I have just returned from ARCHES, a small European conference in audiology. The organizing comittee (which my team is part of) follows a set of self-imposed ruled which I think should be a model for other international scientific meetings: (1/7)

paper 143
considers 6 different ways to justify sample size and explains in detail how studies can be uniformative if you don't give much thought to your study's N (which is common in our field, I'd say).

Very much worth reading even if you feel you already "know everything" about power.

took me more than 1 daily reading slot.

online.ucpress.edu/collabra/ar

@oneabstractaday

A key thing I've learned about Mastodon: When you find people you know and want to keep up with, don't just follow them — add them to a list!

Merely following is not enough, b/c their posts may not show up in your feed at a time you're logged on. Unlike FB or Twitter, Mastodon has no algorithm to resurface your friends' posts from hours or days ago.

So create a list called "Friends" and check it when you're on. This will ensure that you see what they posted while you were away.

Hi everyone, this is my #introduction! I'm a computer science prof leading the SFU Rosie Lab, building robots with social intelligence and empathy.

I've lived in Japan for 6 years, France for 5 years, and am back in my hometown of Vancouver, Canada. I value inclusion and diversity. My family is from the Philippines 🇵🇭!

I like cross-pollinating ideas between #AI #machinelearning, #neuroscience, #psychology, and #HCI / #HRI.

rosielab.ca

I'm a research psychologist and neuroscientist. I also compose and perform experimental music.

My past work has shown why music and movement are connected:

1. pnas.org/doi/10.1073/pnas.1209
2. royalsocietypublishing.org/doi
3. cell.com/current-biology/pdfEx

And how consensus-building conversation aligns our brains: psyarxiv.com/562z7

Now I'm working on conversation and social networks at Stanford with Jamil Zaki and writing a paper about why compositional generalization is hard with Josh Greene.

my Likert scale:

⭐️⭐️⭐️⭐️⭐️: lovert
⭐️⭐️⭐️⭐️: likert
⭐️⭐️⭐️: whatevert
⭐️⭐️: dislikert
⭐️: hatert

A new paper building on Wong et al (2022) again shows that the misuse of Bayes factors is prevalent, and as far as I can see *massively* higher than the misuse of frequentist p-values: psyarxiv.com/du3fc/. Really appreciate these proponents of Bayes factors taking such a critical look at how Bayes factors are used. I think Bayes factors will soon join p-rep and 'the new statistics' as a failed alternative to p-values. 1/2

What math do neuroscientists need to know?

A highlight of #SFN2022 was Ella Batty's answer to this question. She showed off an incredible math for neuroscientists course she has developed at Harvard with open materials (ebatty.github.io/MathToolsforN) and discussed her amazing work with Neuromatch Academy (compneuro.neuromatch.io/)

Her SFN slides are here: osf.io/s94b2

#Neuroscience #GradSchool #Math

Hello ! As seems to be the tradition, here is my
I am a French researcher working on , , and (mostly). I write scientific articles in English (dbao.leo-varnet.fr/publication) and blog posts in French (dbao.leo-varnet.fr/) so I'm always confused about which language I should use on social media...
Happy to start my by connecting with academics and people interested in science here!

Hi! #Introduction

I'm a medical doctor and PhD student. I've done research in fluid therapy during surgery with a focus on physiology and waveforms.

Generally I'm interested in statistics, programming (#Rstats and #Julialang), data visualization, #OpenScience and #opensource.

Two papers I'm proud of:
- Exposing a major bias/error in a commercial medical prediction algorithm: doi.org/10.1097/ALN.0000000000
- Using GAMS to analyze medical time series and waveforms: doi.org/10.1007/s10877-022-008

This literature clock is the most wonderful thing I’ve seen in a long time. Checking the time becomes a moment of pure joy 😍

literature-clock.jenevoldsen.c

#Introduction. I'm a neurotechnologist and neuroscientist at Imperial College London (where I am Professor of Neurotechnology in the Dept of Bioengineering). My research focuses on understanding the neural coding of memory, and how it is impaired in memory disorders. Towards these goals I also develop new tools for neuroscience (multiphoton, data analysis, mouse behaviour etc). Outside science I'm into cycling (particularly gravel). #neuroscience #neurotechnology

Mieux vaut tard que jamais en guise d'#introduction
je suis enseignant-chercheur en philosophie des techniques. Mes étudiant.e.s sont élèves-ingénieurs. De la philo pour ingénieurs (?!?), c'est le très chouette modèle des Universités de Technologie.
Ça a changé mes recherches. J'ai fait ma thèse sur la notion d'information dans la cybernétique américaine, puis j'ai bossé sur les jeux vidéo avec des recherches centrées sur l'expérience de la machine informatique. Plus récemment, je réfléchis aux apports de la notion de milieux pour la conception.

Kudos to all #Mastodon #admin #instance. It is a lot of work and responsabilities to run a server. And they have certainly extra work with #twitterMigration

Cost, Update, backup, rules, crash, moderation, sensitive content, security, monitoring report of users, etc....


Hi all!
I am an engineer and software developer focused on tools for research, especially for extracellular . Core developer of @spikeinterface.

Currently working with the Allen Institute of Neural Dynamics to build efficient and automated pipelines for large-scale ephys analysis. Also working part-time with CatlystNeuro, helping labs to adopt open-source and standard solutions for analysis and data storage.
I'm also interested in biophysical , , and approaches to probe neural activity.

Lastly, they were able to parse out artifacts from slow respiration-related rsfMRI as being distinct from the respiration-related neural network.

⭐ Together, this study confirms the neural underpinning of a phase-locking relationship between breathing and gamma-band power in the ACC— more evidence that breathing is likely linked to respiration-entrained brain-wide neural oscillations. 🔥

👉 Neural underpinning of a respiration-associated resting-state fMRI network doi.org/10.7554/eLife.81555

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I'm excited to re-announce my preprint to new followers. In this piece, I scrutinize the field of cognitive neuroscience in its quest to find neural mechanisms of cognition.

Old readers, I uploaded a new version which briefly covers dynamical system approaches.

Check it out while it's looking for a home -- I'm always happy to hear folks thoughts: psyarxiv.com/9fr2d

#neuroscience #cogsci #philosophy

RT @AssafOshri
Once upon a time, a group of researchers established a set of theories by which the amygdala was "the brain's fear center", and psychopathy….

The Amygdala and The Nine Circles of Scientific Hell sciencedirect.com/science/arti

RT @pskatz@twitter.com

There seems to be an increasing use of the justification for a paper being "little is known". Here is the appearance of this phrase in PubMed. It looks like we know less as time progresses. Little is known about why this trend has developed.

🐦🔗: twitter.com/pskatz/status/1592

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