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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Signal denoising through topographic modularity of neural circuits
Accepted manuscript, PDF only. Full online edition to follow. eLife's peer-review process is changing. In the new process, we will no longer make accept/reject decisions after peer review. Find out more. Share this article Cite this article Signal denoising through topographic modularity of neural circuits eLife 12:e77009.
Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning
New Results doi: https://doi.org/10.1101/2023.01.18.524604 Abstract To acquire statistical regularities from the world, the brain must reliably process, and learn from, spatio-temporally structured information. Although an increasing number of computational models have attempted to explain how such sequence learning may be implemented in the neural hardware, many remain limited in functionality or lack biophysical plausibility.
Trans-thalamic Pathways: Strong Candidates for Supporting Communication between Functionally Distinct Cortical Areas
Trans-thalamic Pathways: Strong Candidates for Supporting Communication between Functionally Distinct Cortical Areas Barna Zajzon, Aitor Morales-Gregorio Journal of Neuroscience 4 September 2019, 39 (36) 7034-7036; DOI: 10.1523/JNEUROSCI.0656-19.2019
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