Johannes Singer

Adaptive recruitment of cortex-wide recurrence for visual object recognition

The paper tests the adaptive recurrence hypothesis by comparing fMRI and EEG responses to images recognized by humans but differing in their solvability by a feedforward deep neural network, finding that parieto-frontal networks are recruited when ventral stream processing is insufficient.

Layer-specific spatiotemporal dynamics of feedforward and feedback in human visual object perception

The paper identifies spatiotemporal dynamics of feedforward and feedback signals in human visual cortex using fMRI and EEG, revealing their functional roles in object perception.

Identifying and characterizing scene representations relevant for categorization behavior

The paper identifies and characterizes brain representations of scenes relevant for categorization behavior across different tasks using fMRI and deep neural networks.

The representational nature of spatio-temporal recurrent processing in visual object recognition

This study investigates how recurrent processing contributes to visual object recognition by analyzing EEG and fMRI data, revealing its role in shaping visual representations across the ventral visual stream.

Spatio-Temporal Dynamics of Oscillatory Brain Activity during the Observation of Actions and Interactions between Point-light Agents

The paper investigates the neural correlates of cognitive processes during social interactions using EEG, revealing dynamic patterns in brain activity related to action observation and predictive coding.

The spatiotemporal neural dynamics of object recognition for natural images and line drawings

The paper investigates how the brain processes natural images and line drawings, finding shared neural mechanisms across different levels of visual abstraction.