"neural networks need to be adversarially robust like the human visual cortex. like you shouldn't be able to change a few pixels and completely change the semantic meaning of an image" the human visual cortex:

Today at 3pm the UK will be testing the emergency alert system on every phone. Please remind your friends and relatives to ensure they are not frightened by the alarm and to give people with hidden emergency phones the opportunity to turn them off before the test is conducted.

I'm really baffled at this urge to reduce complex sociocultural and psychological phenomena (like transgenerational effects of trauma) to some kind of molecular mechanism

Achewood is posting new comics + more again! Exclusively on Patreon: patreon.com/achewood Several months' worth of content has been created and scheduled to go live, starting NOW

Are neural oscillations an emergent property of the brain? My two cents: sure, but not in the ordinary sense. When I think of emergence I think of the V-shape in a flock of birds, or life as emerging from matter undergoing biological processes. 🧵>>

you all sneer at armchair psychology, but can't name a better place to do psychology

Lets talk about a single texture that's been a huge game changer in the world of gaming. And the crazy part? You probably haven't even noticed it. This texture is literally EVERYWHERE. And there's something pretty special about it that's made it so popular. Another big🧵

See it’s not just commercial property owners who want you to commute, it’s also car manufacturers

Check out my first preprint “Attention rhythmically shapes sensory tuning” (biorxiv.org/content/10.110…) in collaboration with Ian Donovan and Laura Dugué Dugué Lab. Key results in the thread.

Works beautifully for me

1/6 What keeps our visual perception stable across sustained time durations, despite a dramatic reduction in neuronal activity? We are pleased to share our work that has just been published in Cell Reports sciencedirect.com/science/articl… suggesting a plausible answer to this question.

I was recently on a panel with several other professors and we were asked to give some tips to graduate students in machine learning. It got me thinking about why professors are so bad at giving advice. So here are some reasons why you should not take advice from professors.

Introducing BrainGPT.org, a large language model (LLM) to assist neuroscience research. BrainGPT is trained on the vast neuroscience literature and can be used to optimize study design, detect anomalous results, and evaluate models against broad data patterns. (1/3)

A new study from Queensland Brain Institute, UQ researcher Anthony Harris has found that brainwaves can affect visual perception, particularly when distinguishing between objects. 🔗 bit.ly/3J56QAb #UQ #QBI #brain #research #science #news