[Comp-neuro] Special Research topic in Frontiers of Neuroscience: “Symmetry as a Guiding Principle in Understanding Neural Information Processing.”

[Benedetta Franceschiello]

*S**pecial Research topic in Frontiers of Neuroscience. Guest editors: T.
Poggio (MIT),F. Anselmi (BCM), A. Patel (BCM), A. Tacchetti (Deep mind)*


*Title:  *“Symmetry as a Guiding Principle in Understanding Neural
Information Processing.”


Researchers are invited to submit papers for this special edition.

For more information, or to submit a manuscript, please visit URL:

https://www.frontiersin.org/research-topics/15343/symmetry-as-a-guiding-principle-in-understanding-neural-information-processing



Submission deadline: April 13, 2021



The aim of this Research Topic is to cover promising, recent, and novel
research trends regarding on the role of symmetry in shaping the learning/
information processing and neuronal organization in the brain, within a
theoretical and computational perspective.


Areas to be covered in this Research Topic may include, but are not limited
to:

   - New architectures beyond convolutional networks: biologically
   plausible sensory representations that are simultaneously selective for
   object identity and invariant to nuisance variation (including but not
   limited to group transformations, beyond translations) in mammalian cortex.
   - Sample complexity and invariant representations: is the brain using
   symmetries to perform efficient computation?
   - Variants of common plasticity rules or new class of rules that
   incorporate sensory data symmetries: how can the brain discover data
   symmetries and learn to represent sensory input in an invariant way?
   - Role of time continuity, crucial in the sensory experience, in
   defining classes of symmetries (implicit unsupervised labelling

For questions, please contact Prof. Fabio Anselmi via email:
Fabio.Anselmi at bcm.edu
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.tnb.ua.ac.be/pipermail/comp-neuro/attachments/20201116/499286a1/attachment.html>