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
📢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🔵🔴
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
📢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🔵🔴
speaker series is back! Come join us in our next appointment 18th December 4 pm CET with @meenakshikhosla.bsky.social
and Raj Magesh Gauthaman🔵🔴
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
doi.org/10.1523/JNEU...
with Beth Rispoli, Vinai Roopchansingh & @cibaker.bsky.social
December 11, 2025 at 5:13 PM
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
doi.org/10.1523/JNEU...
with Beth Rispoli, Vinai Roopchansingh & @cibaker.bsky.social
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
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...