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<p>Dear all, <br>
<br>
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”. <br>
<br>
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:<br>
<br>
- Ontologies, systems, and tools for definition and specification
of large-scale neural models<br>
- New approaches to parameter optimization, parameter space
exploration, and systematic tracking of simulation behaviour
across parameter combinations<br>
- Informing neural models with genetic and multi-omic data from
large-scale databases and individual patients/subjects<br>
- Systematic computational modelling studies on large numbers of
subjects, and/or using large-scale open-access datasets (HCP,
ABCD, etc.)<br>
- ‘Hybrid’ modelling schemes that combine mean-field with spiking
network models<br>
- ‘Hybrid’ approaches to defining connectivity in large-scale
brain models (e.g. supplementing tractography with microscopy data
for higher-resolution subcortical connectivity structure)<br>
- Simulations using high-resolution neuroanatomical data from
initiatives such as BigBrain, Allen Institute, etc. <br>
- ‘High-density’ (large number of regions; small parcels)
connectome-based neural mass modelling<br>
- Other neuroinformatics challenges and solutions in large-scale
brain simulations<br>
- Comparisons between detailed spiking/morphological simulations
and neural mass model simulations<br>
- Comparisons between models based on high-resolution and
low-resolution Allen atlas connectivities<br>
<br>
Full details can be found on the research topic webpage at: <a class="moz-txt-link-abbreviated" href="http://www.frontiersin.org/research-topics/16641/neuroinformatics-of-large-scale-brain-modelling">www.frontiersin.org/research-topics/16641/neuroinformatics-of-large-scale-brain-modelling</a>
<br>
<br>
If you are considering submitting, please submit an abstract by <b>Fri
26 Feb 2021</b>. Deadline for submission of full manuscripts is
<b>Fri 30th July 2021</b>. <br>
<br>
We look forward to your hearing from you and sharing this exciting
work with the community. <br>
<br>
Your Research Topic co-editors, <br>
<br>
John Griffiths<br>
Padraig Gleeson<br>
Kelly Shen<br>
<br>
</p>
<pre class="moz-signature" cols="72">--
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Padraig Gleeson
Room 321, Anatomy Building
Department of Neuroscience, Physiology& Pharmacology
University College London
Gower Street
London WC1E 6BT
United Kingdom
+44 207 679 3214
<a class="moz-txt-link-abbreviated" href="mailto:p.gleeson@ucl.ac.uk">p.gleeson@ucl.ac.uk</a>
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