Brokoslaw Laschowski

YouTube video by Brokoslaw Laschowski Minds and machines

youtu.be/02C8FPO50co?...

U of T Engineering News Brains, minds & machines: A new algorithm for decoding intelligence [photo of Laschowski in a lab with a machine and a whiteboard with formulas]

🧠 Imagine being able to control machines by thinking.

@drlaschowski.bsky.social (MIE) and his Computational Neuroscience Lab are working to make it possible. They've developed a new algorithm that could make brain decoding more accurate and efficient.

Read the story: uofteng.ca/25h7c8

To learn more about our research, follow @compneurolab.bsky.social

I'll always remember that day on campus. Was a special moment.

Imagine a brain decoding algorithm that could generalize across different subjects and tasks. Today, we’re one step closer to achieving that vision.

Introducing the flagship paper of our brain decoding program: www.biorxiv.org/content/10.1...
#neuroAI #compneuro @utoronto.ca @uhn.ca

A nice application of our NeuroAI Turing Test! Check out
@ithobani.bsky.social's thread for more details on comparing brains to machines!

Back to grad school?

I've been arguing that #NeuroAI should model the brain in health *and* in disease -- very excited to share a first step from Melika Honarmand: inducing dyslexia in vision-language-models via targeted perturbations of visual-word-form units (analogous to human VWFA) 🧠🤖🧪 arxiv.org/abs/2509.24597

YouTube video by Dwarkesh Patel Richard Sutton – Father of RL thinks LLMs are a dead end

The brain isn’t tabula rasa. Evolution has encoded strong inductive priors in our neural architectures and plasticity rules, providing structured initialization that enables efficient reinforcement learning and optimization.

#neuroAI #compneuro m.youtube.com/watch?v=21EY...

Inferring learning rules during de novo task learning https://www.biorxiv.org/content/10.1101/2025.09.29.679295v1

Faculty Position in Neuroscience The School of Life Sciences at EPFL invites applications for a Tenure Track Assistant Professor position in Neuroscience. At EPFL researchers develop and apply innovative technologies to understand br...

Come be our colleague at EPFL! Several open calls for positions 🧪🧠🤖

* Neuroscience www.epfl.ch/about/workin... (deadline Oct 1)

* Life Science Engineering www.epfl.ch/about/workin...

* CS general call www.epfl.ch/about/workin...

* Learning Sciences www.epfl.ch/about/workin...

1/6 Recent discussions (e.g. Rich Sutton on @dwarkesh.bsky.social’s podcast) have highlighted why animals are a better target for intelligence — and why scaling alone isn’t enough.
In my recent @cmurobotics.bsky.social seminar talk, “Using Embodied Agents to Reverse-Engineer Natural Intelligence”,

YouTube video by NeurotechUofT NeuroAI and the Brain-Machine Interaction with Dr. Brokoslaw Laschowski - NeurON Air #2

Our lab director Dr. Laschowski sat down with UofT neuroscience students to discuss brain science, AI, and machine learning www.youtube.com/watch?v=f3wJ...

@uhnresearch.ca @uhn.ca @uoft.bsky.social @drlaschowski.bsky.social #neuroAI

Congratulations

Interested in a #PhD in machine learning & theoretical neuroscience?

Applications for 2026 entry to the Gatsby Unit PhD programme are open!

💰 Fully-funded 4-year programme
🤝 Close links to @sainsburywellcome.bsky.social
ℹ️ www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-programme

Brown’s Department of Cognitive & Psychological Sciences is hiring a tenure-track Assistant Professor, working in the area of AI and the Mind (start July 1, 2026). Apply by Nov 8, 2025 👉 apply.interfolio.com/173939

#AI #CognitiveScience #AcademicJobs #BrownUniversity

Explicit retrieval of learning experiences from nonparametric learning systems complements the broader knowledge of parametric learning—by making select, relevant experiences available in context where they can be more flexibly used in ways different from the original task setting in which they were encountered.

But models can readily use latent information in their context. We therefore suggest that natural intelligence solves the latent learning problem via the complementary strengths of episodic memory: reinstating experiences into context makes latent information accessible. 4/

It was an honour to give the grand rounds talk this morning in the Department of Surgery at CHU Sainte-Justine and Université de Montréal.

Thank you for the invitation. #neuroAI #compneuro

Are you a graduate student in #Ukraine interested in machine learning and neuroscience? My research lab at #UofT is now accepting applications for remote thesis supervision.

(1/3) #neuroAI #compneuro @vectorinstitute.ai @uoft.bsky.social @uoftcompsci.bsky.social @uhn.ca

Elon Musk's Neuralink chip implanted in two Canadian patients | Hanomansing Tonight Two Canadian patients with spinal cord injuries have received Elon Musk's Neuralink brain implants, that allow them to control a computer with their thoughts.

Dr. Andres Lozano, a neurosurgeon at UHN, is leading the Canadian clinical trials of the Neuralink brain implant. He shares how the implant will allow patients with spinal cord injuries to control a computer cursor with only their thoughts.

Watch: https://bit.ly/4pcjcua

Correction: After fleeing Russia's invasion

Congrats

The good old performance vs. efficiency debate. Time to bring out the Pareto fronts.

Despite its efficiency, the brain is oddly inefficient: requires ~8 hours of sleep for every 16 hours of runtime. We spend a third of our lives recharging.

Our clinical trial with Neuralink is officially underway! #neuroAI #compneuro @uhn.ca

Come join us at University of Toronto. We're hiring a Professor of computational cognitive neuroscience.

#neuroAI #compneuro jobs.utoronto.ca/job/Toronto-...

We are proud to announce that Canada’s first Neuralink implant surgeries have been successfully completed at UHN. This achievement redefines possibilities in treatment for patients with paralysis.

Learn more: www.uhn.ca/corporate/Ne...

Can self supervised learning help understand how the brain learns to see the world?

Our latest study, led by Josephine Raugel (FAIR, ENS), is now out:

📄 arxiv.org/pdf/2508.18226
🧵 thread below

Loving the reverse predictivity. Awesome work.

I started in neuroscience. Then spent several years building artificial brains for robots. Now I'm back in neuroscience. Enjoy the journey.

#neuroscience #AI @utoronto.ca