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<p><b style="font-weight:normal;" id="docs-internal-guid-c1933415-7fff-039c-bfc7-b1301c86e191"> </b>Dear
all, <br>
<br>
We are happy to inform you that we have extended the deadline for
submissions to the 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. <br>
<br>
We seek <b>Original Research, Review, Mini-Review, Hypothesis and
Theory, Perspective, and Opinion articles</b> that cover, but
are not limited to, the following topics:<br>
</p>
<ul>
<li>New, biologically constrained, large-scale brain models and
modelling methodologies</li>
<li>New approaches to parameter optimization, parameter space
exploration, and systematic tracking of simulation behaviour
across parameter combinations</li>
<li>Informing neural models with genetic and multi-omic data from
large-scale databases and individual patients/subjects</li>
<li>Systematic computational modelling studies on large numbers of
subjects, and/or using large-scale open-access datasets (HCP,
ABCD, etc.)</li>
<li>‘Hybrid’ modelling schemes that combine mean-field with
spiking network models</li>
<li>‘Hybrid’ approaches to defining connectivity in large-scale
brain models (e.g. supplementing tractography with microscopy
data for higher-resolution subcortical connectivity structure)</li>
<li>Simulations using high-resolution neuroanatomical data from
initiatives such as BigBrain, Allen Institute, etc. </li>
<li>‘High-density’ (large number of regions; small parcels)
connectome-based neural mass modelling</li>
<li>Ontologies, systems, and tools for definition and
specification of large-scale neural models</li>
<li>Comparisons between detailed spiking/morphological simulations
and neural mass model simulations</li>
<li>Comparisons between models based on high-resolution and
low-resolution Allen atlas connectivities</li>
<li>Other neuroinformatics challenges and solutions in large-scale
brain simulations</li>
</ul>
<p>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>1st
Sept 2021</b>. Deadline for submission of full manuscripts is <b>15th
Dec 2021</b>. <br>
<br>
We look forward to 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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