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  Open-Source Software for Studying Neural Codes

Ince, R. (2013). Open-Source Software for Studying Neural Codes. In R. Quian Quiroga, & S. Panzeri (Eds.), Principles of Neural Coding (pp. 597-606). Boca Raton, FL, USA: CRC Press.

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externe Referenz:
https://arxiv.org/abs/1207.5933 (beliebiger Volltext)
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Urheber

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 Urheber:
Ince, RAA1, 2, Autor           
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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Schlagwörter: -
 Zusammenfassung: In this chapter we first outline some of the popular computing environments used for analysing neural data, followed by a brief discussion of 'software carpentry', basic tools and skills from software engineering that can be of great use to computational scientists. We then introduce the concept of open-source software and explain some of its potential benefits for the academic community before giving a brief directory of some freely available open source software packages that address various aspects of the study of neural codes. While there are many commercial offerings that provide similar functionality, we concentrate here on open source packages, which in addition to being available free of charge, also have the source code available for study and modification.

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 Datum: 2013
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: -
 Art des Abschluß: -

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Quelle 1

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Titel: Principles of Neural Coding
Genre der Quelle: Buch
 Urheber:
Quian Quiroga, R, Herausgeber
Panzeri, S, Herausgeber           
Affiliations:
-
Ort, Verlag, Ausgabe: Boca Raton, FL, USA : CRC Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 597 - 606 Identifikator: ISBN: 978-1-4398-5330-6