Wolfger von der Behrens

The paper develops a thalamocortical network model to explain novelty detection through synaptic depression in cortical layer 6 and thalamic oscillations, showing similarity to EEG-based mismatch negativity.

This paper presents a feasibility study for real-time classification of extra-cellular neural recordings using low-power VLSI systems and spike-based neuromorphic circuits.

This paper develops an electrocorticography-based system to monitor anaesthetic depth in mice using gradient boosting regression, achieving real-time tracking with ten-second latency.

This paper introduces a deep learning pipeline for tracking and classifying behaviors of interacting primates and mice in complex environments using video data.