@isabellehoxha
Postdoc in Cognitive and Computational Neuroscience at the University of Leiden, former postdoc at Ecole Normale Supérieure (Paris, France) and PhD student at Université Paris Saclay, interested in how we make decisions.
Peer review would be easier if we stopped treating it like combat with the authors. Results want to be free, and perfect is the enemy of good. Do the data support the conclusions? If so, that’s enough. A paper isn’t a blank slate for projecting your own ideas.
This is so cool! Thanks ✨️
A retired British primary school administrator with a British passport and a valid visa was shackled, chained and detained for six weeks by ICE
www.theguardian.com/us-news/2026...
the cutoff scores for #MSCA postdoc fellowships are very high this year. has the score distribution shifted compared to previous years? I made a plot with scores from past years.
if scores are at ceiling level, the process becomes essentially a lottery, because minor issues can lead to deductions.
neuroAI comparisons of ANNs to brains do have a range of problems. Even more than I had realized. And I was worried before: www.biorxiv.org/content/10.1...
Please keep it running until I get a position (this may or may not take a while 😂)
ELLIS Institute Finland @ellisinstitute.fi has open call for postdocs (DL Feb 9) www.ellisinstitute.fi/postdoc-recr...
There are 45 PIs to choose from, and you can apply to work also with me on computational Bayesian modeling and Bayesian workflow!
With some trepidation, I'm putting this out into the world:
gershmanlab.com/textbook.html
It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class.
My hope is that this will be a living document, continuously improved as I get feedback.
Proc B with @sampassmore.bsky.social! We used simulations to explore the innovation strategies of speed climbers 🧗♀️ Innovation is higher among slower athletes and lower when the population size is larger, and the overall balance of innovation and copying appears to be suboptimal 🔗 bit.ly/499QjZM
For aficionados of timing, prediction, psychophysics-and anyone who wants to look at something other than the news to be distracted-a new study by Matthias Grabenhorst and Georgios Michalareas:
The anticipation of imminent events is time-scale invariant
www.pnas.org/doi/epdf/10....
#neuroskyence
@anne-urai.bsky.social I don't know if you met Laura at CCN or NVP
Wrapping up and reflecting on the year with our lab: anneurai.net/2025/12/16/2...
🚨 New preprint 🚨
Analyzing the academic trajectories of 78,216 psychology researchers, we demonstrate a persistent gender attrition gap, with women psychologists dropping out of academia at consistently higher rates than men psychologists.
Preprint: arxiv.org/pdf/2510.13273
When change moves faster than systems can adapt, they tip
Our culture of “now-ism” risks pushing climate, economies and societies past their limits
The latest #ComplexityThoughts:
👉 manlius.substack.com/p/how-modern...
🎧 on Spotify and Apple
#ComplexSystems #Resilience
@ricardsole.bsky.social
Vous pouvez soutenir ma proposition à la Cour des Comptes d'examiner les marchés publics de voyagistes, notamment dans l'enseignement supérieur et la recherche :
participationcitoyenne.ccomptes.fr/processes/co...
#esr #TeamESR #HelpESR
👩🔬J'ai commencé un kit de démarrage "chercheuses en France" go.bsky.app/TBEzKC #FemmesEnScience
J'ai besoin de votre aide pour le remplir et donner de la visibilité aux chercheuses que vous connaissez et qui sont sur Bluesky !
▶️Taguez celles que vous connaissez, je les ajoute !
@carolinepioger.bsky.social @juliegrezes.bsky.social @tarrynbalsdon.bsky.social @charlottejacquemot.bsky.social
@romanececchi.bsky.social @maevalhotellier.bsky.social @mconstancecorsi.bsky.social @constancedestais.bsky.social @sophiebavard.bsky.social et moi
Une nouvelle limite planétaire a été franchie pour la première fois en 2025, révèle un rapport : l’acidification des océans.
Ce processus, directement lié à nos émissions de CO2, est délétère pour les écosystèmes marins.
Lire l'article ➡️ https://l.reporterre.net/0yt
It probably depends on the licence your papers are published under. In any case, you can argue that it is not a fair use (because commercial and you are not cited at all). You can check your rights here openpolicyfinder.jisc.ac.uk
We have many more cool results in the paper (such as transitions from volatile to stable environments and vice-versa) check it out! And huge thanks to co-authors Leo Sperber and @stepalminteri.bsky.social
TL;DR: positivity bias is more robust, choice history effects are environment-dependent. Both asymmetric update and choice history effects co-exist!
Okay but is there a versatile strategy that works across tasks? We simulated two mega tasks, one with all stable and another with all volatile environments. We observed that positivity bias emerged in both cases, but in the first environment we observed perseveration and in the second alternation.
The script flips in volatile environments: negativity bias progressively emerged as volatility increased. This time, we also observed a strong tendency for alternation, intensified as the reversal frequency increased. These results were consistent across all reversal probability distributions.
We found that in stable (no reversal) environments, positivity bias emerges every time but in rich environments, replicating the results by Cazé and Van der Meer. On the flip side, perseveration only emerged when long learning periods were involved
We used an evolutionnary algorithm to find the optimal set of parameters in each of these environments, evolving 1000 agents through 200 generations.
We ran simulations of 2-armed bandit tasks using a Q-learning model with both an asymmetric update rule and choice history bias. We tested out several difficulty levels, environment richness, learning periods, reversal frequency and probability distribution.
We knew empirically that people tended to repeat past choices, but the mechanism uderlying repetition remained debated: is it perseveration, a choice repetition effect, or positivity bias, an asymmetric learning of +/- rewards? Is it always the case, regardless of contingencies and task structure?
Ever wondered why you keep going to that restaurant with stale fries? Is it because you went often in the past (perseveration) or because you remember past good experiences better (positivity bias)? Our study out in PNAS investigates the normative basis for these biases www.pnas.org/doi/10.1073/...
