AI and Neuroscience | IVADO
Iβm 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)
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07.11.2025 13:52 β π 43 π 23 π¬ 1 π 0
2) Multimodal self-supervised world modeling in interactive embodied situations.
Hereβs related work from the lab that weβll be building on: bsky.app/profile/hafe...
15.10.2025 13:27 β π 1 π 1 π¬ 0 π 0
The curriculum effect in visual learning: the role of readout dimensionality
Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explan...
π¨ New preprint alert!
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We propose a theory of how learning curriculum affects generalization through neural population dimensionality. Learning curriculum is a determining factor of neural dimensionality - where you start from determines where you end up.
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A π§΅:
tinyurl.com/yr8tawj3
30.09.2025 14:25 β π 77 π 25 π¬ 1 π 2
Excellent funding opportunity: $100k/year for two years for a postdoc position in Montreal. Apply if you're interested in joining Montreal's thriving #NeuroAI ecosystem.
16.10.2025 15:34 β π 20 π 9 π¬ 0 π 0
So excited to see this preprint released from the lab into the wild.
Charlotte has developed a theory for how learning curriculum influences learning generalization.
Our theory makes straightforward neural predictions that can be tested in future experiments. (1/4)
π§ π€ π§ π #MLSky
30.09.2025 14:35 β π 37 π 8 π¬ 2 π 0
Kempner Research Fellowship - Kempner Institute
The Kempner brings leading, early-stage postdoctoral scientists to Harvard to work on projects that advance the fundamental understanding of intelligence.
βοΈ Deadline approaching!
Applications for the #KempnerInstitute Research Fellowships close Oct. 1.
We welcome postdocs exploring the foundations of #intelligence or applications of #AI to apply.
π Learn more & apply: bit.ly/3UvpSpe
#LLMs #NeuroAI #ML
24.09.2025 19:49 β π 5 π 4 π¬ 0 π 0
The Algonauts Project 2025
homepage
The Algonauts Challenge submission is over: > 60 teams participated! To be considered in the winners selection process, please post your report/code by July 25th. We will announce the winners on August 5th!
#NeuroAI #CompNeuro #neuroscience #AI #CCN2025 #hessianAI #CNeuroMod
algonautsproject.com
13.07.2025 08:31 β π 8 π 3 π¬ 0 π 0
Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025! π§ π π§ͺ
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 π brainbodyfm-workshop.github.io
11.07.2025 17:01 β π 33 π 10 π¬ 0 π 3
Exciting new preprint from the lab: βAdopting a human developmental visual diet yields robust, shape-based AI visionβ. A most wonderful case where brain inspiration massively improved AI solutions.
Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy
arxiv.org/abs/2507.03168
08.07.2025 13:03 β π 139 π 59 π¬ 3 π 11
Home
Announcement: Workshop at #CCN2025
π§ Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
ποΈ Monday, Aug 11 | π¦ 11:30β18:00 CET | π Room A2.07
π Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
27.05.2025 14:44 β π 15 π 5 π¬ 1 π 0
So excited that our excellence cluster 'The Adaptive Mind' got funded! π₯³ Looking forward to lots of great science and projects! #TheAdaptiveMind #ExcellenceInitiative ποΈπ§ π€
22.05.2025 18:53 β π 48 π 7 π¬ 2 π 0
JTN - 2025
JTN - 2025
Applications are open for the 2025 Flatiron Institute Junior Theoretical Neuroscience Workshop! A two-day workshop 7/10-7/11 in NYC for PhD students and postdocs. All travel paid. Apply by April 14th.π§ π½π§βπ¬http://jtnworkshop2025.flatironinstitute.org/
@flatironinstitute.org @simonsfoundation.org
06.03.2025 16:24 β π 40 π 20 π¬ 0 π 5
New preprint βMonkey See, Model Knew: LLMs accurately predict visual responses in humans AND NHPsβ
Led by Colin Conwell with @emaliemcmahon.bsky.social Akshay Jagadeesh, Kasper Vinken @amrahs-inolas.bsky.social @jacob-prince.bsky.social George Alvarez @taliakonkle.bsky.social & Marge Livingstone 1/n
14.03.2025 16:14 β π 50 π 19 π¬ 1 π 0
I am excited to share that my undergraduate research has now been accepted to #ICLR2025.
π: openreview.net/pdf?id=wMgr7...
π§βπ»: github.com/BashivanLab/...
Tweeprintπ§΅β¬οΈ
09.03.2025 19:29 β π 17 π 4 π¬ 1 π 1
In the physical world, almost all information is transmitted through traveling waves -- why should it be any different in your neural network?
Super excited to share recent work with the brilliant @mozesjacobs.bsky.social: "Traveling Waves Integrate Spatial Information Through Time"
1/14
10.03.2025 15:33 β π 151 π 43 π¬ 3 π 6
People talk a lot about objects, but what about the softness of a cushion, the greenness of an emerald, or the viscosity of oil? In our work just published @pnas.org, we shed light on how we make sense of the hundreds of materials around us.
www.pnas.org/doi/10.1073/...
06.03.2025 21:36 β π 86 π 37 π¬ 1 π 1
Global modules robustly emerge from local interactions and smooth gradients - Nature
The principle of peak selection is described, by which local interactions and smooth gradients drive self-organization of discrete global modules.
