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Laureline Logiaco

@laurelinelogiaco.bsky.social
1.8K followers 1.3K following 25 posts

Computational/theoretical neuroscientist; asst. prof. at CU Anschutz (July 2025): www.necolelab.com/members/laureline… Particular interest in how mammalian brain regions specialize and synergize to generate hierarchical behaviors.

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Reposted by Laureline Logiaco
teissa.bsky.social @teissa.bsky.social · 02/10/2026
Interested in a PhD in Computational Neuroscience? The University of Colorado Anschutz has THREE great pathways! We have a thriving comp neuro community here with faculty including @laurelinelogiaco.bsky.social, Chris Cueva, and myself! #ComputationalNeuroscience #PhDLife #CUAnschutz
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Victor Geadah @vgeadah.bsky.social · 18/12/2025
In a system subject to unobserved control, can you infer both the underlying dynamics and the control objective? 🤔 A year ago, I was presenting our work at IEEE CDC on solving this problem for stochastic LQR. arxiv.org/abs/2502.15014 Short 🧵 on the results, and how I think about them a year later.
A neural population of dynamics x_t, the "system", is subject to control via inputs u_t. These inputs may come from the population itself or some other unobserved system. We only get partial observations y_t of the system in x_t, in the form of neural recordings.
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Harrison Ritz @hritz.bsky.social · 18/12/2025
We took a stab at how to infer both the dynamics and control parameters of partially-observable systems. It’s a nasty problem, but @vgeadah.bsky.social made tremendous progress, ending up with some really elegant formalisms.
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Juan Gallego @juangallego.bsky.social · 10/12/2025
Super happy for having been awarded an @erc.europa.eu Consolidator Grant to continue our basic neuroscience work on the neural basis for motor control and motor learning. What a great way to set things up here at Champalimaud! 🎉 🚨 Job Alert for postdocs research technicians, and PhD students in 🧵
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Serge Ahmed @sergeahmed.bsky.social · 04/12/2025
A vigorous negative finding Subsecond dopamine transients in the striatum of mice are neither required nor sufficient for specifying the vigor of ongoing forelimb movements www.nature.com/articles/s41...
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bohlen.bsky.social @bohlen.bsky.social · 30/11/2025
For the oculomotor nerds out there… we’re excited to share our paired papers on precerebellar circuitry! These two studies look at how internuclear pathways talk to the cerebellum and what that means for eye movement control. 👀🧠 #neuroskyence #science
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Dan Levenstein @dlevenstein.bsky.social · 23/11/2025
🔥🔥🔥from @ulisespereirao.bsky.social ^^^
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Ann Huang @annhuang42.bsky.social · 24/11/2025
📍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? 🧵⬇️
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Harrison Ritz @hritz.bsky.social · 13/11/2025
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!
eppro02.ativ.me
Neuroscience 2025
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Josh McDermott @joshhmcdermott.bsky.social · 09/11/2025
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)
biorxiv.org
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...
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Shahab Bakhtiari @shahabbakht.bsky.social · 07/11/2025
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) 🧠🤖
ivado.ca
AI and Neuroscience | IVADO
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Rui Ponte Costa @somnirons.bsky.social · 03/11/2025
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
nature.com
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...
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Jonathan A. Michaels @jonathanamichaels.bsky.social · 29/10/2025
Thrilled that our paper is out today in Nature! www.nature.com/articles/s4...
nature.com
Sensory expectations shape neural population dynamics in motor circuits
Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...
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Amy Orsborn @neuroamyo.bsky.social · 20/10/2025
🚨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.
biorxiv.org
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...
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Adrian Haith @adrianhaith.bsky.social · 20/10/2025
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...
biorxiv.org
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...
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Lena Ting @lenating.bsky.social · 09/10/2025
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...
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Nicole Rust @nicolecrust.bsky.social · 07/10/2025
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...
youtube.com
Nicole Rust - The representation of mood in the primate insula (May 6, 2025)
YouTube video by Simons Foundation
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Alice Mosberger @alicemosberger.bsky.social · 07/10/2025
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...
dwih-newyork.org
Motor Health: Transatlantic Cooperation Strategies and Tech Transfer in Sensorimotor Neuroscience | DWIH New York
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Shahab Bakhtiari @shahabbakht.bsky.social · 06/10/2025
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
arxiv.org
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...
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Paul Gribble 🇨🇦 @gribblelab.org · 03/10/2025
This week's sensorimotor superlab reading list is out superlab.ca/posts/2025-10-03-list30… @andpru.bsky.social @diedrichsenjorn.bsky.social @gribblelab.org #neuroskyence #psychscisky #Sensorimotor
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Reza Shadmehr @rezashadmehr.bsky.social · 03/10/2025
Tenure-track faculty position in motor neuroscience at Penn State. psu.wd1.myworkdayjobs.com/PSU_Academic...
psu.wd1.myworkdayjobs.com
Open-Rank Faculty Position in Sensorimotor Control and Rehabilitation Neuroscience
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, a...
