Mashbayar Tugsbayar
@tmshbr.bsky.social
PhD student in NeuroAI @Mila & McGill w/ Blake Richards. Top-down feedback and brainlike connectivity in ANNs.
Reposted by Mashbayar Tugsbayar
🚨 New preprint alert!
🧠🤖
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
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...
tinyurl.com
September 30, 2025 at 2:26 PM
🚨 New preprint alert!
🧠🤖
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
Reposted by Mashbayar Tugsbayar
🧠🤖 Computational Neuroscience summer school IMBIZO in Cape Town is open for applications again!
💻🧬 3 weeks of intense coursework & projects with support from expert tutors and faculty
📈Apply until July 1st!
🔗https://imbizo.africa/
💻🧬 3 weeks of intense coursework & projects with support from expert tutors and faculty
📈Apply until July 1st!
🔗https://imbizo.africa/
May 8, 2025 at 8:19 AM
🧠🤖 Computational Neuroscience summer school IMBIZO in Cape Town is open for applications again!
💻🧬 3 weeks of intense coursework & projects with support from expert tutors and faculty
📈Apply until July 1st!
🔗https://imbizo.africa/
💻🧬 3 weeks of intense coursework & projects with support from expert tutors and faculty
📈Apply until July 1st!
🔗https://imbizo.africa/
Reposted by Mashbayar Tugsbayar
Want to spend 3 weeks in South Africa for an unforgettable summer school experience? Imbizo 2026 (imbizo.africa) student applications are OPEN! Lectures, new friends, and Noordhoek beach await. Apply by July 1!
More info and apply: imbizo.africa/apply/
#Imbizo2026 #CompNeuro
More info and apply: imbizo.africa/apply/
#Imbizo2026 #CompNeuro
May 1, 2025 at 10:06 AM
Want to spend 3 weeks in South Africa for an unforgettable summer school experience? Imbizo 2026 (imbizo.africa) student applications are OPEN! Lectures, new friends, and Noordhoek beach await. Apply by July 1!
More info and apply: imbizo.africa/apply/
#Imbizo2026 #CompNeuro
More info and apply: imbizo.africa/apply/
#Imbizo2026 #CompNeuro
Top-down feedback is ubiquitous in the brain and computationally distinct, but rarely modeled in deep neural networks. What happens when a DNN has biologically-inspired top-down feedback? 🧠📈
Our new paper explores this: elifesciences.org/reviewed-pre...
Our new paper explores this: elifesciences.org/reviewed-pre...
Top-down feedback matters: Functional impact of brainlike connectivity motifs on audiovisual integration
elifesciences.org
April 15, 2025 at 8:11 PM
Top-down feedback is ubiquitous in the brain and computationally distinct, but rarely modeled in deep neural networks. What happens when a DNN has biologically-inspired top-down feedback? 🧠📈
Our new paper explores this: elifesciences.org/reviewed-pre...
Our new paper explores this: elifesciences.org/reviewed-pre...
Reposted by Mashbayar Tugsbayar
Excited to share our new pre-print on bioRxiv, in which we reveal that feedback-driven motor corrections are encoded in small, previously missed neural signals.
April 7, 2025 at 2:55 PM
Excited to share our new pre-print on bioRxiv, in which we reveal that feedback-driven motor corrections are encoded in small, previously missed neural signals.
Reposted by Mashbayar Tugsbayar
Are you training self-supervised/foundation models, and worried if they are learning good representations? We got you covered! 💪
🦖Introducing Reptrix, a #Python library to evaluate representation quality metrics for neural nets: github.com/BARL-SSL/rep...
🧵👇[1/6]
#DeepLearning
🦖Introducing Reptrix, a #Python library to evaluate representation quality metrics for neural nets: github.com/BARL-SSL/rep...
🧵👇[1/6]
#DeepLearning
April 1, 2025 at 6:24 PM
Are you training self-supervised/foundation models, and worried if they are learning good representations? We got you covered! 💪
🦖Introducing Reptrix, a #Python library to evaluate representation quality metrics for neural nets: github.com/BARL-SSL/rep...
🧵👇[1/6]
#DeepLearning
🦖Introducing Reptrix, a #Python library to evaluate representation quality metrics for neural nets: github.com/BARL-SSL/rep...
