:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Morales-Cervantes, Antony, Herrera, Victor, Zamora-Mendoza, Blanca Nohemí, Flores-Ramírez, Rogelio, Guevara, Edgar
Format:	Recurso digital
Language:
Published:	Zenodo 2024
Online Access:	https://doi.org/10.5281/zenodo.13363443
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Calibration of Deep Learning Classification Models in fNIRS
by: Cao, Zhihao, et al.
Published: (2024)

Facebook Report on Privacy of fNIRS data
by: Hossen, Md Imran, et al.
Published: (2024)

A Compact and Efficient fNIRS Design - Repository
by: Gigantino, Joseph
Published: (2023)

Block-As-Domain Adaptation for Workload Prediction from fNIRS Data
by: Wang, Jiyang, et al.
Published: (2024)

High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation
by: Eastmond, Condell, et al.
Published: (2026)

Progress Towards Decoding Visual Imagery via fNIRS
by: Adamic, Michel, et al.
Published: (2024)

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
by: Khan, Mehshan Ahmed, et al.
Published: (2024)

Advancing fNIRS Neuroimaging through Synthetic Data Generation and Machine Learning Applications
by: Waks, Eitan
Published: (2024)

fNIRS as a biomarker for individuals with subjective memory complaints and MCI
by: Tsz‐lok Lee, et al.
Published: (2024)

Leveraging fNIRS to Evaluate Workload for Adaptive Training in Virtual Reality
by: Spencer, Cara A., et al.
Published: (2026)

Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals
by: Sharmin, Shayla, et al.
Published: (2025)

From Complexity to Simplicity: Using Python Instead of PsychoPy for fNIRS Data Collection
by: Sharmin, Shayla, et al.
Published: (2024)

A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery
by: Feng, Lufeng, et al.
Published: (2026)

Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
by: Yang, Chengkai, et al.
Published: (2025)

The fNIRS Landscape of ADHD: Device Specifications, Neural Markers, and AI Classification
by: Tianxin Gao, et al.
Published: (2026)

Distinct Cortical Activation in Adolescents With Social Anxiety Disorder: An fNIRS Study
by: Huishan Liu, et al.
Published: (2026)

MECASA: Motor Execution Classification using Additive Self-Attention for Hybrid EEG-fNIRS Data
by: Siddhad, Gourav, et al.
Published: (2025)

Functional Near-Infrared Spectroscopy (fNIRS) Analysis of Interaction Techniques in Touchscreen-Based Educational Gaming
by: Sharmin, Shayla, et al.
Published: (2024)

fNIRS Changes in the Middle Temporal and Occipital Cortices After a Cochlear Implant
by: Wanyi Huang, et al.
Published: (2024)

Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
by: Cao, Zhihao
Published: (2024)

Determination of Hemodynamic Response Using fNIRS in Lower Extremity Amputee and Replant Patients
by: Esra Süzen, et al.
Published: (2025)

Unveiling Cognitive Interference: fNIRS Insights Into Poststroke Aphasia During Stroop Tasks
by: Chong Lu, et al.
Published: (2025)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)

Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
by: Lai, Zhili, et al.
Published: (2024)

Identifying biomarkers related to motor function in chronic stroke: A fNIRS and TMS study
by: Guiyuan Cai, et al.
Published: (2024)

Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
by: Adeli, Behtom, et al.
Published: (2025)

Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
by: Santaniello, Julia, et al.
Published: (2025)

Investigating Brain Connectivity and Information Flow in Mental Workload Using EEG and fNIRS Integration
by: Qaremohammadlou, Mohaddese, et al.
Published: (2025)

Developing Best Practices for Inclusion in fNIRS Research: Equity for Participants With Afro‐Textured Hair
by: Abria S. Simmons, et al.
Published: (2026)

Mapping Motor Learning Stages: A Longitudinal fNIRS‐Based Assessment of Cortical Activation
by: Xiaoli Li, et al.
Published: (2025)

An Interpretable Transformer-Based Foundation Model for Cross-Procedural Skill Assessment Using Raw fNIRS Signals
by: Subedi, A., et al.
Published: (2025)

Multimodal Brain Network Analysis of Resting‐State fNIRS Reveals Cortical Compensation and Integration Imbalance in Acute Stroke
by: Zhexue Huang, et al.
Published: (2026)

Exploring Neural Correlates between Anxiety and Inhibitory Ability: Evidence from Task‐Based fNIRS
by: Difan Wang, et al.
Published: (2024)

Enhancing Subject-Independent Accuracy in fNIRS-based Brain-Computer Interfaces with Optimized Channel Selection
by: Li, Yuxin, et al.
Published: (2025)

Prefrontal Hemodynamic Response by LMS Cone Activation During Binocular Color Rivalry: An fNIRS Study
by: Xinni Zhang, et al.
Published: (2025)

Identification of Subthreshold Depression Based on fNIRS–VFT Functional Connectivity: A Machine Learning Approach
by: Lin Li, et al.
Published: (2025)

Effect of Teacher–Student Interaction on Language Learning Under Anxiety: An fNIRS‐Based Hyperscanning Study
by: Jiaze Li, et al.
Published: (2025)

Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming
by: Ghalavand, Mohammad, et al.
Published: (2025)

Machine Learning and AI Applied to fNIRS Data Reveals Novel Brain Activity Biomarkers in Stable Subclinical Multiple Sclerosis
by: Islam, Sadman Saumik, et al.
Published: (2025)

A Synchronous EEG-fNIRS BCI: A Proof-of-Concept for Multimodal Avalanche Analysis of Motor Cognition in Older Adults
by: Guttmann-Flury, Eva, et al.
Published: (2026)