Aude Oliva

MOSAIC: A scalable framework for fMRI dataset aggregation and modeling of human vision

MOSAIC aggregates eight fMRI datasets to enable large-scale modeling of human vision, showing improved decoding accuracy with diverse stimuli and joint brain-optimized encoding models.

Touch to text: Spatiotemporal evolution of braille letter representations in blind readers

This study investigates the spatiotemporal evolution of braille letter representations in blind and sighted readers using MEG and pattern analysis, finding slower processing and a transformation from peripheral to high-level representations in blind individuals.

BOLD Moments: modeling short visual events through a video fMRI dataset and metadata

The paper introduces BOLD Moments Dataset (BMD), a video fMRI dataset capturing whole-brain responses to naturalistic videos, and shows its ability to capture temporal dynamics and correlate with video memorability.

Spatiotemporal Dynamics of Sound Representations Reveal a Hierarchical Progression of Category Selectivity

This study reveals a hierarchical progression of category selectivity in sound processing by analyzing spatiotemporal dynamics using MEG and fMRI.

Visual Experience is not Necessary for the Development of Face Selectivity in the Lateral Fusiform Gyrus

The paper shows face-selectivity in the lateral fusiform gyrus of congenitally blind individuals through haptic exploration, indicating visual experience is not required for this selectivity.

Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks

This study shows that layers in deep convolutional neural networks exhibit spatial organization similar to human brain regions, with central and peripheral biases matching foveal and parahippocampal areas.

A novel source of variation in IT population response magnitude predicts image memorability

The paper shows that the magnitude of neural responses in the inferotemporal cortex correlates with image memorability, independent of object identity coding.

The Perceptual Neural Trace of Memorable Unseen Scenes

The paper identifies an early and prolonged neural signal of memorability during visual processing using MEG, detected outside subjective awareness.

Reliability and Generalizability of Similarity-Based Fusion of MEG and fMRI Data in Human Ventral and Dorsal Visual Streams

This study evaluates the reliability and generalizability of fMRI-MEG data fusion using representational similarity analysis in human visual streams.

Image Memorability In The Eye Of The Beholder: Tracking The Decay Of Visual Scene Representations

The paper investigates how image memorability affects memory decay and cognitive load during retrieval, showing that low memorable images are forgotten faster and require more cognitive effort.

Similarity-based fusion of MEG and fMRI reveals spatio-temporal dynamics in human cortex during visual object recognition

Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks

This study uses MEG and deep neural networks to show that spatial layout processing in scene recognition occurs around 250ms and is captured by a deep neural network model.