Matteo Visconti di Oleggio Castello

About Matteo Visconti di Oleggio Castello

Matteo Visconti di Oleggio Castello, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of cognitive neuroscience, fmri, brain imaging, encoding models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling naturalistic face processing in humans with deep convolutional neural networks

Model connectivity: leveraging the power of encoding models to overcome the limitations of functional connectivity

Dynamic, naturalistic faces embedded in a narrative elicit responses in the distributed face processing system

Functional imaging of the anterior temporal lobe: effects of acceleration, multi-echo acquisition, and reconstruction methods

Shared neural codes for visual and semantic information about familiar faces in a common representational space

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity

The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Matteo Visconti di Oleggio Castello Information

University

Position

Postdoctoral Scholar

Citations(all)

711

Citations(since 2020)

594

Cited By

290

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Matteo Visconti di Oleggio Castello Skills & Research Interests

cognitive neuroscience

fmri

brain imaging

encoding models

Top articles of Matteo Visconti di Oleggio Castello

Modeling naturalistic face processing in humans with deep convolutional neural networks

Proceedings of the National Academy of Sciences

2023/10/24

Matteo Visconti Di Oleggio Castello
Matteo Visconti Di Oleggio Castello

H-Index: 8

Model connectivity: leveraging the power of encoding models to overcome the limitations of functional connectivity

bioRxiv

2023

Emily X Meschke
Emily X Meschke

H-Index: 3

Matteo Visconti Di Oleggio Castello
Matteo Visconti Di Oleggio Castello

H-Index: 8

Dynamic, naturalistic faces embedded in a narrative elicit responses in the distributed face processing system

Journal of Vision

2022/12/5

Functional imaging of the anterior temporal lobe: effects of acceleration, multi-echo acquisition, and reconstruction methods

International Society for Magnetic Resonance in Medicine

2021

Matteo Visconti Di Oleggio Castello
Matteo Visconti Di Oleggio Castello

H-Index: 8

Shared neural codes for visual and semantic information about familiar faces in a common representational space

Proceedings of the National Academy of Sciences

2021/11/9

Matteo Visconti Di Oleggio Castello
Matteo Visconti Di Oleggio Castello

H-Index: 8

Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity

NeuroImage

2021/3/21

Matteo Visconti Di Oleggio Castello
Matteo Visconti Di Oleggio Castello

H-Index: 8

An fMRI dataset in response to “The Grand Budapest Hotel”, a socially-rich, naturalistic movie

Scientific Data

2020/11/11

Matteo Visconti Di Oleggio Castello
Matteo Visconti Di Oleggio Castello

H-Index: 8

Vassiki Chauhan
Vassiki Chauhan

H-Index: 2

See List of Professors in Matteo Visconti di Oleggio Castello University(University of California, Berkeley)

Co-Authors

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