Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
Fuente:
arXiv
Saved in:
| Main Authors: | Adeli, Behtom, McLinden, John, Pandey, Pankaj, Shao, Ming, Shahriari, Yalda |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
by: Adeli, Behtom, et al.
Published: (2025)
by: Adeli, Behtom, et al.
Published: (2025)
Calibration of Deep Learning Classification Models in fNIRS
by: Cao, Zhihao, et al.
Published: (2024)
by: Cao, Zhihao, et al.
Published: (2024)
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
by: Santaniello, Julia, et al.
Published: (2025)
by: Santaniello, Julia, et al.
Published: (2025)
Progress Towards Decoding Visual Imagery via fNIRS
by: Adamic, Michel, et al.
Published: (2024)
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)
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
by: Yang, Chengkai, et al.
Published: (2025)
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)
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)
by: Huishan Liu, et al.
Published: (2026)
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
by: Lai, Zhili, et al.
Published: (2024)
by: Lai, Zhili, et al.
Published: (2024)
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)
by: Li, Yisheng, et al.
Published: (2024)
Facebook Report on Privacy of fNIRS data
by: Hossen, Md Imran, et al.
Published: (2024)
by: Hossen, Md Imran, et al.
Published: (2024)
MindGPT: Advancing Human-AI Interaction with Non-Invasive fNIRS-Based Imagined Speech Decoding
by: Zhang, Suyi, et al.
Published: (2024)
by: Zhang, Suyi, et al.
Published: (2024)
Brain Functional Characteristics in Football Players During Motor‐Cognitive Dual Task: Insights From fNIRS
by: Jiahui Yin, et al.
Published: (2024)
by: Jiahui Yin, et al.
Published: (2024)
A Compact and Efficient fNIRS Design - Repository
by: Gigantino, Joseph
Published: (2023)
by: Gigantino, Joseph
Published: (2023)
Prefrontal Hemodynamic Response by LMS Cone Activation During Binocular Color Rivalry: An fNIRS Study
by: Xinni Zhang, et al.
Published: (2025)
by: Xinni Zhang, et al.
Published: (2025)
Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS
by: Gkikas, Stefanos, et al.
Published: (2024)
by: Gkikas, Stefanos, et al.
Published: (2024)
Mapping Motor Learning Stages: A Longitudinal fNIRS‐Based Assessment of Cortical Activation
by: Xiaoli Li, et al.
Published: (2025)
by: Xiaoli Li, et al.
Published: (2025)
Long-COVID-fNIRS Data Processing and Model Analysis
by: Morales-Cervantes, Antony, et al.
Published: (2024)
by: Morales-Cervantes, Antony, et al.
Published: (2024)
Wearable Music2Emotion : Assessing Emotions Induced by AI-Generated Music through Portable EEG-fNIRS Fusion
by: Zhao, Sha, et al.
Published: (2025)
by: Zhao, Sha, et al.
Published: (2025)
Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals
by: Sharmin, Shayla, et al.
Published: (2025)
by: Sharmin, Shayla, et al.
Published: (2025)
Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
by: Cao, Zhihao
Published: (2024)
by: Cao, Zhihao
Published: (2024)
MindSpeech: Continuous Imagined Speech Decoding using High-Density fNIRS and Prompt Tuning for Advanced Human-AI Interaction
by: Zhang, Suyi, et al.
Published: (2024)
by: Zhang, Suyi, et al.
Published: (2024)
Disrupted Practice Effects and Altered Prefrontal Activation in Mild Cognitive Impairment: An fNIRS Study Using the Stroop Task
by: Jae‐Hoon Lee, et al.
Published: (2025)
by: Jae‐Hoon Lee, et al.
Published: (2025)
Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world
by: Middell, E., et al.
Published: (2026)
by: Middell, E., et al.
Published: (2026)
Block-As-Domain Adaptation for Workload Prediction from fNIRS Data
by: Wang, Jiyang, et al.
Published: (2024)
by: Wang, Jiyang, et al.
Published: (2024)
fNIRS as a biomarker for individuals with subjective memory complaints and MCI
by: Tsz‐lok Lee, et al.
Published: (2024)
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)
by: Spencer, Cara A., et al.
Published: (2026)
MECASA: Motor Execution Classification using Additive Self-Attention for Hybrid EEG-fNIRS Data
by: Siddhad, Gourav, et al.
Published: (2025)
by: Siddhad, Gourav, et al.
Published: (2025)
A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery
by: Feng, Lufeng, et al.
Published: (2026)
by: Feng, Lufeng, et al.
Published: (2026)
High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation
by: Eastmond, Condell, et al.
Published: (2026)
by: Eastmond, Condell, et al.
Published: (2026)
Functional Near-Infrared Spectroscopy (fNIRS) Analysis of Interaction Techniques in Touchscreen-Based Educational Gaming
by: Sharmin, Shayla, et al.
Published: (2024)
by: Sharmin, Shayla, et al.
Published: (2024)
Identification of Subthreshold Depression Based on fNIRS–VFT Functional Connectivity: A Machine Learning Approach
by: Lin Li, et al.
Published: (2025)
by: Lin Li, et al.
Published: (2025)
Exploring Neural Correlates between Anxiety and Inhibitory Ability: Evidence from Task‐Based fNIRS
by: Difan Wang, et al.
Published: (2024)
by: Difan Wang, et al.
Published: (2024)
Lateralization of cortical activity, networks, and hemodynamic lag after stroke: A resting‐state fNIRS study
by: Gongcheng Xu, et al.
Published: (2024)
by: Gongcheng Xu, et al.
Published: (2024)
Integrated Understanding of Interpersonal Neural Synchronization (INS) in Social Interaction: A Systematic Review of fNIRS‐based Hyperscanning Studies
by: Seyeon IN, et al.
Published: (2025)
by: Seyeon IN, et al.
Published: (2025)
Prefrontal Speaker‐Listener Neural Coupling Supports Speech‐in‐Noise Comprehension in Normal‐Hearing Older Adults: An fNIRS Study.
by: Zhuoran Li, et al.
Published: (2026)
by: Zhuoran Li, et al.
Published: (2026)
Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
Effect of Teacher–Student Interaction on Language Learning Under Anxiety: An fNIRS‐Based Hyperscanning Study
by: Jiaze Li, et al.
Published: (2025)
by: Jiaze Li, et al.
Published: (2025)
A Scoping Review of Functional Near-Infrared Spectroscopy (fNIRS) Applications in Game-integrated Learning Systems
by: Sharmin, Shayla, et al.
Published: (2024)
by: Sharmin, Shayla, et al.
Published: (2024)
Neural correlates of fine motor grasping skills: Longitudinal insights into motor cortex activation using fNIRS
by: Xiaoli Li, et al.
Published: (2024)
by: Xiaoli Li, et al.
Published: (2024)
Similar Items
-
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
by: Adeli, Behtom, et al.
Published: (2025) -
Calibration of Deep Learning Classification Models in fNIRS
by: Cao, Zhihao, et al.
Published: (2024) -
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
by: Santaniello, Julia, et al.
Published: (2025) -
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)