Orrin Devinsky

Orcid: 0000-0003-0044-4632

According to our database1, Orrin Devinsky authored at least 24 papers between 2007 and 2024.

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Bibliography

2024
Temporal dynamics of short-term neural adaptation across human visual cortex.
PLoS Comput. Biol., 2024

A neural speech decoding framework leveraging deep learning and speech synthesis.
Nat. Mac. Intell., 2024

2023
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Dataset, November, 2023

The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.
CoRR, 2023

2022
Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states.
PLoS Comput. Biol., 2022

Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability.
NeuroImage, 2022

2021
Algebraic relationship between the structural network's Laplacian and functional network's adjacency matrix is preserved in temporal lobe epilepsy subjects.
NeuroImage, 2021

An Intracranial Electrophysiology Study of Visual Language Encoding: The Contribution of the Precentral Gyrus to Silent Reading.
J. Cogn. Neurosci., 2021

Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2021

2018
Functional brain connectivity is predictable from anatomic network's Laplacian eigen-structure.
NeuroImage, 2018

2017
Parahippocampal and Entorhinal Resection Extent Predicts Verbal Memory Decline in an Epilepsy Surgery Cohort.
J. Cogn. Neurosci., 2017

2016
Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients.
J. Mach. Learn. Res., 2016

Network Analysis on Predicting Mean Diffusivity Change at Group Level in Temporal Lobe Epilepsy.
Brain Connect., 2016

Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy.
Proceedings of the 1st Machine Learning in Health Care, 2016

A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Hidden-Markov Factor Analysis as a spatiotemporal model for electrocorticography.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Neural correlates to automatic behavior estimations from RGB-D video in epilepsy unit.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Estimating function from structure in epileptics using graph diffusion model.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Comparison of human septal nuclei MRI measurements using automated segmentation and a new manual protocol based on histology.
NeuroImage, 2014

Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
Localization of dense intracranial electrode arrays using magnetic resonance imaging.
NeuroImage, 2012

2010
Multimodal imaging of repetition priming: Using fMRI, MEG, and intracranial EEG to reveal spatiotemporal profiles of word processing.
NeuroImage, 2010

Phonetically irregular word pronunciation and cortical thickness in the adult brain.
NeuroImage, 2010

2007
Cortical abnormalities in epilepsy revealed by local EEG synchrony.
NeuroImage, 2007


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