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)
🧠🤖
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)
🧠🤖
Here’s related work from the lab that we’ll be building on: bsky.app/profile/hafe...
Can we simultaneously learn transformation-invariant and transformation-equivariant representations with self-supervised learning?
TL;DR Yes! This is possible via simple predictive learning & architectural inductive biases – without extra loss terms and predictors!
🧵 (1/10)
Here’s related work from the lab that we’ll be building on: bsky.app/profile/hafe...
🧠🤖
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.
🧠📈
A 🧵:
tinyurl.com/yr8tawj3
🧠🤖
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.
🧠📈
A 🧵:
tinyurl.com/yr8tawj3
More info: ivado.ca/en/scholarsh...
#AI #ArtificialIntelligence #R3AI #Funding #Postdoc
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)
🧠🤖 🧠📈 #MLSky
🧠🤖
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.
🧠📈
A 🧵:
tinyurl.com/yr8tawj3
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)
🧠🤖 🧠📈 #MLSky
Applications for the #KempnerInstitute Research Fellowships close Oct. 1.
We welcome postdocs exploring the foundations of #intelligence or applications of #AI to apply.
👉 Learn more & apply: bit.ly/3UvpSpe
#LLMs #NeuroAI #ML
Applications for the #KempnerInstitute Research Fellowships close Oct. 1.
We welcome postdocs exploring the foundations of #intelligence or applications of #AI to apply.
👉 Learn more & apply: bit.ly/3UvpSpe
#LLMs #NeuroAI #ML
journals.plos.org/ploscompbiol...
🧠📈 🧪 #NeuroAI
journals.plos.org/ploscompbiol...
🧠📈 🧪 #NeuroAI
#NeuroAI #CompNeuro #neuroscience #AI #CCN2025 #hessianAI #CNeuroMod
algonautsproject.com
#NeuroAI #CompNeuro #neuroscience #AI #CCN2025 #hessianAI #CNeuroMod
algonautsproject.com
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 👉 brainbodyfm-workshop.github.io
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 👉 brainbodyfm-workshop.github.io
Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy
arxiv.org/abs/2507.03168
Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy
arxiv.org/abs/2507.03168
🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET | 📍 Room A2.07
🔗 Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
🧠 Modeling the Physical Brain: Spatial Organization & Biophysical Constraints
🗓️ Monday, Aug 11 | 🕦 11:30–18:00 CET | 📍 Room A2.07
🔗 Register: tinyurl.com/CCN-physical...
#NeuroAI @cogcompneuro.bsky.social
@flatironinstitute.org @simonsfoundation.org
@flatironinstitute.org @simonsfoundation.org
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
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
📎: openreview.net/pdf?id=wMgr7...
🧑💻: github.com/BashivanLab/...
Tweeprint🧵⬇️
📎: openreview.net/pdf?id=wMgr7...
🧑💻: github.com/BashivanLab/...
Tweeprint🧵⬇️
Super excited to share recent work with the brilliant @mozesjacobs.bsky.social: "Traveling Waves Integrate Spatial Information Through Time"
1/14
Super excited to share recent work with the brilliant @mozesjacobs.bsky.social: "Traveling Waves Integrate Spatial Information Through Time"
1/14
www.pnas.org/doi/10.1073/...
www.pnas.org/doi/10.1073/...
Explains emergence of multiple grid cell modules, w/ excellent match to data! Novel mechanism for applying across vast systems from development to ecosystems. 🧵👇
Explains emergence of multiple grid cell modules, w/ excellent match to data! Novel mechanism for applying across vast systems from development to ecosystems. 🧵👇
Intrigued about supporting CCN’s new 8-page conference proceedings track? 📄
Fill out this form to nominate yourself or a colleague to act as (Senior) Area Chair at CCN25.
forms.gle/MTBgZZxQaDY8...
Intrigued about supporting CCN’s new 8-page conference proceedings track? 📄
Fill out this form to nominate yourself or a colleague to act as (Senior) Area Chair at CCN25.
forms.gle/MTBgZZxQaDY8...
Deadlines for submissions: 17th February for full papers ( abstract only; full paper on 20th FEB) & 10th April for 2 pagers.
Deadlines for submissions: 17th February for full papers ( abstract only; full paper on 20th FEB) & 10th April for 2 pagers.
(except climate science, deep learning, and neuroAI for which we also already have them!)
(except climate science, deep learning, and neuroAI for which we also already have them!)
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
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
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
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
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
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