Evelyn Eger

The paper identifies a nonlinear neural code for event probability in the human brain using fMRI, showing distinct tuning curves in prefrontal and parietal cortices.

This study uses MEG and fMRI to show that numerosity is encoded rapidly in the brain, with early linear and later curved representations reflecting different coding schemes.

This study shows that deep convolutional neural networks encode approximate numerosity across diverse objects and scenes, suggesting a potential mechanism for number sense in both biological and artificial systems.

The paper investigates how numerosity is represented in the brain using fMRI, finding distinct neural geometries in different cortical regions.

This study uses ultra-high-field brain imaging to show that internally generated numerical outcomes are represented in higher-order brain regions during approximate calculation tasks.

This study identifies cortical regions involved in representing confidence during probabilistic learning using a dynamic task and MRI.

This study investigates whether excessive visual crowding effects are present in developmental dyscalculia (DD) and whether they are independent of other developmental deficits.

This study maps numerical perception and operations in human parietal cortex using high-resolution fMRI, revealing distinct functional regions for numerosity perception and numerical operations.

The paper shows that numerosity is processed independently of other dimensions in the dorsal visual stream and is amplified by attention.

The paper examines how well fMRI activity patterns in human intra-parietal cortex can decode numerosity and relates this to individual differences in numerical discrimination ability.

This study shows dyscalculics show asymmetrical interference between number and item size perception, suggesting a domain-specific impairment rather than a general inhibition deficit.