Talia Konkle
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taliakonkle.bsky.social
Talia Konkle
@taliakonkle.bsky.social
Cognitive computational neuroscientist and vision scientist. NeuroAI. Professor at Harvard University.
Reposted by Talia Konkle
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 Talia Konkle
2) Multimodal self-supervised world modeling in interactive embodied situations.

Here’s related work from the lab that we’ll be building on: bsky.app/profile/hafe...
Excited to share that seq-JEPA has been accepted to NeurIPS 2025!
Preprint Alert 🚀

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)
October 15, 2025 at 1:27 PM
Reposted by Talia Konkle
🚨 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
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
Reposted by Talia Konkle
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.
🔷 Launch of the IVADO 2026 Postdoctoral Research Funding Program for outstanding national and international postdoctoral researchers.

More info: ivado.ca/en/scholarsh...

#AI #ArtificialIntelligence #R3AI #Funding #Postdoc
October 16, 2025 at 3:34 PM
Reposted by Talia Konkle
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)

🧠🤖 🧠📈 #MLSky
🚨 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
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 2:35 PM
Reposted by Talia Konkle
⌛️ 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.

👉 Learn more & apply: bit.ly/3UvpSpe
#LLMs #NeuroAI #ML
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.
bit.ly
September 24, 2025 at 7:49 PM
Reposted by Talia Konkle
This paper shows that some human "gestalt" style visual processing can emerge in purely feedforward deep nets with the right inductive biases and fine-tuning:

journals.plos.org/ploscompbiol...

🧠📈 🧪 #NeuroAI
A feedforward mechanism for human-like contour integration
Author summary A central challenge in vision science is understanding how the visual system links fragmented local features into coherent object representations. One foundational process supporting th...
journals.plos.org
August 26, 2025 at 5:42 PM
Reposted by Talia Konkle
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
The Algonauts Project 2025
homepage
algonautsproject.com
July 13, 2025 at 8:31 AM
Reposted by Talia Konkle
Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025! 🧠📈 🧪

We invite short papers or interactive demos on AI for neural, physiological or behavioral data.

Submit by Aug 22 👉 brainbodyfm-workshop.github.io
July 11, 2025 at 5:01 PM
Reposted by Talia Konkle
Exciting new preprint from the lab: “Adopting a human developmental visual diet yields robust, shape-based AI vision”. 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
arxiv.org
July 8, 2025 at 1:04 PM
Reposted by Talia Konkle
Announcement: Workshop at #CCN2025
🧠 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
Home
tinyurl.com
May 27, 2025 at 2:44 PM
Reposted by Talia Konkle
So excited that our excellence cluster 'The Adaptive Mind' got funded! 🥳 Looking forward to lots of great science and projects! #TheAdaptiveMind #ExcellenceInitiative 👁️🧠🤖
May 22, 2025 at 6:53 PM
Reposted by Talia Konkle
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.🧠🗽🧑‍🔬http://jtnworkshop2025.flatironinstitute.org/
@flatironinstitute.org @simonsfoundation.org
JTN - 2025
JTN - 2025
jtnworkshop2025.flatironinstitute.org
March 6, 2025 at 4:24 PM
Reposted by Talia Konkle
New preprint “Monkey See, Model Knew: LLMs accurately predict visual responses in humans AND NHPs”
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
March 14, 2025 at 4:14 PM
Reposted by Talia Konkle
I am excited to share that my undergraduate research has now been accepted to #ICLR2025.
📎: openreview.net/pdf?id=wMgr7...
🧑‍💻: github.com/BashivanLab/...

Tweeprint🧵⬇️
March 9, 2025 at 7:29 PM
Reposted by Talia Konkle
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
March 10, 2025 at 3:34 PM
Reposted by Talia Konkle
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/...
March 6, 2025 at 9:36 PM
Reposted by Talia Konkle
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. 🧵👇
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.
www.nature.com
February 19, 2025 at 11:20 PM
Reposted by Talia Konkle
1/ Super-excited to share our new work “Episodic and associative memory from spatial scaffolds in the hippocampus”, that just appeared in Nature! www.nature.com/articles/s41... Key insights and ideas 👇#tweeprint
Episodic and associative memory from spatial scaffolds in the hippocampus - Nature
A neocortical–entorhinal–hippocampal network model based on grid cell states recapitulates experimental results and reconciles the spatial, associative and episodic memory roles of the hippocampus.
www.nature.com
January 17, 2025 at 12:08 AM
Reposted by Talia Konkle
CCN 2025 Area Chair Nomination

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...
CCN 2025 Area Chair Nomination
Area Chairs nominated to serve for the 8-page conference proceedings track at CCN 2025 should meet the following requirements: be a senior researcher (professor, research fellow, postdoc); have author...
forms.gle
January 10, 2025 at 9:55 AM
Reposted by Talia Konkle
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.
December 20, 2024 at 1:02 PM
Reposted by Talia Konkle
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!)
December 17, 2024 at 6:47 PM
Reposted by Talia Konkle
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
December 13, 2024 at 3:24 PM
Reposted by Talia Konkle
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
December 13, 2024 at 10:49 AM
Reposted by Talia Konkle
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
December 11, 2024 at 8:30 PM