1/ Our paper appeared in @Nature today! www.nature.com/articles/s41... w/ Fiete Lab and @khonamikail.bsky.social .
Explains emergence of multiple grid cell modules, w/ excellent match to data! Novel mechanism for applying across vast systems from development to ecosystems. π§΅π
19.02.2025 23:20 β π 97 π 32 π¬ 2 π 2
For #CCN2025 in Amsterdam, we will, for the first time, have conference proceedings that include both full length peer-reviewed papers and the traditional 2-page track!
Deadlines for submissions: 17th February for full papers ( abstract only; full paper on 20th FEB) & 10th April for 2 pagers.
20.12.2024 13:02 β π 25 π 12 π¬ 2 π 7
It is very convenient to be able to point people to @neuromatch.bsky.social materials to get them up to speed for a compneuro modeling project. All computational fields should create one of these courses!
(except climate science, deep learning, and neuroAI for which we also already have them!)
17.12.2024 18:47 β π 44 π 5 π¬ 1 π 1
Monkey See, Model Knew: LLMs accurately Predict Human AND Macaque Visual Brain Activity
Colin Conwell, @emaliemcmahon.bsky.social, Akshay Vivek Jagadeesh, Kasper Vinken, @amrahs-inolas.bsky.social, @jacob-prince.bsky.social, George Alvarez, @taliakonkle.bsky.social and Marge Livingstone
13.12.2024 15:24 β π 7 π 3 π¬ 1 π 0
New paper with @leonlufkin.bsky.social and @eringrant.bsky.social!
Why do we see localized receptive fields so often, even in models without sparisity regularization?
We present a theory in the minimal setting from @aingrosso.bsky.social and @sebgoldt.bsky.social
13.12.2024 10:49 β π 28 π 8 π¬ 0 π 0
How do a neural network's final parameters depend on its initial ones?
In this new paper, we answer this question by analyzing the training Jacobian, the matrix of derivatives of the final parameters with respect to the initial parameters.
https://arxiv.org/abs/2412.07003
11.12.2024 20:30 β π 92 π 18 π¬ 4 π 0
Ready for #NeurReps2024?
Our schedule at @neuripsconf.bsky.social
is out π
neurips.cc/virtual/2024...
Join us this Saturday! π§
With @eerosim.bsky.social @taliakonkle.bsky.social Stefanie Jegelka, Srinivas Turaga, Ilker Yildirim and Savannah Thais
11.12.2024 02:32 β π 25 π 8 π¬ 0 π 1
NEW: we have an exciting opportunity for a tenure-track professor at the #KempnerInstitute and the John A. Paulson School of Engineering and Applied Sciences (SEAS). Read the full description & apply today: academicpositions.harvard.edu/postings/14362
#ML #AI
03.12.2024 01:24 β π 20 π 19 π¬ 0 π 1
Wish we had polls here but in their absence: can ML people tell me how they would define "ablation" or "ablation study"?
As someone who frequently translates between neuroscience and ML, I fear this is another term that we both use, but slightly differently. #MLsky
28.11.2024 13:39 β π 84 π 10 π¬ 18 π 2
MSc Student in NeuroAI @ McGill & Mila
w/ Blake Richards & Shahab Bakhtiari
Neuroscientist | Brain Inspired Podcast
https://braininspired.co/
Director Ann S. Bowers WBHI | Prof @UCSantaBarbara | Using neuroscience tools to shine a floodlight on womenβs brain health https://wbhi.ucsb.edu | http://www.masterclass.com/drjacobs
Advancing AI & robotics by reverse engineering the neocortex.
Leveraging sensorimotor learning, structured reference frames, & cortical modularity.
Open-source research backed by Jeff Hawkins & Gates Foundation.
Explore thousandbrains.org
Cracking the code for cognition.
PhD Candidate at Hebart-Lab (Vision and Computational Cognition).
https://laurastoinski.com/
https://hebartlab.com/
Chronic research nomad. Likes all kinds of neural networks and math
Professor, Stanford
Vision Neuroscientist
Interested on how the interplay between brain function, structure & computations enables visual perception; and also what are we born with and what develops.
Computational social neuroscientist interested in person perception, emotion, and Neuro-AI | Graduate Student in the SCRAP Lab at Dartmouth
Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana
Interested in neuroscience, development and dynamical systems | Faculty member @ ICTS | Previously: @MIT, @UMD, @IITK
We're a research group at The Ohio State University studying how the human brain develops and changes with experience.
Cognitive scientist working at the intersection of moral cognition and AI safety. Currently: Google Deepmind. Soon: Assistant Prof at NYU Psychology. More at sites.google.com/site/sydneymlevine.
Cognitive Neuroscientist
PhD Candidate, Phelps Lab
Harvard University
Developmental cognitive neuroscientist at University of Edinburgh
Cognitive neuroscientist, parent, mentor, advocate, soccer lover; Professor of Psychology at Ohio State Univ, lab website: https://u.osu.edu/golomblab/
Cognitive scientist studying vision, attention, and consciousness at Amherst and MIT!
Cognitive Neuroscientist at CIMeC, Uni Trento (IT).
I study action recognition, dynamic events, concepts, and predictive processing using fMRI, MEG, MVPA, and (dynamic) RSA
vision neuroscientist, U Penn Psych PI, appreciator of penguins