Paul Sajda

Paul Sajda

Columbia University in the City of New York

H-index: 52

North America-United States

About Paul Sajda

Paul Sajda, With an exceptional h-index of 52 and a recent h-index of 34 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of neural engineering, neuroengineering, neuroimaging, machine learning.

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

PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments

Optimization of Trading Performance Using Both Brain State Models and Operational Performance Models

Brain synchronization as a predictive factor in depression treatment given EEG-synchronized rTMS

Identifying and Strengthening Physiological/Neurophysiological States Predictive of Superior Performance

Uncovering Invariant Representations in Functional Neuroimaging with Deep Metric Learning

CLOSED-LOOP SIMULTANEOUS FUNCTIONAL MAGNETIC RESONANCE IMAGING (fMRI)-ELECTROENCEPHALOGRAM (EEG)-TRANSCRANIAL MAGNETIC STIMULATION (TMS) SYSTEM

Roe: A computational-efficient anti-hallucination fine-tuning technology for large language model inspired by human learning process

Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI

Paul Sajda Information

University

Position

___

Citations(all)

11350

Citations(since 2020)

4254

Cited By

8731

hIndex(all)

52

hIndex(since 2020)

34

i10Index(all)

152

i10Index(since 2020)

90

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Paul Sajda Skills & Research Interests

neural engineering

neuroengineering

neuroimaging

machine learning

Top articles of Paul Sajda

Title

Journal

Author(s)

Publication Date

PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments

Journal of Open Source Software

Ziwen Xie

Yunxiang Peng

June Pyo Suh

Steven Feiner

Paul Sajda

2024/1/11

Optimization of Trading Performance Using Both Brain State Models and Operational Performance Models

2024/1/4

Brain synchronization as a predictive factor in depression treatment given EEG-synchronized rTMS

Bulletin of the American Physical Society

Xiaoxiao Sun

Jayce Doose

Josef Faller

James McIntosh

Golbarg Saber

...

2024/3/6

Identifying and Strengthening Physiological/Neurophysiological States Predictive of Superior Performance

2023/10/5

Uncovering Invariant Representations in Functional Neuroimaging with Deep Metric Learning

bioRxiv

Arunesh Mittal

Xiaoxiao Sun

John Paisley

Paul Sajda

2023

CLOSED-LOOP SIMULTANEOUS FUNCTIONAL MAGNETIC RESONANCE IMAGING (fMRI)-ELECTROENCEPHALOGRAM (EEG)-TRANSCRANIAL MAGNETIC STIMULATION (TMS) SYSTEM

2023/5/11

Roe: A computational-efficient anti-hallucination fine-tuning technology for large language model inspired by human learning process

Xueqing Liu

Paul Sajda

2023/8/1

Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI

Linbi Hong

Hengda He

Paul Sajda

2023/9/10

Circular Clustering with Polar Coordinate Reconstruction

arXiv preprint arXiv:2309.08757

Xiaoxiao Sun

Paul Sajda

2023/9/15

Closed-loop phase-locked rTMS treatment decreases global cortical excitability in major depressive disorder patients

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

Xiaoxiao Sun

Jayce Doose

Josef Faller

James Mclntosh

Golbarg Saber

...

2023/1/1

Neurophysiological markers of emotion regulation predict efficacy of entrepreneurship education

Scientific reports

Pablo Egana-delSol

Xiaoxiao Sun

Paul Sajda

2023/5/3

Latent neural source recovery via transcoding of simultaneous eeg-fmri

Xueqing Liu

Paul Sajda

2023/8/1

Reciprocal Dyadic Affective Interaction: from Facial Expressions to Brain Networks

Ray Lee

Joshua Friedman

Paul Sajda

Nim Tottenha

2023/9/10

Check for updates Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI

Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings

Xueqing Liu

Paul Sajda

2023/9/12

Whole-brain analysis of concurrent tms-eeg-fmri reveals brain-wide state-dependent tms effects

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

Hengda He

Xiaoxiao Sun

Jayce Doose

Aidan Blankenship

James Mclntosh

...

2023/1/1

The timing of transcranial magnetic stimulation relative to the phase of prefrontal alpha EEG modulates downstream target engagement

Brain Stimulation

Spiro P Pantazatos

James R Mclntosh

Golbarg T Saber

Xiaoxiao Sun

Jayce Doose

...

2023/5/1

Unsupervised sparse-view backprojection via convolutional and spatial transformer networks

Xueqing Liu

Paul Sajda

2023/8/1

Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions

Journal of Neural Engineering

Sharath Koorathota

Jia Li Ma

Josef Faller

Linbi Hong

Pawan Lapborisuth

...

2023/12/15

Pupil-linked arousal modulates network-level EEG signatures of attention reorienting during immersive multitasking

Journal of Neural Engineering

Pawan Lapborisuth

Sharath Koorathota

Paul Sajda

2023/8/31

Check for updates Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model

Brain Informatics: 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1–3, 2023, Proceedings

Xueqing Liu

Paul Sajda

2023/9/12

See List of Professors in Paul Sajda University(Columbia University in the City of New York)

Co-Authors

H-index: 156
Klaus-Robert Müller

Klaus-Robert Müller

Technische Universität Berlin

H-index: 134
Shih-Fu Chang

Shih-Fu Chang

Columbia University in the City of New York

H-index: 77
X. Edward Guo

X. Edward Guo

Columbia University in the City of New York

H-index: 74
Truman Brown

Truman Brown

Medical University of South Carolina

H-index: 58
Dikoma C Shungu, Ph.D.

Dikoma C Shungu, Ph.D.

Cornell University

H-index: 28
Marios G. Philiastides

Marios G. Philiastides

University of Glasgow

academic-engine