Alireza Karami | علیرضا کرمی's Avatar

Alireza Karami | علیرضا کرمی

@alirezakr.bsky.social

Postdoctoral researcher @NeuroSpin | AI 🤖 & neuroscience 🧠 enthusiast https://linktr.ee/alirezakr

419 Followers  |  661 Following  |  41 Posts  |  Joined: 14.11.2024
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Posts by Alireza Karami | علیرضا کرمی (@alirezakr.bsky.social)

Open Positions | Research Center

The Per2Con group at CIMeC is actively seeking Post-Docs interested in investigating how newborns 👶 🧒 perceive 👁️👂and learn, using 🧠 HD EEG and eye-tracking.

✨You are motivated to work on neurodevelopment: we would love to hear from you to prepare a grant proposal together (Marie-Curie, Fyssen...)

02.03.2026 15:58 — 👍 4    🔁 2    💬 1    📌 0
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The strongest version of this illusion I’ve seen! Absolute head-wrecker!

21.02.2026 16:36 — 👍 383    🔁 123    💬 24    📌 29
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The "publish or perish" culture must perish. Scientists need time to think.

We just published our Slow Science Manifesto, where we argue that huge changes are needed in the way we fund, publish, and evaluate science.

Read more and sign here: www.slow-science.com

20.02.2026 16:11 — 👍 108    🔁 53    💬 2    📌 8
quote from Dmitri “Mitya” Chklovskii on orange background: "Artificial intelligence systems like ChatGPT — amazing as they are — are, in several respects, inferior to the human brain,”

quote from Dmitri “Mitya” Chklovskii on orange background: "Artificial intelligence systems like ChatGPT — amazing as they are — are, in several respects, inferior to the human brain,”

Neuroscientists at @flatironinstitute.org are using #neurobiology to enhance artificial systems with a new type of computational component more akin to those found in real brains: https://www.simonsfoundation.org/biological-brains-inspire-a-new-building-block-for-artificial-neural-networks/ #science

20.02.2026 16:15 — 👍 5    🔁 2    💬 0    📌 0
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Mechanistic Basis of Reasoning (in Brains and AI) | IVADO

Very excited for our second workshop on the computational ingredients of reasoning (Feb 24-27), this one focused on mechanisms of reasoning in both AI and the brain. Check out the program to see our amazing lineup of speakers, and please consider attending! ivado.ca/en/events/me...

16.02.2026 16:29 — 👍 9    🔁 2    💬 1    📌 0

Excited to launch Principia, a nonprofit research organisation at the intersection of deep learning theory and AI safety.

Our goal is to develop theory for modern machine learning systems that can help us understand complex network behaviors, including those critical for AI safety and alignment.

1

16.02.2026 09:27 — 👍 91    🔁 26    💬 1    📌 1

Thrilled to finally share this work! 🧠🔊

Using a new reinforcement-free task we show mice (like humans) extract abstract structure from sound (unsupervised) & dCA1 is causally required by building factorised, orthogonal subspaces of abstract rules.

Led by Dammy Onih!
www.biorxiv.org/content/10.6...

16.02.2026 13:01 — 👍 150    🔁 52    💬 3    📌 2
Research Coordinator | Brain and Cognitive Development Lab | Illinois

Again, I'm looking for a lab research coordinator to work on the developmental cognitive neuroscience of numeracy in preschoolers. Please pass on to those that might be interested publish.illinois.edu/danielchyde/...

13.02.2026 16:23 — 👍 5    🔁 4    💬 1    📌 0
A conceptual illustration of multiple people looking to center, with conversation bubbles with baby and academic related drawings inside. Hedline is: As women in academia, having children can feel impossible. Talking about it makes us feel less alone

A conceptual illustration of multiple people looking to center, with conversation bubbles with baby and academic related drawings inside. Hedline is: As women in academia, having children can feel impossible. Talking about it makes us feel less alone

"The academic structure … makes planning for a family feel like an impossible luxury."

In this #ScienceWorkingLife, two postdocs share how, as women in academia, having children can feel impossible—and how talking about it makes them feel less alone. https://scim.ag/46uBWgD #WomenInScienceDay

11.02.2026 20:06 — 👍 63    🔁 29    💬 0    📌 7

neuroAI comparisons of ANNs to brains do have a range of problems. Even more than I had realized. And I was worried before: www.biorxiv.org/content/10.1...

09.02.2026 14:13 — 👍 93    🔁 28    💬 6    📌 4
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Preventing data leakage in neural decoding - "for autocorrelated neural time series, standard k-fold cross-validation can dramatically overstate performance." www.biorxiv.org/content/10.6...

30.01.2026 08:29 — 👍 21    🔁 9    💬 0    📌 0
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Postdoc position in Paris: come help develop new generation human brain computer interfaces ⚡🧠💻

Interested? Contact me if you have experience with machine learning (e.g. simulation-based inference, RL, generative/diffusion models) or dynamical systems.

