Laureline Logiaco
laurelinelogiaco.bsky.social
Laureline Logiaco
@laurelinelogiaco.bsky.social
Computational/theoretical neuroscientist; asst. prof. at CU Anschutz (July 2025): https://www.necolelab.com/members/laureline-logiaco.html

Particular interest in how mammalian brain regions specialize and synergize to generate hierarchical behaviors.
Pinned
Hello all! This looks like a nice place for scientific discourse, and I hope to see the community grow here. Looking forward to learning from bluesky members!
Reposted by Laureline Logiaco
🔥🔥🔥from @ulisespereirao.bsky.social ^^^
November 23, 2025 at 1:39 PM
Reposted by Laureline Logiaco
📍Excited to share that our paper was selected as a Spotlight at #NeurIPS2025!

arxiv.org/pdf/2410.03972

It started from a question I kept running into:

When do RNNs trained on the same task converge/diverge in their solutions?
🧵⬇️
November 24, 2025 at 4:43 PM
Reposted by Laureline Logiaco
Come check out my SFN nano talk @ 4:15 on Sunday, especially if you’re interested in:

- spicy debates in task switching
- using control theory to compare latent dynamical systems fit to RNNs and EEG

eppro02.ativ.me/appinfo.php?...

Stay for the whole ‘Adaptive Choice’ symposium!
Neuroscience 2025
eppro02.ativ.me
November 13, 2025 at 11:25 PM
Reposted by Laureline Logiaco
New pre-print from our lab, by Lakshmi Govindarajan with help from Sagarika Alavilli, introducing a new type of model for studying sensory uncertainty. www.biorxiv.org/content/10.1...
Here is a summary. (1/n)
Task-optimized models of sensory uncertainty reproduce human confidence judgments
Sensory input is often ambiguous, leading to uncertain interpretations of the external world. Estimates of perceptual uncertainty might be useful in guiding behavior, but it remains unclear whether hu...
www.biorxiv.org
November 9, 2025 at 9:34 PM
Reposted by Laureline Logiaco
I’m looking for interns to join our lab for a project on foundation models in neuroscience.

Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...).

Interested? See the details in the comments. (1/3)

🧠🤖
AI and Neuroscience | IVADO
ivado.ca
November 7, 2025 at 1:52 PM
Reposted by Laureline Logiaco
How does the brain find its way in realistic environments? 🧠 Using deep RL and neural data, we show that hippocampal-like networks support navigation, learning, and generalisation in partially observable environments—mirroring real animal behaviour. Now out:
www.nature.com/articles/s41...
#neuroAI
Hippocampus supports multi-task reinforcement learning under partial observability - Nature Communications
Neural mechanisms underlying reinforcement learning in naturalistic environments are not fully understood. Here authors show that reinforcement learning (RL) agents with hippocampal-like recurrence, u...
www.nature.com
November 3, 2025 at 10:20 AM
Reposted by Laureline Logiaco
🚨Pre-print alert! 🚨https://www.biorxiv.org/content/10.1101/2025.10.17.683171v1

Our new study tackles the question: do all neurons in motor cortices (MC) encode movement & coordinate as we move? Answering this question will be key for effectively targeting motor representations in BCIs.
The spatiotemporal structure of neural activity in motor cortex during reaching
Intracortical brain-computer interfaces (BCI) leverage knowledge about neural representations to translate movement-related neural activity into actions. BCI implants have targeted broad cortical regi...
www.biorxiv.org
October 20, 2025 at 6:54 PM
Reposted by Laureline Logiaco
New Pre-Print:
www.biorxiv.org/cgi/content/...

We’re all familiar with having to practice a new skill to get better at it, but what really happens during practice? The answer, I propose, is reinforcement learning - specifically policy-gradient reinforcement learning.

Overview 🧵 below...
Policy-Gradient Reinforcement Learning as a General Theory of Practice-Based Motor Skill Learning
Mastering any new skill requires extensive practice, but the computational principles underlying this learning are not clearly understood. Existing theories of motor learning can explain short-term ad...
www.biorxiv.org
October 20, 2025 at 2:58 PM
Reposted by Laureline Logiaco
Our department started a podcast to let people know about our research and the impact that it has on the public! Please have a listen and subscribe to the series! Also available on Apple podcast, Spotify, and Transistor, www.youtube.com/playlist?lis...
October 9, 2025 at 6:45 PM
Reposted by Laureline Logiaco
Please spread the word! I am recruiting a PhD student this cycle (Fall 2026 start) to join my team in a new venture: the neuroscience of mood.

