Joachim Bellet

The paper investigates how vlPFC encodes visual information in two stages during natural vision, showing an early coarse estimate followed by a rich representation.

This study shows that macaque prefrontal cortex encodes visual sequences by separating specific image content from abstract sequential structure without task demands.

This study shows that foveal visual locations are severely distorted in short-term memory, with the largest errors occurring for the most central targets.

This paper introduces a deep learning algorithm to detect complex spikes in Purkinje cells, achieving expert-level accuracy with faster performance than manual inspection.

This study shows humans and monkeys can voluntarily generate microsaccades on demand without visual guidance or training, with corresponding neural activity in the superior colliculus.

This paper develops a CNN that detects saccades with human-level accuracy, outperforming existing methods and aiding neurophysiological research.