Dear all,
We are excited to announce an upcoming Research Topic, jointly within Frontiers in Neuroinformatics and Frontiers in Computational Neuroscience, on “Neuroinformatics of Large-Scale Brain Modelling”.
This Research Topic will document the various ways in which neuroinformatics approaches are being applied in large-scale brain modelling, informing readers on both established practices and emerging techniques. We seek Original Research, Review, Mini-Review, Hypothesis and Theory, Perspective, and Opinion articles that cover, but are not limited to, the following topics:
Ontologies, systems, and tools for definition and specification of large-scale neural models
New approaches to parameter optimization, parameter space exploration, and systematic tracking of simulation behaviour across parameter combinations
Informing neural models with genetic and multi-omic data from large-scale databases and individual patients/subjects
Systematic computational modelling studies on large numbers of subjects, and/or using large-scale open-access datasets (HCP, ABCD, etc.)
‘Hybrid’ modelling schemes that combine mean-field with spiking network models
‘Hybrid’ approaches to defining connectivity in large-scale brain models (e.g. supplementing tractography with microscopy data for higher-resolution subcortical connectivity structure)
Simulations using high-resolution neuroanatomical data from initiatives such as BigBrain, Allen Institute, etc.
‘High-density’ (large number of regions; small parcels) connectome-based neural mass modelling
Other neuroinformatics challenges and solutions in large-scale brain simulations
Comparisons between detailed spiking/morphological simulations and neural mass model simulations
Comparisons between models based on high-resolution and low-resolution Allen atlas connectivities
Full details can be found on the research topic webpage at: www.frontiersin.org/research-topics/16641/neuroinformatics-of-large-scale-brain-modelling
If you are considering submitting, please submit an abstract by Fri 26 Feb 2021. Deadline for submission of full manuscripts is Fri 30th July 2021.
We look forward to your hearing from you and sharing this exciting work with the community.
Your Research Topic co-editors,
John Griffiths
Padraig Gleeson
Kelly Shen
Dr. John D. Griffiths
Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto
Assistant Professor @ Department of Psychiatry & Institute of Medical Sciences, University of Toronto
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Frontiers in Neuroinformatics
& Frontiers in Computational Neuroscience
joint Research Topic:
“Neuroinformatics of Large-Scale Brain Modelling”
Eds. John Griffiths, Kelly Shen, Padraig Gleeson
Now accepting submissions!
Abstract deadline 26 Feb 2021. Manuscript deadline 30 July 2021.
See topic page here for more info