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04心理学经典实验设计介绍与问卷 04心理学经典实验设计介绍与问卷
2. 心理学经典实验范式2.1 传统心理物理法 定义：研究心理量和物理量之间的关系的科学 物理量是指对身体各感官的刺激；心理量是指各种感觉或主观印象。如：亮度（物理量）–明度（心理量）；强度（物理量）–响度（心理量）
2026-05-03 EEG基础
EEG基础
A MoE-LLM-based multisensor flexible fusion fault diagnosis method for rotating machinery A MoE-LLM-based multisensor flexible fusion fault diagnosis method for rotating machinery
No.11标签：MoE 专家机制处理不同传感器组合，让 LLM 输出故障诊断结果和文字解释前言《A MoE-LLM-based multisensor flexible fusion fault diagnosis method for r
2026-04-28 deep learning papers
Mixture of Experts (MoE) LLM fault diagnosis
Real-Time Driver Cognitive Workload Recognition Attention-Enabled Learning With Multimodal Information Fusion Real-Time Driver Cognitive Workload Recognition Attention-Enabled Learning With Multimodal Information Fusion
No.10标签：多模态信息融合与注意力机制用于驾驶员认知工作负荷实时识别前言《Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With
2026-04-17 deep learning papers
Driver Cognitive Workload multi-modal fusio: EEG+Eye movement+Vehicle state
Preliminary Study on Rapid Serial Visualization Presentation Multi-Class Target EEG Classification Preliminary Study on Rapid Serial Visualization Presentation Multi-Class Target EEG Classification
No.9标签：多类别目标RSVP-EEG分类初步研究前言《Preliminary Study on Rapid Serial Visualization Presentation Multi-Class Target EEG Classif
2026-04-08 deep learning papers
multi-class classification RSVP-EEG
Exploring EEG and eye movement fusion for multi-class target RSVP-BCI Exploring EEG and eye movement fusion for multi-class target RSVP-BCI
No.8标签：多类别目标RSVP-BCI、EEG与眼动融合、信息融合、脑机接口前言《Exploring EEG and eye movement fusion for multi-class target RSVP-BCI》期刊：Infor
2026-04-08 deep learning papers
eye movement EEG multi-modal fusion
Attention-Based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine From MR Images Attention-Based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine From MR Images
No.7标签：腰椎几何重构深度学习框架（磁共振图像）前言《Attention-Based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lum
2026-04-03 deep learning papers
medical image processing
Hybrid Source Selection Fusion Domain-invariant Attention for Cross-subject Emotion Recognition Hybrid Source Selection Fusion Domain-invariant Attention for Cross-subject Emotion Recognition
No.6标签：三通道跨被试注意力机制情感识别前言《Hybrid Source Selection Fusion Domain-invariant Attention for Cross-subject Emotion Recognition
2026-03-10 deep learning papers
Cross-subject Emotion Recognition
03脑电实验设计注意事项 03脑电实验设计注意事项
第三课时：脑电实验设计注意事项1.实验设计1.1 试次间隔1.5s-2s，过短会导致重叠混淆 1.2 试次比例1:1，无特殊需求，建议1:1 1.3 材料1.3.1 材料特征目标和非目标过于接近，在oddball范式中会导致被试难以区分
2026-03-08 EEG基础
EEG基础
超声脑机接口相关知识积累 超声脑机接口相关知识积累
超声脑机接口相关知识一、聚焦超声脑机接口的神经调控技术：神经治疗的突破口近年来，随着脑机接口（BCI）技术的飞速发展，神经调控技术逐渐成为神经科学研究的热点领域。**聚焦超声（FUS）**作为一种非侵入性的神经调控技术，凭借其高效、精准和无
2026-02-23 学习
学习
视觉信息整合加工的结构基础：视觉的“双通路理论” 视觉信息整合加工的结构基础：视觉的“双通路理论”
视觉信息整合加工的结构基础:视觉的“双通路理论”公众号文章地址：https://mp.weixin.qq.com/s/1khKo_mAPICVcl2j3QDOOA 在视觉加工中，大脑最核心的工作机制之一就是视觉双通路理论。它指出：视觉信息进
2026-02-02 大模型学习
大模型学习
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