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ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing.
Aleksin, Sergey G; Zheng, Kaiyu; Rusakov, Dmitri A; Savtchenko, Leonid P.
Affiliation
  • Aleksin SG; AMC Bridge LLC, Waltham MA, United States of America and Dnipro, Ukraine.
  • Zheng K; UCL Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
  • Rusakov DA; UCL Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
  • Savtchenko LP; UCL Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
PLoS Comput Biol ; 13(3): e1005467, 2017 03.
Article in En | MEDLINE | ID: mdl-28362877
Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handling of which requires specific programing skills. Here we put forward a newly developed simulation environment ARACHNE: it enables an investigator to build and explore cellular networks of arbitrary biophysical and architectural complexity using the logic of NEURON and a simple interface on a local computer or a mobile device. The interface can control, through the internet, an optimized computational kernel installed on a remote computer cluster. ARACHNE can combine neuronal (wired) and astroglial (extracellular volume-transmission driven) network types and adopt realistic cell models from the NEURON library. The program and documentation (current version) are available at GitHub repository https://github.com/LeonidSavtchenko/Arachne under the MIT License (MIT).
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Neural Networks, Computer / Models, Neurological / Nerve Net Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: Ucrania Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Neural Networks, Computer / Models, Neurological / Nerve Net Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: Ucrania Country of publication: Estados Unidos