Simon Rumpel

This study investigates how the brain represents information content in sensory experience and links it to boredom-related behavior across humans and mice.

The paper investigates how Hebbian-like plasticity and stochastic synaptic changes contribute to representational drift in mouse auditory cortex neurons.

The paper shows that the structure of a representational map in the auditory cortex is temporarily disrupted by neuron loss but recovers through plasticity of previously unresponsive neurons.

This study introduces STARR-CRAAVT, a platform to identify cell type-specific enhancers for gene therapy, showing promoter preference and enhancer positioning significantly affect activity.

This study uses AID2 technology to rapidly eliminate synaptic proteins and observe acute effects on receptor localization and scaffold size in neurons.

This paper develops a deep learning pipeline for automated dendritic spine detection in 3D live cell imaging data, achieving near-human performance without retraining.

This study shows that chromatin reorganizes at the nucleus scale in neurons in response to stimuli, enabling rapid transcriptional changes for memory consolidation.

The paper shows that cortical recruitment in mice correlates with salience in reinforcement learning, demonstrating its role in stimulus association and overshadowing.