2 edition of **Mathematical neurobiology** found in the catalog.

Mathematical neurobiology

John Stanley Griffith

- 128 Want to read
- 2 Currently reading

Published
**1971**
by Academic Press in London
.

Written in English

- Human information processing,
- Nervous system -- Mathematical models

**Edition Notes**

Bibliography: p. 148-157.

The Physical Object | |
---|---|

Pagination | ix, 161 p. illus. ; |

Number of Pages | 161 |

ID Numbers | |

Open Library | OL20023997M |

These lectures will largely be devoted to the study of mathematical problems originating in the work of A. L. Hodgkin and A. F. Huxley, who, in , proposed a set of partial differential equations to describe the transmission of an electrical impulse by a nerve axon [2], [3].Cited by: 1. This volume contains lectures presented at the 15th annual meeting on mathematical biology, organized by a joint AMS-SIAM committee, as part of the mathematical activities at the annual AAAS meeting, held January 7, , in Washington, D.C. The meeting was devoted to neurobiology, and was very ably organized by Robert M. Miura.

A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the : Jürgen Jost. The Institute of Mathematical Problems of Biology RAS (Russian: Институт математических проблем биологии) is a research institute specializing in computational biology and objective of the institute is elaboration of mathematical and computational methods for biological research, as well as implementation of these methods directly Affiliations: Russian Academy of Sciences.

Introduction to Theoretical Neurobiology. Volume 1: Linear Cable Theory and Dendritic Structure Henry C. Tuckwell; and develops mathematical theories for the way neurons respond to the various stimuli they receive. Volume 1 contains descriptions and analyses of the principal mathematical models that have been developed for neurons in the Cited by: springer, Mathematical models can be used to meet many of the challenges and opportunities offered by modern biology. The description of biological phenomena requires a range of mathematical theories. This is the case particularly for the emerging field of systems biology. Mathematical Methods in Biology and Neurobiology introduces and develops these .

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: Mathematical neurobiology: An introduction to the mathematics of the nervous system (): Griffith, J. S: BooksCited by: 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.

The title of the book is "Mathematical foundations of Neuroscience", and it has almost all the mathematical techniques used in Neuroscience with good examples. The book is good to have as a reference to applications of mathematics in Neuroscience but not as a learning guide for mathematics involved (I would really not suggest it).Cited by: Mathematical Methods in Biology and Neurobiology introduces and develops these mathematical structures and methods in a systematic manner.

It studies: Written by one of the most experienced and successful authors of advanced mathematical textbooks, this book stands apart for the wide range of mathematical tools that are featured. It will be Brand: Springer-Verlag London. It seems that neurobiology has not yet identiﬁed such a fundamental concept, but perhaps the spike can be considered as the basic event of information transmission, and the synapse as the basic structure supporting this.

A classiﬁcation of mathematical methods 1. Discrete structures → Algebra (a) Static structures i. The description of biological phenomena requires a range of mathematical theories. This is the case particularly for the emerging field of systems biology. Mathematical Methods in Biology and Neurobiology introduces and develops these mathematical structures and methods in a systematic manner.

It studies. Mathematical Neurobiology by John Stanley Griffith and a great selection of related books, art and collectibles available now at - Mathematical Neurobiology: an Introduction to the Mathematics of the Nervous System by Griffith, J S - AbeBooks.

textbooks on mathematical or theoretical neuroscience were available. Wilson’s book covers similar material to our chapterswith more examples, and emphasizes nonlinear dynamical models of the type introduced in chapter 2.

Dayan and Abbott cover a. ISBN: OCLC Number: Notes: "Proceedings of the Symposium Some Mathematical Questions in Biology held at the annual meeting of the American Association for the Advancement of Science in Washington, D.C., January 7, sponsored by the National Science Foundation"--Title page verso.

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.

In theory, computational. The description of biological phenomena requires a range of mathematical theories. This is the case particularly for the emerging field of systems biology.

Mathematical Methods in Biology and Neurobiology introduces and develops these mathematical structures and methods in a systematic manner. It studies:Pages: Additional Physical Format: Online version: Griffith, J.S. (John Stanley).

Mathematical neurobiology. London, New York, Academic Press, (OCoLC) The Journal of Mathematical Neuroscience (JMN) publishes research articles on the mathematical modeling and analysis of all areas of neuroscience, i.e., the study of the nervous system and its dysfunctions.

The focus is on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviours in neuroscience.

This book is ideal for someone with some mathematical expertise who wishes to put it to use at the current boundaries of biological exploration.” (Jeff Ibbotson, MAA Reviews, January, ) “This is a very good discussion of the mathematical modeling of genetics, populational theory, and neurosciences.

Author: Jürgen Jost. An introduction to the computational biology of reaching and pointing, with an emphasis on motor learning. Neuroscience involves the study of the nervous system, and its topics range from genetics to inferential reasoning. At its heart, however, lies a search for understanding how the environment affects the nervous system and how the nervous system, in turn, empowers us to.

Publishing is our business. Read Free Content. Coronavirus. Springer Nature is committed to supporting the global response to emerging outbreaks by enabling fast and direct access to the latest available research, evidence, and data. This book is ideal for someone with some mathematical expertise who wishes to put it to use at the current boundaries of biological exploration.

The reader must have some background in ordinary and partial differential equations as well as combinatorial graph theory and linear algebra to make sense of the rapid-fire derivations (even though the.

Mathematical neuroscience: from neurons to circuits to systems Boris Gutkin, David Pinto *, Bard Ermentrout Division of Biology and Medicine, Department of Neuroscience, Brown University, Providence, RI, USA Abstract Applications of mathematics and computational techniques to our understanding of neuronal systems are ion.

MATHEMATICAL NEUROBIOLOGY. Reviewed by T. Roberts. Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (K), or click on a page image below to browse page by page. Mathematical Modeling and Simulation in Enteric Neurobiology is an interdisciplinary book and is an essential source of information for biologists and doctors who are interested in knowing about the role and advantages of numerical experimentation in their subjects, as well as for mathematicians who are interested in exploring new areas of.

Computational Neuroscience: Mathematical and Statistical Perspectives Robert E. Kass1, Shun-ichi Amari2, Kensuke often leaned heavily on mathematical and statistical ideas. These ideas are varied, but a more closely related to neurobiology, Size: 1MB.Deep Learning: mathematics and neuroscience By Tomaso Poggio Ap Science and Engineering of Intelligence The problems of Intelligence are, together, the greatest problem in science and technology today.

Making significant progress towards their solution will require theFile Size: 1MB.This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts/5(29).