<div dir="ltr"><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Dear all,</span><span style="font-family:Arial,sans-serif"><br>
<br>
<span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">we are inviting Manuscript submissions for a special <span class="gmail-il">topic</span> in <span class="gmail-il">Frontiers</span> in Neuroscience,  entitled “<b>Machine learning in
Neuroscience</b>”. The deadline for submitting full papers will be August
15.  More details can be found at</span> </span><span style="font-family:Arial,sans-serif"><a href="https://www.frontiersin.org/research-topics/9012/machine-learning-in-neuroscience" style="color:blue">https://www.frontiersin.org/research-topics/9012/machine-learning-in-neuroscience</a><br>
<br>
</span></p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif">About
this research topic:</span></p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif">In
recent years, machine learning and artificial intelligence algorithms have been
utilized in solving many fascinating problems in different fields of science,
including neuroscience. In this Research Topic, we are seeking to bring
together researchers from machine learning and computational neuroscience and
to stimulate collaboration between researchers in these fields. More
specifically, this collection of articles is intended to cover recent
directions and activities in the field of machine learning, especially the
recent paradigm of deep learning, in neuroscience dedicated to analysis,
diagnosis, and modeling of the neural mechanisms of brain functions.</span></p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif">We
welcome submissions of original research papers from systems/cognitive and
computational neuroscience, to neuroimaging and neural signal processing.
Original research and reviews, as well as theoretical work, methods, and
modeling articles are welcomed. The research work includes experimental studies
using state-of-the-art in electrophysiology and neuroimaging as well as
experimentally-based computational or theoretical work and biologically
inspired neural networks.</span></p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif"> </span></p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif">Reza
Lashgari, Ph.D</span></p><p style="margin:0in 0in 0.0001pt">











</p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif">Associate
Editor</span></p><div style="font-size:12.8px"><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Arial,sans-serif">Email: <a href="mailto:rezalashgari@ipm.ir">rezalashgari@ipm.ir</a></span></p>

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