Florentin Wörgötter

This paper introduces an extended meta-plasticity mechanism that stabilizes synaptic weights and activity levels while enabling adaptation to changing environments.

PriMAT tracks and identifies primates in the wild using bounding boxes, achieving 84% accuracy in lemur identification with minimal labeled data.

The paper analyzes gaze and hand movement patterns in leader-follower interactions during a cooperative manipulation task, finding distinct decision-making strategies between roles.

This study investigates human strategies for assessing object fit in a Tetris-like game, finding three gaze-based strategies related to object configuration complexity.

This paper introduces an unsupervised learning mechanism that enables neurons to specialize in feature combinations, showing convergence to specific representations through a correlation-based learning rule.

This paper applies differential Hebbian learning to active noise reduction, achieving up to -140 dB noise elimination in multi-microphone systems.

This study uses a 3D model to show how actin polymerization increases membrane tension in dendritic spines, triggering exocytosis and subsequent spine stabilization.

The paper develops a biophysical model to link actin dynamics to synaptic spine shape fluctuations, showing that discrete polymerization foci drive membrane changes.

The paper shows that multi-synapse connections can store information robustly despite synaptic turnover, matching experimental data on dendritic spines in mice.

This paper demonstrates how synaptic plasticity and synaptic scaling self-organize neural networks into computationally powerful assemblies for complex task execution.