Matteo Visconti di Oleggio Castello

The paper investigates how attention modulates visual-semantic representations in the cerebellum using fMRI and encoding models, finding significant tuning shifts in specific cerebellar regions.

Hyperface provides a naturalistic fMRI dataset for studying human face processing under ecologically valid conditions and enables benchmarking computational models against human brain responses.

This paper develops a statistical framework to measure individual differences in conceptual brain representations using fMRI and finds that these differences are systematic and highest in social information processing regions.

This study compares representational geometries of deep convolutional neural networks, human cognition, and brain activity during naturalistic face processing and finds that late-intermediate layers better match cognitive and neural geometries than late layers.

This paper introduces model connectivity as a method to recover functional brain networks by analyzing encoding model weights, showing it outperforms functional connectivity in noise robustness and interpretability.

This study finds that familiar faces lead to faster and more accurate detection of angry expressions compared to unfamiliar faces, while happy expressions are detected similarly.

This paper introduces hybrid hyperalignment, a method that aligns both neural response and functional connectivity data across brains using a single model, showing improved alignment for both types of data compared to previous methods.

The paper describes and shares an fMRI dataset from 25 subjects watching 'The Grand Budapest Hotel', focusing on social interactions and face processing.

This study investigates retinotopic bias in face identity recognition, finding that familiarity reduces spatial variability in recognition responses across visual field locations.

This study uses fMRI and multivariate pattern analysis to show that familiarity and face identity are represented in overlapping and distinct regions of the core and extended face processing systems.

This study investigates whether feature-based face processing facilitates detection of familiar faces, finding that familiarity aids both target detection and distractor rejection, even when faces are inverted.

The paper investigates how attention affects the discriminability of distributed neural representations for behavior and taxonomy in humans.