Benjamin Peters

The paper introduces an open-source Python toolbox for representational similarity analysis, providing tools to evaluate neural representations and models.

This study shows that external cues improve visual working memory in schizophrenia when salient distractors are present, suggesting preserved top-down attention guidance despite attentional control deficits.

This paper investigates whether iterative convergent computation improves ResNets but finds it does not enhance classification accuracy on standard or challenging visual tasks.

This study shows that cortex-based macroanatomical alignment improves the consistency and statistical power of fMRI visual field localizer data in group analyses.

The paper shows that object-based attention in working memory oscillates at a theta rhythm, with anti-phase relationships between attended and unattended positions.

The paper shows that serial dependence in visual memory is enhanced when objects share context features across memory episodes, supporting stable object representations.