activity
20242026
collaborators

7 papers

q-bio.NC2026

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…

q-bio.NC2026

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…

cs.CR2026

NESSiE: The Necessary Safety Benchmark -- Identifying Errors that should not Exist

Johannes Bertram, Jonas Geiping

We introduce NESSiE, the NEceSsary SafEty benchmark for large language models (LLMs). With minimal test cases of information and access security, NESSiE reveals safety-relevant fai…

q-bio.NC2026

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…

q-bio.NC2025

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…

cs.HC2024

Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI

Elisa Nguyen, Johannes Bertram, Evgenii Kortukov +2

Explainable AI (XAI) aims to make AI systems more transparent, yet many practices emphasise mathematical rigour over practical user needs. We propose an alternative to this model-c…

cs.AI2024

Quick and Accurate Affordance Learning

Fedor Scholz, Erik Ayari, Johannes Bertram +1

Infants learn actively in their environments, shaping their own learning curricula. They learn about their environments' affordances, that is, how local circumstances determine how…