🧵👇[1/6]
#DeepLearning
Reposted by Mashbayar Tugsbayar
At #Cosyne2025? Come by my poster today (3-047) to hear how sequential predictive learning produces a continuous neural manifold with the ability to generate replay during sleep, and spatial representations that "sweep" ahead to future positions. All from sensory information alone!
March 29, 2025 at 1:30 PM
At #Cosyne2025? Come by my poster today (3-047) to hear how sequential predictive learning produces a continuous neural manifold with the ability to generate replay during sleep, and spatial representations that "sweep" ahead to future positions. All from sensory information alone!
Reposted by Mashbayar Tugsbayar
Very excited for the upcoming Cosyne in Montreal! I’ll be presenting my poster [2-126] Brain-like neural dynamics for behavioral control develop through reinforcement learning, on the Friday session at 13:15.
Feel free to drop by! The related pre-print is also out:
www.biorxiv.org/content/10.1...
Feel free to drop by! The related pre-print is also out:
www.biorxiv.org/content/10.1...
Brain-like neural dynamics for behavioral control develop through reinforcement learning
During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...
www.biorxiv.org
March 26, 2025 at 10:58 PM
Very excited for the upcoming Cosyne in Montreal! I’ll be presenting my poster [2-126] Brain-like neural dynamics for behavioral control develop through reinforcement learning, on the Friday session at 13:15.
Feel free to drop by! The related pre-print is also out:
www.biorxiv.org/content/10.1...
Feel free to drop by! The related pre-print is also out:
www.biorxiv.org/content/10.1...
Reposted by Mashbayar Tugsbayar
The problem with current SSL? It's hungry. Very hungry. 🤖
Training time: Weeks
Dataset size: Millions of images
Compute costs: 💸💸💸
Our #NeurIPS2024 poster makes SSL pipelines 2x faster and achieves similar accuracy at 50% pretraining cost! 💪🏼✨
🧵 1/8
Training time: Weeks
Dataset size: Millions of images
Compute costs: 💸💸💸
Our #NeurIPS2024 poster makes SSL pipelines 2x faster and achieves similar accuracy at 50% pretraining cost! 💪🏼✨
🧵 1/8
December 13, 2024 at 3:44 AM
The problem with current SSL? It's hungry. Very hungry. 🤖
Training time: Weeks
Dataset size: Millions of images
Compute costs: 💸💸💸
Our #NeurIPS2024 poster makes SSL pipelines 2x faster and achieves similar accuracy at 50% pretraining cost! 💪🏼✨
🧵 1/8
Training time: Weeks
Dataset size: Millions of images
Compute costs: 💸💸💸
Our #NeurIPS2024 poster makes SSL pipelines 2x faster and achieves similar accuracy at 50% pretraining cost! 💪🏼✨
🧵 1/8
Reposted by Mashbayar Tugsbayar
Why does #compneuro need new learning methods? ANN models are usually trained with Gradient Descent (GD), which violates biological realities like Dale’s law and log-normal weights. Here we describe a superior learning algorithm for comp neuro: Exponentiated Gradients (EG)! 1/12 #neuroscience 🧪
October 28, 2024 at 5:18 PM
Why does #compneuro need new learning methods? ANN models are usually trained with Gradient Descent (GD), which violates biological realities like Dale’s law and log-normal weights. Here we describe a superior learning algorithm for comp neuro: Exponentiated Gradients (EG)! 1/12 #neuroscience 🧪
Reposted by Mashbayar Tugsbayar
1. Hi all: I’m here to advertise our new preprint: www.biorxiv.org/content/10.1..., with Fabrice Normandin, @tyrellturing.bsky.social, and @glajoie.bsky.social!
The oneirogen hypothesis: modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms
Classical psychedelics induce complex visual hallucinations in humans, generating percepts that are coherent at a low level, but which have surreal, dream-like qualities at a high level. While there a...
www.biorxiv.org
October 8, 2024 at 2:57 PM
1. Hi all: I’m here to advertise our new preprint: www.biorxiv.org/content/10.1..., with Fabrice Normandin, @tyrellturing.bsky.social, and @glajoie.bsky.social!