#318 NeuroFedora reading/listening list
Opened 3 years ago by ankursinha. Modified 2 months ago

This ticket is meant for people to share intersting information on Neuroscience, such as podcasts or posts or even paper (however, please try and link to information that is simple enough for non-experts to understand).

Metadata Update from @ankursinha:
- Issue tagged with: S: Next meeting

3 years ago

A good review article on Optogenetics:

Frontiers | Light Up the Brain: The Application of Optogenetics in Cell-Type Specific Dissection of Mouse Brain Circuits | Frontiers in Neural Circuits

Not needed to read the whole thing in detail, but just a skim read will be enough to give some general knowledge of the technique and how it works.

Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody | Nature


SARS-CoV-2 is a newly emerged coronavirus responsible for the current COVID-19 pandemic that has resulted in more than 3.7 million infections and 260,000 deaths as of 6 May 20201,2. Vaccine and therapeutic discovery efforts are paramount to curb the pandemic spread of this zoonotic virus. The SARS-CoV-2 spike (S) glycoprotein promotes entry into host cells and is the main target of neutralizing antibodies. Here we describe multiple monoclonal antibodies targeting SARS-CoV-2 S identified from memory B cells of an individual who was infected with SARS-CoV in 2003. One antibody, named S309, potently neutralizes SARS-CoV-2 and SARS-CoV pseudoviruses as well as authentic SARS-CoV-2 by engaging the S receptor-binding domain. Using cryo-electron microscopy and binding assays, we show that S309 recognizes a glycan-containing epitope that is conserved within the sarbecovirus subgenus, without competing with receptor attachment. Antibody cocktails including S309 along with other antibodies identified here further enhanced SARS-CoV-2 neutralization and may limit the emergence of neutralization-escape mutants. These results pave the way for using S309- and S309-containing antibody cocktails for prophylaxis in individuals at high risk of exposure or as a post-exposure therapy to limit or treat severe disease.

Artificial Neural Networks for Neuroscientists: A Primer - ScienceDirect

Do let me know if you don't have access, and I can send the pdf to you.

Inference in artificial intelligence with deep optics and photonics | Nature

Looks like a good review worth skimming. Let me know if you don't have access.

March 2021: NeuroML hackathon at HARMONY 2021 — NeuroML Documentation

Registration is free.

Also this one, which is also free:

From the Human Brain Project: Training on Model Validation

[2010.13970] An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis

They cited NeuroFedora (which is how I ran into the article) :clap:

I saw it in the morning on Arxiv. :)

This looks useful for anyone looking to get a quick handle on neural networks:

@ankursinha Bringed this up in the meeting today: https://www.sciencenews.org/article/forest-trees-reduce-global-warming-climate-cooling-carbon

Forests help reduce global warming in more ways than one
There’s more to the effect than the capture of carbon dioxide alone"

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