Mick Bonner
mickbonner.bsky.social
Mick Bonner
@mickbonner.bsky.social
Assistant Professor of Cognitive Science at Johns Hopkins. My lab studies human vision using cognitive neuroscience and machine learning. bonnerlab.org
Pinned
Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude. journals.plos.org/ploscompbiol...
Reposted by Mick Bonner
Spread the word: I'm looking to hire a postdoc to explore the concept of attention (as studied in psych/neuro, not the transformer mechanism) in large Vision-Language Models. More details here: lindsay-lab.github.io/2025/12/08/p...
#MLSky #neurojobs #compneuro
Lindsay Lab - Postdoc Position
Artificial neural networks applied to psychology, neuroscience, and climate change
lindsay-lab.github.io
December 8, 2025 at 11:53 PM
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:
December 15, 2025 at 6:45 PM
Hopkins Cog Sci is hiring! We have two open faculty positions: one in vision, and one language. Please repost!
December 12, 2025 at 6:18 PM
Reposted by Mick Bonner
📢The UniReps x @ellis.eu
speaker series is back! Come join us in our next appointment 18th December 4 pm CET with @meenakshikhosla.bsky.social
and Raj Magesh Gauthaman🔵🔴
December 12, 2025 at 10:48 AM
Reposted by Mick Bonner
Now out in #JNeurosci -- we found changes in medial parietal cortex after manual exploration of everyday real-world objects

doi.org/10.1523/JNEU...

with Beth Rispoli, Vinai Roopchansingh & @cibaker.bsky.social
December 11, 2025 at 5:13 PM
Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude. journals.plos.org/ploscompbiol...
December 11, 2025 at 3:32 PM