If you are curious to learn more, this short talk provides a good overview of why, what and how.

www.youtube.com/watch?v=gjIK...
Nicole Rust - The representation of mood in the primate insula (May 6, 2025)
YouTube video by Simons Foundation
www.youtube.com
October 7, 2025 at 9:06 PM
Reposted by Laureline Logiaco
How do we facilitate working across institutions and borders to improve sensorimotor research and health?
Join us for an evening of discussing the future of technology and collaboration in sensorimotor neuroscience. Made possible by the DWIH, held at NYULH!

www.dwih-newyork.org/en/event/mot...
Motor Health: Transatlantic Cooperation Strategies and Tech Transfer in Sensorimotor Neuroscience | DWIH New York
www.dwih-newyork.org
October 7, 2025 at 12:08 AM
Reposted by Laureline Logiaco
The results challenge the texture-bias hypothesis of Geirhos et al. (2019).

This is one of those cases where a deep, careful review can add real value.

arxiv.org/abs/2509.20234

🧠🤖 #MLSky
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
The hypothesis that Convolutional Neural Networks (CNNs) are inherently texture-biased has shaped much of the discourse on feature use in deep learning. We revisit this hypothesis by examining limitat...
arxiv.org
October 6, 2025 at 4:23 PM
Reposted by Laureline Logiaco
October 3, 2025 at 10:03 AM
Reposted by Laureline Logiaco
Congrats @vulcnethologist.bsky.social on a great paper! This a cool technology that is the future of tracking motion within the body during behavior. @movementscience.bsky.social this might be what we need for tracking muscles and tendon during movement!
October 2, 2025 at 9:34 PM
Reposted by Laureline Logiaco
Did you know that facial expressions reveal more than meets the eye? 🤯

Our new study shows that even a mouse's face 🐭 can reflect hidden neural computations🧠. Turns out, facial expressions are more than just emotions!

We're so excited to see this paper out @natneuro.nature.com 🎉
🔗: rdcu.be/eIQzO
Facial expressions in mice reveal latent cognitive variables and their neural correlates
Nature Neuroscience - The face reveals more than just emotion. Cazettes, Reato and colleagues show that subtle facial movements reveal hidden cognitive states, reflecting the brain’s ongoing...
rdcu.be
September 30, 2025 at 11:30 AM
Reposted by Laureline Logiaco
The neural control & computation lab is recruiting!

If you're interested in using large-scale neural population recordings to study how the brain learns to produce complex and flexible behaviours, please get in touch.

www.ncclab.ca
October 1, 2025 at 11:23 PM
Reposted by Laureline Logiaco
My department at Emory is a hiring a tenure-track neuroscientist!

Anyone who's talked to me in the last 4 years knows I cannot say enough good things about my dept and the neuroscience community here. My colleagues are so wonderfully supportive. Postdocs, please apply!

apply.interfolio.com/174371
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
September 30, 2025 at 6:25 PM
Reposted by Laureline Logiaco
New paper! 🧠💤

www.nature.com/articles/s41...
Led by Pauline Dodet - @dreamteamicm.bsky.social

We show that #sleep stage mixing predicts poor prognosis in #Parkinson.

Stage mixing = intrusions of wake-like activity during sleep, and vice versa. Estimated with hypnodensities extracted from PSG.
Sleep stage mixing is associated with poor prognosis in early Parkinson’s disease - npj Parkinson's Disease
npj Parkinson's Disease - Sleep stage mixing is associated with poor prognosis in early Parkinson’s disease
www.nature.com
September 29, 2025 at 3:51 PM
Reposted by Laureline Logiaco
Come join our exciting new computational neuroscience groups! Fantastic people, cool mountains, and exciting science!
Interested in doing a Ph.D. to work on building models of the brain/behavior? Consider applying to graduate schools at CU Anschutz:
1. Neuroscience www.cuanschutz.edu/graduate-pro...
2. Bioengineering engineering.ucdenver.edu/bioengineeri...

You could work with several comp neuro PIs, including me.
September 27, 2025 at 9:31 PM
Interested in doing a Ph.D. to work on building models of the brain/behavior? Consider applying to graduate schools at CU Anschutz:
1. Neuroscience www.cuanschutz.edu/graduate-pro...
2. Bioengineering engineering.ucdenver.edu/bioengineeri...

You could work with several comp neuro PIs, including me.
September 27, 2025 at 8:30 PM
Reposted by Laureline Logiaco
👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human!

TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration.

www.biorxiv.org/content/10.1...
September 27, 2025 at 2:52 AM
Reposted by Laureline Logiaco
I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time!

www.biorxiv.org/content/10.1...
September 24, 2025 at 12:04 PM
Reposted by Laureline Logiaco
(edited repost) Thrilled to see our computational work on adaptive shaping of behavior (we call it outcome-based curriculum learning) in PLoS Comp Biol! @wl-tong.bsky.social, @gautamreddy.bsky.social & I formalize curricula in any RL task that can be framed as sequential simple-to-complex behavior.
Adaptive algorithms for shaping behavior
Author summary Animals are commonly trained by ‘shaping’ their behavior using a sequence of simpler tasks towards a complex behavior. Numerous schools of thought have proposed heuristics for shaping b...
journals.plos.org
September 19, 2025 at 5:30 PM