See below for + details and retweet 🙏

27.01.2026 22:12 — 👍 75    🔁 56    💬 3    📌 5
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5 Minute Papers on AI for the Planet AI is more than just chatbots! Learn about how AI can be used to protect biodiversity, fight climate change, and just better understand our planet through 5-minute explainers covering academic papers ...

For the past 3 years, I've taught a course on Machine Learning for Climate Change to undergrads. At times, people have asked if the course lectures could be made available online. While I can't offer that, I have decided to start making "5 Minute Papers on AI for the Planet" videos. Hope its useful!

20.06.2025 01:55 — 👍 203    🔁 54    💬 10    📌 2
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Want to make publication-ready figures come straight from Python without having to do any manual editing? Are you fed up with axes labels being unreadable during your presentations? Follow this short tutorial including code examples! 👇🧵

16.10.2025 08:26 — 👍 158    🔁 46    💬 2    📌 4
LinkedIn This link will take you to a page that’s not on LinkedIn

🎓Fully-funded PhD studentship in Computational Cognitive Neuroscience!!!

Join @seanfw.bsky.social and myself at @tcddublin.bsky.social for a PhD at the intersection of cutting-edge cognitive neuroscience (OPM-MEG) and neuro-AI.
🗓 Deadline: 5 Feb 2026

#neurojobs #neuroscience #compneuro

20.01.2026 19:58 — 👍 24    🔁 12    💬 1    📌 2
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‪Voxelwise Encoding Models (VEMs) are a great framework for modeling fMRI data, but it can be difficult to implement. We've made VEM accessible by providing software, tutorials and reviews that guide its use an implementation. Get it here:
gallantlab.org/blog/2025-12...
#neuroscience, #neuroimaging

23.12.2025 20:31 — 👍 47    🔁 13    💬 3    📌 0
Summer School - About — the MetaLab

We're running a 5th edition of the always-exciting UCL Summer School on Consciousness and Metacognition this year, 8th-10th July 2026 in London. Accommodation and travel expenses are covered.

For more information and how to apply, check out metacoglab.org/summer-schoo...

20.01.2026 17:07 — 👍 34    🔁 19    💬 0    📌 1
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Characterizing individual brain differences to advance personalized diagnosis, treatment, and sustainable healthcare

15 fully funded PhD positions in EU-funded Doctoral Network (IndiBrain).

We lead Project 7 (@spinozacentre.bsky.social, @nin-knaw.bsky.social): biologically inspired models of individual observers combining 7T MRI + MEG, focusing on vision and recurrent processing. 4-year PhD.

Apply: indibrain.eu

19.01.2026 14:00 — 👍 8    🔁 6    💬 0    📌 0
Applications for 2026 entry to the Gatsby Bridging Programme (7-week maths summer school) will open on 19 Jan and close on 16 Feb. Designed for students who wish to pursue a postgrad research degree in theoretical neuroscience or foundational machine learning but whose degree programme lacks a strong maths focus. Applications from students in underrepresented groups in STEM strongly encouraged. A small number of bursaries available.
Register for the information webinar on 23 Jan.

Applications for 2026 entry to the Gatsby Bridging Programme (7-week maths summer school) will open on 19 Jan and close on 16 Feb. Designed for students who wish to pursue a postgrad research degree in theoretical neuroscience or foundational machine learning but whose degree programme lacks a strong maths focus. Applications from students in underrepresented groups in STEM strongly encouraged. A small number of bursaries available. Register for the information webinar on 23 Jan.

📢 Applications open on 19 Jan for the 7-week #Mathematics #SummerSchool in London. You will develop the maths skills and intuition necessary to enter the #TheoreticalNeuroscience / #MachineLearning field.

Find out more & register for the information webinar 👉 www.ucl.ac.uk/life-science...

15.01.2026 14:37 — 👍 25    🔁 27    💬 1    📌 1
Vacancy — PhD Position in NeuroAI for Video Perception in the Human Brain <p><span>Are you interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and apply for a PhD position in this exciting research direction.</span></p>

I have a PhD opening for my #VIDI BrainShorts project 📽️🧠🤖! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15).
werkenbij.uva.nl/en/vacancies...

16.01.2026 12:31 — 👍 31    🔁 26    💬 1    📌 0

"Simple heuristics to run a research group" onlinelibrary.wiley.com/doi/10.1002/...

01.01.2026 19:16 — 👍 27    🔁 9    💬 0    📌 2
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It isn't easy following science as a career path. Our series of personal essays, published on the last page of Science, aim to shed light on the challenges scientists face and, hopefully, help others feel less alone.

Here are @science.org's top essays of the year.

www.science.org/content/arti...

