Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand".
www.nature.com/articles/s41...
Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵
This paper changed my mind on how visual processing works in the brain. We knew it was dynamic given all the recurrent connections. But I thought it would converge to a fixpoint during a fixation. Not so, it seems ... The dynamic captures different aspects of the stimulus at different times. Nice.
Ever wondered why we fixate some locations longer than others? We initially thought that it had to do with recognition complexity, and were quite wrong.
In Nature Neuroscience we present an alternative take: the need to memorise governs fixation durations.
NEAT (Neuro-AI-Talks) is fully booked!
We are happy for the great interest and are looking forward to welcoming you all to Osnabrück in September!
A huge effort and a new take on what constitutes the "feedforward pass" across the visual system. Make sure to check out our new preprint:
A huge effort and a new take on what constitutes the "feedforward pass" across the visual system. Make sure to check out our new preprint:
We wrote a book! www.cambridge.org/core/books/s...
Consciousness science is a fascinating but bewildering field: many competing theories, little consensus, and big open questions.
If you are looking for an accessible guide through this complex landscape, this book is for you.
By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...
Happy to announce the 3rd iteration of NEAT (Neuro-AI-Talks), which will take place in Osnabrück September 14th-15th 2026.
NEAT is a (deliberately small scale) NeuroAI workshop that brings together researchers from neuroscience and AI.
www.kietzmannlab.org/neat2026/
More information below 👇
A huge effort and a new take on what constitutes the "feedforward pass" across the visual system. Make sure to check out our new preprint:
Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand".
www.nature.com/articles/s41...
Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵
Excited about our new preprint: “The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream”
arxiv.org/abs/2604.12825
Work with Sushrut Thorat, Anna Mitola, Paolo Papale, Peter König & Tim Kietzmann
🧵 thread below
Excited about our new preprint: “The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream”
arxiv.org/abs/2604.12825
Work with Sushrut Thorat, Anna Mitola, Paolo Papale, Peter König & Tim Kietzmann
🧵 thread below
By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...
In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regions in a stage-like ...
arxiv.org
In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regions in a stage-like ...
Looking for robust AI vision? Then this NeuroAI paper may be for you 👇
Open access, open code, open weights.
Excited about our new preprint: “The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream”
arxiv.org/abs/2604.12825
Work with Sushrut Thorat, Anna Mitola, Paolo Papale, Peter König & Tim Kietzmann
🧵 thread below
Our NeuroAI study made it onto the cover of Nature Machine Intelligence ❤️.
In it, we demonstrate that a developmentally-inspired visual diet can drastically improve the robustness of ANN-based vision systems.
www.nature.com/articles/s42...
open access, open code, open weights, open science.
Packed room for the second talk of the MIND (machine intelligence, neuroscience discovery) lecture series in Osnabrück.
Excited to hear from @dirkwulff.bsky.social !
In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regions in a stage-like ...
Now out in Nature Machine Intelligence @NatMachIntell “Adopting a human developmental visual diet yields robust and shape-based AI vision”:
doi.org/10.1038/s422.... A wonderful case where brain inspiration improved AI.
With @martisamuser.bsky.social, Radek Cichy and @timkietzmann.bsky.social .
