@jbarbosa.org
INSERM group leader @ Neuromodulation Institute and NeuroSpin (Paris) in computational neuroscience. How and why are computations enabling cognition distributed across the brain? Expect neuroscience and ML content. jbarbosa.org
Once you get past the first 5 minutes of me bumbling around clearly in need of media training, we settle into a nice groove talking about fitting mechanistic models, ML/AI for neuroscience, underconstrainedness vs. degeneracy, and its potential benefits for biology (plus some good chuckles).
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.
Math metal from the 80s? Now i want to hear it!
Neurons around a recording ephys electrode
Diagram of monkey looking at a screen in a neuroscience experiment
Spike rasters for two units in response to a checkerboard shown in the screen. One is an ON neuron, the other is an OFF neuron
Waveforms of single neurons within a single ephys electrode sorted using K-means clustering.
Just uploaded some of my *hand-crafted* comp-neuro teaching materials, thought they might be useful to someone out there.
It's just some exercise notebooks for data analysis github.com/morales-greg...
Going to #COSYNE2026? Don't miss our tutorial on our open neural dynamics data resources.
🗓️ March 12, 9:15-10:15am
🧑🏫 Presented by @sejdevries.bsky.social
🔗 More info: https://www.cosyne.org/tutorials
@cosynemeeting.bsky.social
This Thursday (March 5th), we're hosting Changsong Zhou, but mind the time shift (from our usual 15:00 UTC to 14:00). Here's the registration link + more information about the talk:
cam-ac-uk.zoom.us/meeting/regi...
AI is rapidly changing how we write code — but how should we use it in research?
To kick off our 2026 “How-To” we welcome Russ Poldrack (@russpoldrack.org; Stanford University):
🧠 Better Code, Better Science
📅 22 April 2026
🔗 Register: forms.gle/WRUdGQEpd5is...
#OHBM #OpenScience
in my decision making class I run a version of The Endowment Effect that goes like this:
When students come in, sealed envelopes are waiting on their chair-arms.
The main slide that greets them says 'NO TOUCHING'
These reviews on neural manifolds are super relevant to today’s world of large-scale population recordings. How do we link circuits, population geometry, dynamics, and function?
“A neural manifold view of the brain” from Perich, Narain, and Gallego 2025
www.nature.com/articles/s41...
(1/2)
Of course! I put Fig 5 in many of my talks, posters (sometimes forgetting to cite you as you know 🫣) and even grant proposals!
I hope you're doing well, too
Agreed! It's really embarrassing. I think it's OK – even unavoidable – to use AI to bounce ideas, but in the end we must own our writings or we should stop writing at all.
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?
"Principles of Corticocortical Communication: Proposed Schemes and Design Considerations" A Kohn et al
....
"Neural Mechanisms That Make Perceptual Decisions Flexible" by @gouki-okazawa.bsky.social ocial and @roozbehkiani.bsky.social sky.social
And some less recent that really changed my thinking during my PhD:
"Dimensionality reduction for large-scale neural recordings" by JP Cunningham & B. Yu
3/4
"Attractor and integrator networks in the brain" by M. Khona & I. Fiete
"A unifying perspective on neural manifolds and circuits for cognition" by @cmlangdon.bsky.social, M Genkin & @engeltatiana.bsky.social
2/4
From the top of my head, here some recent ones:
"Two views on the cognitive brain" by @johnwkrakauer.bsky.social, @dlbarack.bsky.social
"Reconstructing computational system dynamics from neural data with recurrent neural networks" by @durstewitzlab.bsky.social et al
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Episode #38 in #TheoreticalNeurosciencePodcast: On extracting spiking network models from experiments - with Richard Gao @rdgao.bsky.social
theoreticalneuroscience.no/thn38
How to fit spiking network models to experimental data when there is no unique parameter set giving the best fit.
We have PhD positions and Post Doc positions available! www.med.uio.no/imb/english/... Please apply if you are interested in human invasive intracranial recordings or applied machine learning in a neuroscientific context.
Deadlines 1st of March (Sunday!) and 4th of March.
Please RT!
The number of Americans living in Norway is overtaking the number of Norwegians living in the US.
New paper on a long-shot I've been obsessed with for a year:
How much are AI reasoning gains confounded by expanding the training corpus 10000x? How much LLM performance is down to "shallow" generalisation (approximate pattern-matching to highly-related training data)?
t.co/CH2vP0Y7OF
Mission: record hippocampal place cells in zero gravity
Crew: 3 rats with electrode arrays
Vehicle: Space Shuttle Columbia
Status: data now publicly available on DANDI, 28 years later
The ratstronauts' mission is finally complete. 🐀🚀 h/t NASA
about.dandiarchive.org/blog/2026/02...
Excited to share our new paper in @pnas.org with @bnmorillon.bsky.social &
@valentinwyart.bsky.social www.pnas.org/doi/10.1073/...
We study three core inference systems, and how their interaction shapes human learning and decision-making.
The richest man owns X.
The second and third richest men control Google.
The fourth richest man owns Facebook, Instagram, and WhatsApp.
The fifth richest man owns The Washington Post.
And now the sixth richest could soon take over both Paramount and Warner Bros.
See the problem here?
How can we build better experiment-theory collaborations in neuroscience?
We're hosting a series of 6 in-person, interactive workshops to discuss this.
Come along!
www.eventbrite.co.uk/e/understand...
🚨🚨 We are hiring a Postdoc at CIMCYC – University of Granada (Spain) 🚨🚨
2 year position in Neuroscience of Human Experience
Building new ways to study lived experience as it unfolds in time and maps onto brain, body and behavior
Please share‼️
Please repost: Applications for the CSHA Computational and Cognitive Neuroscience Summer School are open! Join us this summer in Suzhou for a fantastic and unique experience. Deadline April 1st: ccnss.net
Más plazas de Ayudante Doctor en la Universidad de Granada, en este caso en el Campus de Ceuta. Desde nuestro Campus se ve la playa y además damos la bienvenida yéndonos de tapas. No sé, piénsalo.
serviciopdi.ugr.es/contratado/c...
One interesting AI-driven change to the SWE/DS job market is that in the olde days (6 mo ago) it was a truth universally acknowledged that it's better to work in a product company, developing a good software tool, than be in a company that makes shoes, or sells veggies, or builds cars or whatevs
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#hiring
Come work with us to better understand the neuronal mechanism underlying perceptual consciousness!
18 months postdoctoral position at INSERM in Grenoble, France.
⌛Application deadline 10 March 2026.
euraxess.ec.europa.eu/jobs/408445
Participation ratio!