22.12.2025 17:16 — 👍 39    🔁 10    💬 1    📌 1
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Recent discoveries on the acquisition of the highest levels of human performance Scientists have long debated the origins of exceptional human achievements. This literature review summarizes recent evidence from multiple domains on the acquisition of world-class performance. We re...

Multidisciplinary training, over time, produces the highest impact people

www.science.org/doi/10.1126/...

20.12.2025 23:49 — 👍 213    🔁 71    💬 6    📌 5
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Excited to announce a new book telling the story of mathematical approaches to studying the mind, from the origins of cognitive science to modern AI! The Laws of Thought will be published in February and is available for pre-order now.

18.12.2025 15:59 — 👍 166    🔁 39    💬 2    📌 5
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Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.

If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/
#rstats #brms #EEG

11.12.2025 11:38 — 👍 69    🔁 28    💬 6    📌 1

Prediction: task-based optimization will ultimately prove to have a relatively minor role in DNN models of the ventral stream. Although tasks (including self-supervised ones) are currently crucial, there are signs that a simpler approach is possible. A thread:

15.12.2025 18:44 — 👍 20    🔁 9    💬 1    📌 0
Why Scaling Is Not Enough

I believe in scaling laws and I believe scaling will improve performance, and models like Gemini are clearly good models. The problem with scaling is this: for linear improvements, we previously had exponential growth as GPUs which canceled out the exponential resource requirements of scaling. This is no longer true. In other words, previously we invested roughly linear costs to get linear payoff, but now it has turned to exponential costs.

Frontier AI Versus Economic Diffusion

The US and China follow two different approaches to AI. The US follows the idea that there will be one winner who takes it all – the one that builds superintelligence wins. Even coming short of superintelligence of AGI, if you have the best model, almost all people will use your model and not the competition’s model. The idea is: develop the biggest, badest model and people will come.

China’s philosophy is different. They believe model capabilities do not matter as much...

Why Scaling Is Not Enough I believe in scaling laws and I believe scaling will improve performance, and models like Gemini are clearly good models. The problem with scaling is this: for linear improvements, we previously had exponential growth as GPUs which canceled out the exponential resource requirements of scaling. This is no longer true. In other words, previously we invested roughly linear costs to get linear payoff, but now it has turned to exponential costs. Frontier AI Versus Economic Diffusion The US and China follow two different approaches to AI. The US follows the idea that there will be one winner who takes it all – the one that builds superintelligence wins. Even coming short of superintelligence of AGI, if you have the best model, almost all people will use your model and not the competition’s model. The idea is: develop the biggest, badest model and people will come. China’s philosophy is different. They believe model capabilities do not matter as much...

“Why AGI Will Not Happen” by Tim Dettmers.

timdettmers.com/2025/12/10/w...

This essay is worth reading. Discusses diminishing returns (and risks) of scaling. The contrast between West and East: “Winner takes all” approach of building the biggest thing vs a long-term focus on practicality.

14.12.2025 03:04 — 👍 54    🔁 14    💬 4    📌 4
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Excited to announce our symposium on how AI and humans shape each other
“Humans and Artificial Minds: Mutual Influences”
9 Jan at ENS Paris.
Talks by @smfleming.bsky.social, Valeria Giardino, Silvia Tulli, @thecharleywu.bsky.social, Laurence Devillers & @summerfieldlab.bsky.social .
Program ↓

10.12.2025 10:40 — 👍 21    🔁 8    💬 0    📌 3

We recently stumbled upon a surprisingly common misunderstanding in computing noise ceilings that can be quite consequential. So if you care about noise ceilings, please check out Sander’s thread and our preprint! 👇

05.12.2025 08:39 — 👍 18    🔁 5    💬 0    📌 0
Left: washing machine with the words “Critical Washing” on it. 

Right: Quote: “When we critique AI, we should do so with intellectual honesty and in a principled way. Utmost care is needed to avoid ethics washing, greenwashing, and generally — what we dub — critical washing. (…) Researching and reflecting on the harms of AI is not itself harm reduction. It may even contribute to rationalizing, normalizing, and enabling harm. Critical reflection without appropriate action is thus quintessentially critical washing.”

—Suarez, Müller, Guest, & van Rooij (2025) https://zenodo.org/records/15677840

Left: washing machine with the words “Critical Washing” on it. Right: Quote: “When we critique AI, we should do so with intellectual honesty and in a principled way. Utmost care is needed to avoid ethics washing, greenwashing, and generally — what we dub — critical washing. (…) Researching and reflecting on the harms of AI is not itself harm reduction. It may even contribute to rationalizing, normalizing, and enabling harm. Critical reflection without appropriate action is thus quintessentially critical washing.” —Suarez, Müller, Guest, & van Rooij (2025) https://zenodo.org/records/15677840

18.11.2025 21:55 — 👍 73    🔁 30    💬 2    📌 11