Literature DB >> 27810006

High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination.

Kristofer E Bouchard1, James B Aimone2, Miyoung Chun3, Thomas Dean4, Michael Denker5, Markus Diesmann6, David D Donofrio7, Loren M Frank8, Narayanan Kasthuri9, Chirstof Koch10, Oliver Ruebel7, Horst D Simon11, Friedrich T Sommer12.   

Abstract

Opportunities offered by new neuro-technologies are threatened by lack of coherent plans to analyze, manage, and understand the data. High-performance computing will allow exploratory analysis of massive datasets stored in standardized formats, hosted in open repositories, and integrated with simulations. Published by Elsevier Inc.

Mesh：

Year:  2016        PMID： 27810006     DOI： 10.1016/j.neuron.2016.10.035

Source DB:  PubMed          Journal:  Neuron        ISSN： 0896-6273            Impact factor:   17.173


  10 in total

1.  We Must Invest in Applied Knowledge of Computational Neurosciences and Neuroinformatics as an Important Future in Malaysia: The Malaysian Brain Mapping Project.

Authors:  Putra Sumari; Zamzuri Idris; Jafri Malin Abdullah
Journal:  Malays J Med Sci       Date:  2017-02-24

2.  CellExplorer: A framework for visualizing and characterizing single neurons.

Authors:  Peter C Petersen; Joshua H Siegle; Nicholas A Steinmetz; Sara Mahallati; György Buzsáki
Journal:  Neuron       Date:  2021-09-29       Impact factor: 17.173

3.  The Neurodata Without Borders ecosystem for neurophysiological data science.

Authors:  Oliver Rübel; Andrew Tritt; Ryan Ly; Benjamin K Dichter; Satrajit Ghosh; Lawrence Niu; Pamela Baker; Ivan Soltesz; Lydia Ng; Karel Svoboda; Loren Frank; Kristofer E Bouchard
Journal:  Elife       Date:  2022-10-04       Impact factor: 8.713

4.  Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability.

Authors:  Tiina Manninen; Riikka Havela; Marja-Leena Linne
Journal:  Front Neuroinform       Date:  2017-02-21       Impact factor: 4.081

5.  NeuroChaT: A toolbox to analyse the dynamics of neuronal encoding in freely-behaving rodents in vivo.

Authors:  Md Nurul Islam; Seán K Martin; John P Aggleton; Shane M O'Mara
Journal:  Wellcome Open Res       Date:  2019-12-09

6.  Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits.

Authors:  Kael Dai; Sergey L Gratiy; Yazan N Billeh; Richard Xu; Binghuang Cai; Nicholas Cain; Atle E Rimehaug; Alexander J Stasik; Gaute T Einevoll; Stefan Mihalas; Christof Koch; Anton Arkhipov
Journal:  PLoS Comput Biol       Date:  2020-11-30       Impact factor: 4.475

7.  Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.

Authors:  Alexander Ladd; Kyung Geun Kim; Jan Balewski; Kristofer Bouchard; Roy Ben-Shalom
Journal:  Front Neuroinform       Date:  2022-06-17       Impact factor: 3.739

8.  Arkheia: Data Management and Communication for Open Computational Neuroscience.

Authors:  Ján Antolík; Andrew P Davison
Journal:  Front Neuroinform       Date:  2018-03-05       Impact factor: 4.081

9.  Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures.

Authors:  Tiina Manninen; Jugoslava Aćimović; Riikka Havela; Heidi Teppola; Marja-Leena Linne
Journal:  Front Neuroinform       Date:  2018-05-01       Impact factor: 4.081

10.  The SONATA data format for efficient description of large-scale network models.

Authors:  Kael Dai; Juan Hernando; Yazan N Billeh; Sergey L Gratiy; Judit Planas; Andrew P Davison; Salvador Dura-Bernal; Padraig Gleeson; Adrien Devresse; Benjamin K Dichter; Michael Gevaert; James G King; Werner A H Van Geit; Arseny V Povolotsky; Eilif Muller; Jean-Denis Courcol; Anton Arkhipov
Journal:  PLoS Comput Biol       Date:  2020-02-24       Impact factor: 4.475
  10 in total

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