MATLAB for Neuroscientists - An Introduction to Scientific Computing in Matlab.pdf

MATLAB for Neuroscientists - An Introduction to Scientific Computing in Matlab

Pascal Wallisch

Date de parution

MIT 9.17: Systems Neuroscience Laboratory. Section 7. ... Indeed, most scientific research involves first thinking about and planning ... GOAL: The goal of Matlab Project 0 is to give you an introduction to Matlab basics. We have ... Matlab is more than a programming language; it is a computing "environment" (formally termed.

6.97 MB Taille du fichier
9780123838360 ISBN
MATLAB for Neuroscientists - An Introduction to Scientific Computing in Matlab.pdf


PC et Mac

Lisez l'eBook immédiatement après l'avoir téléchargé via "Lire maintenant" dans votre navigateur ou avec le logiciel de lecture gratuit Adobe Digital Editions.

iOS & Android

Pour tablettes et smartphones: notre application de lecture tolino gratuite

eBook Reader

Téléchargez l'eBook directement sur le lecteur dans la boutique ou transférez-le avec le logiciel gratuit Sony READER FOR PC / Mac ou Adobe Digital Editions.


Après la synchronisation automatique, ouvrez le livre électronique sur le lecteur ou transférez-le manuellement sur votre appareil tolino à l'aide du logiciel gratuit Adobe Digital Editions.

Notes actuelles

Sofya Voigtuh

MATLAB for Neuroscientists: An Introduction to …

Mattio Müllers

MATLAB for Neuroscientists. An Introduction to …

Noels Schulzen

MATLAB for neuroscientists: an introduction to …

Jason Leghmann

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more

Jessica Kolhmann

Matlab for Neuroscientists does a good job of this. The authors have selected methods that are commonly used in computational neuroscience, emphasizing ones that tend to be difficult to implement. The result is a book that could save you a great deal of time if you analyze systems neuroscience data. The book is also quite instructive on its own; the computational principles are presented