John Magnotti

John Magnotti

University of Pennsylvania

H-index: 20

North America-United States

About John Magnotti

John Magnotti, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Audiovisual Speech Perception, Statistical Software, Data Visualization, Comparative Cognition.

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

Pupil-linked arousal reflects intracranial aperiodic neural activity in the human auditory cortex

Repeatedly experiencing the McGurk effect induces long-lasting changes in auditory speech perception

The Noisy Encoding of Disparity Model Predicts Perception of the McGurk Effect in Native Japanese Speakers

The Effect on Speech-in-Noise Perception of Real Faces and Synthetic Faces Generated with either Deep Neural Networks or the Facial Action Coding System

Benefits of sharing neurophysiology data from the BRAIN Initiative Research Opportunities in Humans Consortium

A comparison of neuroelectrophysiology databases

YAEL: Your Advanced Electrode Localizer

Intracranial stimulation and EEG feature analysis reveal affective salience network specialization

John Magnotti Information

University

Position

Perelman School of Medicine at the

Citations(all)

1328

Citations(since 2020)

956

Cited By

744

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

24

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

John Magnotti Skills & Research Interests

Audiovisual Speech Perception

Statistical Software

Data Visualization

Comparative Cognition

Top articles of John Magnotti

Pupil-linked arousal reflects intracranial aperiodic neural activity in the human auditory cortex

2024/4/30

Repeatedly experiencing the McGurk effect induces long-lasting changes in auditory speech perception

Communications Psychology

2024/4/3

The Noisy Encoding of Disparity Model Predicts Perception of the McGurk Effect in Native Japanese Speakers

bioRxiv

2024

John Magnotti
John Magnotti

H-Index: 15

The Effect on Speech-in-Noise Perception of Real Faces and Synthetic Faces Generated with either Deep Neural Networks or the Facial Action Coding System

bioRxiv

2024

Benefits of sharing neurophysiology data from the BRAIN Initiative Research Opportunities in Humans Consortium

2023/12/6

A comparison of neuroelectrophysiology databases

2023/10/19

YAEL: Your Advanced Electrode Localizer

Eneuro

2023/10/1

Intracranial stimulation and EEG feature analysis reveal affective salience network specialization

Brain

2023/10

Multivariate fMRI responses in superior temporal cortex predict visual contributions to, and individual differences in, the intelligibility of noisy speech

NeuroImage

2023/9/1

Properties of iconic and visuospatial working memory in pigeons and humans using a location change-detection procedure

Learning & Behavior

2023/9

John Magnotti
John Magnotti

H-Index: 15

Using predictive validity to compare associations between brain damage and behavior

Human Brain Mapping

2023/9

Functional group bridge for simultaneous regression and support estimation

Biometrics

2023/6

Gamma knife capsulotomy for intractable OCD: Neuroimage analysis of lesion size, location, and clinical response

Translational Psychiatry

2023/4/26

506 Fingerprinting the Epileptogenic Zone in RAVE

Neurosurgery

2023/4/1

Spatial normalization discrepancies between native and MNI152 brain template scans in gamma ventral capsulotomy patients

Psychiatry Research: Neuroimaging

2023/3/1

Predictive value of magnetoencephalography in guiding the intracranial implant strategy for intractable epilepsy

Journal of Neurosurgery

2022/3/18

concept learning in two species of new world corvids, pinyon jays (Gymnorhinus Cyanocephalus) and California scrub jays (Aphelocoma Californica).

Journal of Experimental Psychology: Animal Learning and Cognition

2021/7

Interpretable visualization and higher-order dimension reduction for ECoG data

2020/12/10

Weak observer–level correlation and strong stimulus-level correlation between the McGurk effect and audiovisual speech-in-noise: A causal inference explanation

Cortex

2020/12/1

RAVE: Comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data

Neuroimage

2020/12/1

See List of Professors in John Magnotti University(University of Pennsylvania)

Co-Authors

academic-engine