Hansjörg Scherberger

The paper analyzes information processing dynamics in macaque brain areas during a grasping task, showing dynamic inter-area processing and neuron-level reconfiguration based on cognitive demands.

A survey of the German neuroscience community identifies key barriers to reproducible research and outlines strategies for improving research data management.

The paper develops a mathematical model explaining interareal coherence in brain signals as a result of connectivity and oscillatory synchronization, rather than spiking entrainment.

This study develops a modular neural network model to simulate grasp movement generation in macaques by mimicking the anatomical circuit and using visual features to generate muscle dynamics.

The paper investigates how preparation time affects grasping movements in macaques by analyzing neural activity in premotor and parietal cortex, revealing distinct dynamics in movement anticipation and execution.

This study investigates how grasp and laterality-related information is encoded in the macaque fronto-parietal network during a delayed grasping task.