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Lena Ting @lenating.bsky.social · 02/10/2025
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!
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Fanny Cazettes @fannycazettes.bsky.social · 30/09/2025
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
rdcu.be
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...
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Jonathan A. Michaels @jonathanamichaels.bsky.social · 02/10/2025
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
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Anita Devineni @anitadevineni.bsky.social · 30/09/2025
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.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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Thomas Andrillon @thomasandrillon.bsky.social · 29/09/2025
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.
nature.com
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
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teissa.bsky.social @teissa.bsky.social · 27/09/2025
Come join our exciting new computational neuroscience groups! Fantastic people, cool mountains, and exciting science!
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Laureline Logiaco @laurelinelogiaco.bsky.social · 27/09/2025
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.
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Michael Beyeler @mbeyeler.bsky.social · 27/09/2025
👁️🧠 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...
Diagram showing three ways to control brain activity with a visual prosthesis. The goal is to match a desired pattern of brain responses. One method uses a simple one-to-one mapping, another uses an inverse neural network, and a third uses gradient optimization. Each method produces a stimulation pattern, which is tested in both computer simulations and in the brain of a blind participant with an implant. The figure shows that the neural network and gradient methods reproduce the target brain activity more accurately than the simple mapping.
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Kris Jensen @kristorpjensen.bsky.social · 24/09/2025
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...
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Venki Murthy @neurovenki.bsky.social · 19/09/2025
(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.
journals.plos.org
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...
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Abhilasha Joshi, PhD @rhythmicspikes.bsky.social · 17/09/2025
1/ 🚨 New preprint! 🚨 Excited and proud (& a little nervous 😅) to share our latest work on the importance of #theta-timescale spiking during #locomotion in #learning. If you care about how organisms learn, buckle up. 🧵👇 📄 www.biorxiv.org/content/10.1... 💻 code + data 🔗 below 🤩 #neuroskyence
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Jörn Diedrichsen @diedrichsenjorn.bsky.social · 10/09/2025
Variance partitioning is used to quantify the overlap of two models. Over the years, I have found that this can be a very confusing and misleading concept. So we finally we decided to write a short blog to explain why. @martinhebart.bsky.social @gallantlab.org diedrichsenlab.org/BrainDataSci...
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Emilie Macé @mace-lab.bsky.social · 11/09/2025
Thrilled to share that our work is now published in Science! ✨ We found a preference for visual objects in the mouse spatial navigation system where they dynamically refine head-direction coding. In short, objects boost our inner compass! 🧭 www.science.org/doi/10.1126/... 🧵1/
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mchurchland.bsky.social @mchurchland.bsky.social · 08/09/2025
Of potential interest to those keen on motor control and/or multi-task networks. Congrats to Elom and Eric. www.biorxiv.org/content/10.1...
biorxiv.org
Motor cortex flexibly deploys a high-dimensional repertoire of subskills
Skilled movement often requires flexibly combining multiple subskills, each requiring dedicated control strategies and underlying computations. How the motor system achieves such versatility remains u...
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Mehrdad Kashefi @mkashefi.bsky.social · 06/09/2025
Excited to share my latest work with @jonathanamichaels.bsky.social @diedrichsenjorn.bsky.social & @andpru.bsky.social! We asked: How does the motor cortex account for arm posture when generating movement? Paper 👉 www.biorxiv.org/content/10.1... 1/10
biorxiv.org
Compositional neural dynamics during reaching
The complex mechanics of the arm make the neural control of reaching inherently posture dependent. Because previous reaching studies confound reach direction with final posture, it remains unknown how...
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Venki Murthy @neurovenki.bsky.social · 01/09/2025
Thrilled to share this work, long time in the making! Carried through creatively by @siddjakes.bsky.social after initial design & piloting by @trackingskills.bsky.social, with help from @trackingactions.bsky.social. Modeling in collaboration with Massimo Vergassola & Nicola Rigolli.
biorxiv.org
Mice navigate scent trails using predictive policies
Animals actively sense their environment to extract features of interest to guide behaviors. For mammals, odors are prominent environmental features which are sampled by active modulation of sniffing ...
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Kiah Hardcastle @kiahhardcastle.bsky.social · 12/08/2025
Excited to announce that my first postdoc paper is now online! Links: www.nature.com/articles/s41... rdcu.be/eAcN7 In it, we examine the perennial question: what changes in the brain when learning a new motor skill? Read more below to find out 👇
nature.com
Differential kinematic coding in sensorimotor striatum across behavioral domains reflects different contributions to movement - Nature Neuroscience
Hardcastle and Marshall et al. show that striatal function is domain specific, required for task-related but not spontaneously expressed movements. This functional distinction is reflected in starkly ...
