Manuel Molano-Mazón
@molanomazon.bsky.social
130 followers 360 following 10 posts
Neuroscientist. I work at the Universitat Politècnica de Catalunya (Barcelona). I like RNNs, decision making, sequential biases, evolution.
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Reposted by Manuel Molano-Mazón
nisheet.bsky.social
@cogcompneuro.bsky.social :
CCN 2025 App is Live! 🎉

beta.axy-app.com/ccn2025

Your attendees can now swipe through personalized recommendations 🧠, search naturally 🔍, and connect with their poster buddies 👭

Thanks for letting us support the #CCN2025 community!
Reposted by Manuel Molano-Mazón
alexhyafil.bsky.social
Our Barcelona-based summer school, BAMB! (bambschool.org) just opened applications! Come join us: 15-24th July, to learn how to model behavioral data using RL, Bayesian, latent variable models, RNNs, DDMs & more! #BAMB2025
BAMB!
Course philosophy Our goal is​ to teach advanced techniques in model-based analysis of behavior (humans and other animals) to cognitive and computational neuroscientists at PhD and early career levels...
bambschool.org
molanomazon.bsky.social
9/ And all the data is here:
osf.io/794vk/
Please let us know if you have any questions/comments!
molanomazon.bsky.social
8/ You can find our code here:
github.com/alexgarciadu...
@alexgaduca.bsky.social also created great notebooks to help you fit our model to your data (choices, reaction time and motor time)!
molanomazon.bsky.social
7/ Our model explains rat and human behavior well, but it raises questions: Could there be more than one update per trajectory—or even continuous updating? 🤔
molanomazon.bsky.social
6/ Our model proposes two readouts of the decision variable: the first launches the trajectory, while the second adjusts it—speeding it up, slowing it down, or reversing it. Decision-making unfolds in real-time!
molanomazon.bsky.social
5/ We tested humans in a similar task and found strikingly similar behaviors! This inspired us to build a model linking decision evidence accumulation with response execution, helping us understand how decisions dynamically shape movements.
molanomazon.bsky.social
4/ 🔄 Sometimes rats changed their mind while responding. These trajectory reversals were seen more often when the stimulus strongly contradicted the initial path set by prior expectations, showing how flexibly the brain adjusts on the fly.
molanomazon.bsky.social
3/ The prior set the trajectory from the start, but the stimulus only impacted movement after it began. It could accelerate or slow motion, depending on whether it aligns or contradicts it. Stimulus influence kicked in as early as 100ms after stimulus onset! ⏱️
molanomazon.bsky.social
2/ 🐀 We tracked rats’ movements as they chose between two options using auditory stimuli and prior expectations. Movement speed scaled with how much prior/stimulus aligned with their choice—a fascinating link between cognitive variables and motor vigor rarely explored!
molanomazon.bsky.social
1/ We explored what rat and human movements during decision-making reveal about brain computations 🧠