Terms like "encode", "representation" or "manifold" are used with different meanings, often blurring the original definitions.
This could be eased including a brief glossary section with operational definitions in papers, facilitating the communication and interpretation of scientific results.
Excited to share a new review by @kocherlab.bsky.social and me:
Nature-inspired neuroscience
We discuss diverse sensory systems and behaviors across the animal kingdom and argue for their integration into neuroscience. New tools in diverse systems are making this possible ✨
tinyurl.com/y5y9du27
Sadly, applications to the Advanced Python summer school have dropped significantly over the past 2 years.
Plus, there'll be no external funding for the 1st time in *17 years*.
Likely all because of GenAI - but programming skills still matter🔥
Deadline May 3, please help by sharing:
aspp.school
OPEN POSTDOC position (part of @erc.europa.eu Consolidator DYNALANG)
We build math&comp models of neural dynamics using insights from formal linguistics + ML
Seeking theory-driven researchers w/ interests in language, neural dynamics, & math/comp neuroscience.
Apply here: tinyurl.com/55exdpse
Wanna do neuroscience in Paris but can't find interesting lab?
Want to come do a sabbatical but don't know who to collaborate?
Check this webpage aggregating ~all the neuroscience labs (+200) in Paris.
⚠️only the information of 'verified' profiles is reliable⚠️
Please retweet 🙏
parisneuro.fr
Looking forward to 45' with no distractions to fully enjoy @thedearhunter.bsky.social 's new album
Let me post a spicy take here: most people don't read or cite other model organisms' work. Because of this, they keep rediscovering things and, most importantly, re-writing the timeline in favor of fewer and fewer models. That, plus an artificial limit of citations per paper equals this 🧪
Science is about building and exploring new theories.
We train people because they will be the future builders of theories that expand our knowledge, not because they are contingent labor.
www.science.org/content/arti...
Wtf
Science is about building and exploring new theories.
We train people because they will be the future builders of theories that will expand our knowledge, not because they are contingent labor.
www.science.org/content/arti...
"I got my PhD by writing prompts instead of doing research, I'm winning"
got some bad news, there still no jobs and now you also know nothing
Mildly hot take: Not enough studies address neural dynamics from the perspective of the oscillatory properties of population firing rates
I tracked every keyword in 22 years of Cosyne abstracts to map how computational neuroscience evolved — from Bayesian brains to neural manifolds to LLMs — and where it's heading next.
Next week I'll attend #Systems-in-Action, at @neuroalc.bsky.social!
Tired of just talking about glutamate and GABA?
I will present my work on how the combination of neuromodulators shapes circuit activity and how biophysical models can explain their mechanisms of action and computational effects.
Evolutionarily conserved neural dynamics across mice, monkeys, and humans www.biorxiv.org/content/10.64898/2026.03...
Pepper update: Multiple varieties have germinated!
I’m building a foundational reading list for our lab (systems & circuit neuroscience, compneuro, modeling, neuromodulators, population coding etc.).
I’d like to crowdsource recommendations.
Which review(s) would you consider mandatory reading for the next generation of researchers?
It is at the data and hypothesis levels that preregistration and similar methods attempt to constrain science to avoid QRPs (e.g., Flis, 2019; Szollosi et al., 2019). To ensure scientific quality, however, we propose that preregistration is not enough because it serves only to constrain the data and hypothesis spaces. Researchers who wish to develop their formal account of a capacity must ascend the path instead of, or in addition to, for example, preregistering analysis plans. Preregistration cannot on its own evaluate theories. We cannot coherently describe and thus cannot sensibly preregister what we do not yet (formally and computationally) understand. Indeed, theories can and should be computationally embodied and pitted against each other without gathering or analyzing any new data. To develop, evaluate, and stress-test theories, we need theory-level constraints on and discussions about our science. Figure 2 can serve as a first step in the right direction toward such an ideal.
“To develop, evaluate, and stress-test theories, we need theory-level constraints on and discussions about our science.”
By @olivia.science & @andreaeyleen.bsky.social (2021): doi.org/10.1177/1745...
It's Saturday noon. I have no results for my Monday progress report, two liters of coffee and a great Spotify math-rock playlist...
I played around with building a bluesky labeler for neuroscience methods. subscribe to: neuromethods.bsky.social and like the corresponding post to have a shiny methods label appear in your profile.
Toward the end of his two-volume Treatise on the Venom of the Viper, published in 1781, the Tuscan naturalist Deluxe Fontana declared: "I have made more than 6000 experiments; I have had more than 4000 animals bit; I have employed upwards of 3000 vipers and may have been deceived; some essential circumstance may have escaped me: I may have neglected some other, not thinking it necessary; my consequences may have been too general, my experiments too few in number. In a word, I may very easily have been mistaken, and it would be almost impossible that I should never have been so in a matter so difficult, so obscure, and likewise so new."
Fontana thinking his 6000+ experiments may not have been enough to feel confident in his conclusions in the 18th century while we expect our singular experiments and their standalone replications to do wonders some 250 years later... (excerpt from the intro of Jutta Schickore's About Experiment)
Ironically or home in Paris has more sunlight that the ones where we used to live in Alicante, so let's see how it goes this time
Celebrating the MSCA fellowship with a small homemade feast: ginger ribs, niratama, chinese style potato salad and grilled kushinsai
The angle of the dipole obviously matters. If active dipoles in two conditions are slightly misaligned, a difference can be observed. However, this difference is not driven by differences in amplitudes, but only by differences in orientations. Here, I simulated such a scenario.
#brainmovies
With this one in print, I think I finally earned that PhD... 😅
Presented for the first time at the cosyne when the world ended (March 2020). I'll bring over a summary thread from twitter when it was still twitter...
www.sciencedirect.com/science/arti...
Can anyone point me to works showing the evolution of monoaminergic signaling across the phylogenetic tree?
Or how the molecules/peptides activating GPCRs may have changed in time?
An ancient monoaminergic signaling system coordinates contractility in a nerveless sponge www.biorxiv.org/content/10.64898/2026.02...
𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗴𝗿𝗼𝘄𝘁𝗵
Beyond Kuhn and Feyerbend.
Still in chapter 2 but this looks great.
