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).
I'll start:
Metadata Update from @ankursinha: - Issue tagged with: S: Next meeting
Listened to this today:
Ever wondered how the brain re-wires itself when cut in half?
Discover Magazine article on it
Dopamine fasting: an expert reviews the latest craze in Silicon Valley - worth it? is it backed by science? Read to find out!
Not sure if this belongs on this post, since it is an event, but I just came across this event in NY:
https://www.eventbrite.com/e/columbia-workshop-on-brain-circuits-memory-and-computation-2020-bcmc-2020-tickets-76701306673
The SONATA data format for efficient description of large-scale network models
Allen Institute announces new phase of neuroscience research
The Neuroscientist, A Field Guide - The Spike - Medium
To cook a perfect steak, use math | Science News
This is an excellent introduction to analysing fMRI data with SPM:
https://andysbrainbook.readthedocs.io/en/latest/SPM/SPM_Overview.html
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.
Better together: Elements of successful scientific software development in a distributed collaborative community
A quick, short read:
How Do Films Like ‘Joker’ Shape Attitudes Towards People With Mental Health Issues? – Research Digest
These 6 books explore climate change science and solutions | Science News
Blind people can ‘see’ letters traced directly onto their brains | Science News
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.
2-Minute Neuroscience: Deep Brain Stimulation — Neuroscientifically Challenged
This is very relevant:
Open Neuroscience
This is a good overview of the predictive coding hypothesis:
To Make Sense of the Present, Brains May Predict the Future | Quanta Magazine
A few more:
Racial and ethnic imbalance in neuroscience reference lists and intersections with gender | bioRxiv
Thread by @florian_krammer on Thread Reader App – Thread Reader App
People Use Jargon To Make Up For Their Low Standing In A Group – Research Digest
If deep learning is the answer, what is the question? | Nature Reviews Neuroscience
2019: a lightly bamboozled review of the year in neuroscience | by Mark Humphries | The Spike | Medium
Two super quick reads:
Ten simple rules for writing Dockerfiles for reproducible data science
Ten simple rules for writing a paper about scientific software
Worth reading the abstract for this one:
For €9500, Nature journals will now make your paper free to read | Science | AAAS
Is the staggeringly profitable business of scientific publishing bad for science? | Science | The Guardian
Two on scientific publishing: researchers to the science, write the papers, review the work, but publishers make the money.
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.
OSF | Guidelines Toward Inclusive Practices in Academics by eLife Community Ambassadors
The Democratization of Neuroscience
(we're already on Open Neuroscience: https://open-neuroscience.com/post/neurofedora/ )
Strongly recommended! From the Allen Institute:
Open for (neuro)science: Pre-symposium tutorials
For folks interested in the Cerebellum:
Cerebellar Modules and Their Role as Operational Cerebellar Processing Units | SpringerLink
From the INCF:
New publication in Neuroinformatics by members of the INCF community! | INCF
The Neurocritic: Overview of 'The Spike': an epic journey through failure, darkness, meaning, and spontaneity
The book is here:
The Spike | Princeton University Press
The blog is here:
The Spike – Medium
Lots new today. Here are two on the Cerebellum:
Part I: The Complex Spikes as One of the Cerebellar Secrets | SpringerLink
Part II. J. C. Eccles, R. Llinas and K. Sasaki, The Excitatory Synaptic Action of Climbing Fibres on the Purkinje Cells of the Cerebellum, J Physiol, 182: 268-296, 1966: the Rise of the Complex Spike | SpringerLink
This looks like a great conference:
NeuroFemIndia 2021 – BiasWatchIndia
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
Ten simple rules for quick and dirty scientific programming
Extremely interesting contribution:
The carbon impact of artificial intelligence
[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:
[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. :)
Something for researchers: An open source machine learning framework for efficient and transparent systematic reviews
One from the Fedora programme manager:
Balancing incoming tasks in volunteer projects – Blog FiascoBlog Fiasco
Webcast: How to do a great peer review
Some fun:
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience: Neuron
We all should probably read this one: Producing Open Source Software
10+ years of Brainhack: an open, inclusive culture for neuro tool developers at all levels – Malins blogg.
Promoting integrity in scholarly research and its publication | COPE: Committee on Publication Ethics
Some bookmarks I keep:
and I ran into this recently:
Responses to 10 common criticisms of anti-racism action in STEMM
Ten simple rules for attending your first conference: for research conferences, but also applies to others
Ten simple rules to improve academic work–life balance
Drowning in the literature? These smart software tools can help
The big question
Q&A: The brain under a mesoscope: the forest and the trees | BMC Biology | Full Text
Also, the annual COMBINE meeting is coming up, and registration is free:
Tools | Combine: Coordinating standards for modeling in Biology
This looks useful for anyone looking to get a quick handle on neural networks:
2021: the review of the year in neuroscience | by Mark Humphries | The Spike | Dec, 2021 | Medium
Nonsense correlations in neuroscience | bioRxiv
@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"
Some interesting ones:
this one is also a very good read: Tackling Climate Change with Machine Learning
A 471-day COVID-19 case reveals how the coronavirus mutates | Science News
@viveks shared this one:
Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease | Nature Human Behaviour
I found a few:
Olfactory dysfunction in COVID-19: new insights into the underlying mechanisms: Trends in Neurosciences
^ of general interest
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