000 02255naaaa2200361uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/57391
005 20220220080743.0
020 _a978-2-88919-608-1
020 _a9782889196081
024 7 _a10.3389/978-2-88919-608-1
_cdoi
041 0 _aEnglish
042 _adc
100 1 _aMarc-Oliver Gewaltig
_4auth
700 1 _aEilif Muller
_4auth
700 1 _aAndrew P. Davison
_4auth
700 1 _aMichael Hines
_4auth
700 1 _aJames A. Bednar
_4auth
700 1 _aMarkus Diesmann
_4auth
245 1 0 _aPython in Neuroscience
260 _bFrontiers Media SA
_c2015
300 _a1 electronic resource (273 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aPython is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
653 _aSoftware Development
653 _ascientific computing
653 _acollaboration
653 _apython language
653 _ainteroperability
856 4 0 _awww.oapen.org
_uhttp://journal.frontiersin.org/researchtopic/8/python-in-neuroscience
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/57391
_70
_zDOAB: description of the publication
999 _c75063
_d75063