Johannes Balkenhol

This paper introduces a plasmonic metasurface for enhanced cellular imaging using self-supervised learning, improving image quality without requiring large datasets or complex equipment.

The paper identifies a CDK1-CDKN1A-WEE1 bottleneck in gemcitabine resistance using trajectory-coupled network analysis in PDAC models and patient data.

The paper simulates non-local information processing in associative brain regions using holographic wave patterns and compares results with electrophysiology and EEG data.

The paper shows platelet signaling cascades are complex decision problems solved efficiently using heuristics, leading to fast responses but potential chronic inflammation under stress.

A neural model of non-local information processing on a neocolumnar architecture replicates electrophysiological data from primates, showing high-frequency activity during visual perception.

The paper examines how biological cells make fast, risky decisions that contribute to inflammation and cancer, drawing parallels to computational strategies for solving complex problems.