5 papers
Bracketing Uncertainty in Clustering Under the Manifold Hypothesis
Savik Kinger, Luciano Dyballa, Steven W. Zucker
The manifold hypothesis suggests a natural criterion for clustering: partition data according to the manifold component from which each point is drawn. Whether two components are s…
Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience
Johannes Bertram, Luciano Dyballa, T. Anderson Keller +2
RSA and CKA are standard metrics for comparing neural representations across brain regions, organisms, and deep learning models. We demonstrate a fundamental weakness: these decodi…
Inferring Active Neural Circuits Using Diffusion Scores
Savik Kinger, Johannes Bertram, Luciano Dyballa +2
In biological systems, neural circuits compute through directed, short-latency interactions whose effects unfold across multiple time scales and behavioral contexts. We address the…
How 'Neural' is a Neural Foundation Model?
Johannes Bertram, Luciano Dyballa, Anderson Keller +2
Foundation models have shown remarkable success in fitting biological visual systems; however, their black-box nature inherently limits their utility for understanding brain functi…
Manifolds and Modules: How Function Develops in a Neural Foundation Model
Johannes Bertram, Luciano Dyballa, T. Anderson Keller +2
Foundation models have shown remarkable success in fitting biological visual systems; however, their black-box nature inherently limits their utility for understanding brain functi…