brenda Claiborne, Hugo Cornelis, Erik De Schutter, Alain Destexhe, Bard Ermentrout, Kristen Harris, Sean Hill, John R. Huguenard, William R. Holmes, Gwen Jacobs, Gwendal LeMasson, Henry Markram, Reinoud Maex, Astrid A. Prinz, Imad Riachi, John Rinzel, Arnd Roth, Felix Schürmann, Werner Van Geit, Mark C. W. van Rossum, Stefan Wils

Fundamentals of Computational Neuroscience

Thomas Trappenberg
Fundamentals of Computational Neuroscience Book PDF

Author : Thomas Trappenberg
Publisher : Oxford University Press
Page : 411 pages
File Size : 41,6 Mb
Release : 2023-03-08
Category : Medical
ISBN : 9780192869364

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Fundamentals of Computational Neuroscience by Thomas Trappenberg Pdf

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. 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 network architectures 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 be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.

Principles of Computational Modelling in Neuroscience

David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Principles of Computational Modelling in Neuroscience Book PDF

Author : David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Publisher : Cambridge University Press
Page : 553 pages
File Size : 43,8 Mb
Release : 2023-10-05
Category : Science
ISBN : 9781108483148

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Principles of Computational Modelling in Neuroscience by David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw Pdf

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

When Brains Meet Buildings

Michael A. Arbib
When Brains Meet Buildings Book PDF

Author : Michael A. Arbib
Publisher : Oxford University Press
Page : 304 pages
File Size : 55,6 Mb
Release : 2021-08-11
Category : Medical
ISBN : 9780190060978

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When Brains Meet Buildings by Michael A. Arbib Pdf

After decades of research on minds and brains and a decade of conversations with architects, Michael Arbib presents When Brains Meet Buildings as an invitation to the science behind architecture, richly illustrated with buildings both famous and domestic. As he converses with the reader, he presents action-oriented perception, memory, and imagination as well as atmosphere, aesthetics, and emotion as keys to analyzing the experience and design of architecture. He also explores what it might mean for buildings to have "brains" and illuminates all this with an appreciation of the biological and cultural evolution that supports the diverse modes of human living that we know today. These conversations will not only raise the level of interaction between architecture and neuroscience but, by explaining the world of each group to the other, will also engage all readers who share a fascination with both the brains within them and the buildings around them. Michael Arbib is a pioneer in the interdisciplinary study of computers and brains and has long studied brain mechanisms underlying the visual control of action. His expertise makes him a unique authority on the intersection of architecture and neuroscience.

Fundamentals of Computational Neuroscience

Thomas Trappenberg
Fundamentals of Computational Neuroscience Book PDF

Author : Thomas Trappenberg
Publisher : Oxford University Press
Page : 417 pages
File Size : 55,7 Mb
Release : 2010
Category : Mathematics
ISBN : 9780199568413

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Fundamentals of Computational Neuroscience by Thomas Trappenberg Pdf

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 Explorations in Cognitive Neuroscience

Randall C. O'Reilly,Yuko Munakata
Computational Explorations in Cognitive Neuroscience Book PDF

Author : Randall C. O'Reilly,Yuko Munakata
Publisher : MIT Press
Page : 540 pages
File Size : 51,9 Mb
Release : 2000-08-28
Category : Medical
ISBN : 0262650541

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Computational Explorations in Cognitive Neuroscience by Randall C. O'Reilly,Yuko Munakata Pdf

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.

Computational Neuroscience of Cognition

Xiao-Jing Wang
Computational Neuroscience of Cognition Book PDF

Author : Xiao-Jing Wang
Publisher : Unknown
Page : 0 pages
File Size : 48,7 Mb
Release : 2023
Category : Cognitive neuroscience
ISBN : 026237515X

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Computational Neuroscience of Cognition by Xiao-Jing Wang Pdf

"A synthesis of neuroscience & cognitive science across multiple levels, grounded in experimental studies of basic cognitive functions, and with a focus on mathematical modeling of the brain"--

Cognitive and Computational Neuroscience

Seyyed Abed Hosseini
Cognitive and Computational Neuroscience Book PDF

Author : Seyyed Abed Hosseini
Publisher : BoD – Books on Demand
Page : 106 pages
File Size : 51,8 Mb
Release : 2018-05-30
Category : Medical
ISBN : 9781789231885

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Cognitive and Computational Neuroscience by Seyyed Abed Hosseini Pdf

The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.