Jens-Bastian Eppler

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 shows that random connectivity in neural networks preserves representational similarity despite activity drift, applicable to biological circuits.

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