Philip Sulewski
@psulewski.bsky.social
Researching human and computational vision.
Learning to entertain paradoxes.
Machine Learning (Kietzmann) & Neurobiopsychology (König) @ Uni Osnabrück
psulewski.de
Learning to entertain paradoxes.
Machine Learning (Kietzmann) & Neurobiopsychology (König) @ Uni Osnabrück
psulewski.de
Wonderful! Heartfelt congratulations!
November 21, 2025 at 10:28 AM
Wonderful! Heartfelt congratulations!
Now out in patterns: www.cell.com/patterns/ful...
Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision
This study gives an example of how complex computations in neural networks can emerge
from simple physical principles. Training a model to optimize internal energy efficiency
while performing eye move...
www.cell.com
November 21, 2025 at 8:03 AM
Now out in patterns: www.cell.com/patterns/ful...
That is officially cool! Exciting stuff.
August 26, 2025 at 6:51 PM
That is officially cool! Exciting stuff.
Congratulations and Welcome, Lilian!
August 26, 2025 at 6:50 PM
Congratulations and Welcome, Lilian!
Splendid! Fascinating work.
August 20, 2025 at 6:42 AM
Splendid! Fascinating work.
Reposted by Philip Sulewski
Another Friday feat: Philip Sulewski's (@psulewski.bsky.social) and @thonor.bsky.social's
modelling work. Predictive remapping and allocentric coding as consequences of energy efficiency in RNN models of active vision
Time: Friday, August 15, 2:00 – 5:00 pm,
Location: Poster C112, de Brug & E‑Hall
modelling work. Predictive remapping and allocentric coding as consequences of energy efficiency in RNN models of active vision
Time: Friday, August 15, 2:00 – 5:00 pm,
Location: Poster C112, de Brug & E‑Hall
August 8, 2025 at 2:21 PM
Another Friday feat: Philip Sulewski's (@psulewski.bsky.social) and @thonor.bsky.social's
modelling work. Predictive remapping and allocentric coding as consequences of energy efficiency in RNN models of active vision
Time: Friday, August 15, 2:00 – 5:00 pm,
Location: Poster C112, de Brug & E‑Hall
modelling work. Predictive remapping and allocentric coding as consequences of energy efficiency in RNN models of active vision
Time: Friday, August 15, 2:00 – 5:00 pm,
Location: Poster C112, de Brug & E‑Hall
The P100 is dead, long live the P100. Early responses do not generalise from static viewing to active vision.
🧵Join us for a short tour of how a large-scale MEG dataset collected during active vision made us question it all.
New work with Carmen Amme, Philip Sulewski, Eelke Spaak, Martin Hebart, and Peter König.
www.biorxiv.org/content/10.1...
New work with Carmen Amme, Philip Sulewski, Eelke Spaak, Martin Hebart, and Peter König.
www.biorxiv.org/content/10.1...
November 29, 2024 at 2:06 PM
That is the million-dollar question. The stimulus-relatedness could operate on multiple levels, from a pred. coding style prediction of the incoming input, over coarse-grained visual context-dependent preparation or a general "get ready cortex, some visual input will follow"
November 2, 2024 at 6:04 AM
That is the million-dollar question. The stimulus-relatedness could operate on multiple levels, from a pred. coding style prediction of the incoming input, over coarse-grained visual context-dependent preparation or a general "get ready cortex, some visual input will follow"