logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Stochastic Methods in Neuroscience by Carlo Laing, Gabriel J. Lord ISBN 9780199235070, 0199235074

  • SKU: EBN-1308150
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

15 reviews
Instant download (eBook) Stochastic Methods in Neuroscience after payment.
Authors:Carlo Laing, Gabriel J. Lord
Pages:399 pages.
Year:2009
Editon:1
Publisher:Oxford University Press, USA
Language:english
File Size:17.29 MB
Format:pdf
ISBNS:9780199235070, 0199235074
Categories: Ebooks

Product desciption

(Ebook) Stochastic Methods in Neuroscience by Carlo Laing, Gabriel J. Lord ISBN 9780199235070, 0199235074

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products