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Jörn Diedrichsen @diedrichsenjorn.bsky.social · 21/07/2025
Congrats to @alighavampour.bsky.social and @mnlmrc.bsky.social for developing a new paradigm for hand synergy learning. If you are looking for a motor skill task that seems impossibly difficult and really needs to learning to be mastered, here it is: journals.physiology.org/doi/full/10....
journals.physiology.org
A paradigm to study the learning of muscle activity patterns outside of the natural repertoire | Journal of Neurophysiology | American Physiological Society
The acquisition of novel muscle activity patterns is a key aspect of motor skill learning, which can be seen, for example, when beginner musicians learn new guitar or piano chords. To study this proce...
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Jörn Diedrichsen @diedrichsenjorn.bsky.social · 21/07/2025
Careful dissection of motor sequence learning by @andpru.bsky.social and @mkashefi.bsky.social. In my humble opinion this should be an instant classic 😏. www.jneurosci.org/content/earl...
jneurosci.org
Motor sequence learning involves better prediction of the next action and optimization of movement trajectories
Learning new sequential movements is a fundamental skill for many animals. Motor sequence learning may arise from three distinct processes: (1) improved execution of individual movements independent o...
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Claudia Clopath Lab @clopathlab.bsky.social · 02/07/2025
Are predictions computed hierarchically, or can they be computed locally? Check out our paper! Congrats, Toshitake Asabuki and @colleenjg.bsky.social ! www.pnas.org/doi/10.1073/...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Felix Taschbach @ftaschbach.bsky.social · 08/05/2025
Thrilled about our new paper with bluesky-less Assaf Ramot. Especially thank you to all the amazing collaborators that have made this happen. x.com/assaframot/s...
x.com
Assaf Ramot on X: "Thrilled to share my postdoc work from @takaki_komiyama lab, showing how motor learning reshapes thalamic influence on motor cortex to enable learned movements. Hats off to our collaborators and co-authors for their incredible contributions! https://t.co/CvU6DkPtz7" / X
Thrilled to share my postdoc work from @takaki_komiyama lab, showing how motor learning reshapes thalamic influence on motor cortex to enable learned movements. Hats off to our collaborators and co-authors for their incredible contributions! https://t.co/CvU6DkPtz7
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Thomas Serre @thomasserre.bsky.social · 28/04/2025
🚨 New preprint alert! Our latest study, led by @DrewLinsley, examines how deep neural networks (DNNs) optimized for image categorization align with primate vision, using neural and behavioral benchmarks.
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Amy Orsborn @neuroamyo.bsky.social · 03/04/2025
Hot off the presses: big update to our work looking at how adaptive decoders influence neural representations. We added heroic analyses to show in both experiments & models that the structure of what the brain learns is altered by adaptive decoders. Check it out: www.biorxiv.org/content/10.1...
biorxiv.org
Assistive sensory-motor perturbations influence learned neural representations
Task errors are used to learn and refine motor skills. We investigated how task assistance influences learned neural representations using Brain-Computer Interfaces (BCIs), which map neural activity i...
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The Transmitter @thetransmitter.bsky.social · 24/04/2025
We want to hear from you! We’re conducting a survey on the state of neuroscience. This week’s question is: What are the most important neuroscience findings of the past five years? #neuroskyence www.thetransmitter.org/state-of-neu...
thetransmitter.org
Survey: The state of basic neuroscience
We want to hear from all neuroscientists. Please participate in our survey.
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David Lipshutz @lipshutz.bsky.social · 09/04/2025
📣 Grad students and postdocs in computational and theoretical neuroscience: please consider applying for the 2025 Flatiron Institute Junior Theoretical Neuroscience Workshop! All expenses are covered. Apply by April 14. jtnworkshop2025.flatironinstitute.org
jtnworkshop2025.flatironinstitute.org
JTN - 2025
JTN - 2025
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Jonathan A. Michaels @jonathanamichaels.bsky.social · 02/04/2025
We’re excited about this project! We present a model of motor savings without the need for context.
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Laureline Logiaco @laurelinelogiaco.bsky.social · 31/03/2025
Looking forward to this @cosynemeeting.bsky.social workshop, which will start at 9:30 AM EST tomorrow! I will speak first at 9:30 AM. If you're at the conference and interested in learning mechanisms in multi-region neural network models of motor control, don't hesitate to join us!
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Laureline Logiaco @laurelinelogiaco.bsky.social · 25/03/2025
Do not miss Harsha's talk!
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Harsha Gurnani @harshag.bsky.social · 25/03/2025
Lastly, I will be presenting my recent work on identifying dynamical constraints on learning in feedback-driven circuits, on Day 1 of the #cosyne2025 workshop "Dynamics of brain computations through the lens of control theory" - super stoked to see you all in Montreal!
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