作者: laceration 時(shí)間: 2025-3-21 23:07
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classificational Patterns are the most widely used algorithm that is very sensitive to artifacts and prone to overfitting. Here, we develop a metric to assess the relevance of Common Spatial Patterns using a mapping through Kernel Principal Component Analysis with the benefit of improved interpretation that allow作者: moratorium 時(shí)間: 2025-3-22 03:44 作者: cravat 時(shí)間: 2025-3-22 08:36 作者: 安定 時(shí)間: 2025-3-22 12:44 作者: 過(guò)多 時(shí)間: 2025-3-22 16:28
Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRIrather than on the details of graph adjustment that cause topological metric changes, such as significant adjusted route and the nodes on it. In this paper, we first used the brain atlas of Dosenbach to generate the functional brain networks of the 21 participants recruited in the mental arithmetic 作者: Trochlea 時(shí)間: 2025-3-22 18:29
Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRIfunctional connectivity is essential. This study aims to investigate the structure connectivity and the information exchange efficiency of the brain language network under different task modality. Using a public database from the open project “Word and Object Processing” shared from the OpenfMRI web作者: 方舟 時(shí)間: 2025-3-23 00:33 作者: BIDE 時(shí)間: 2025-3-23 05:16 作者: 殘忍 時(shí)間: 2025-3-23 06:04 作者: 淡紫色花 時(shí)間: 2025-3-23 11:09 作者: collateral 時(shí)間: 2025-3-23 14:33
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspectivelast decade have opened up possibilities for advanced analysis of neuroimaging data. Using those computing tools Neuroscientists now can identify Neurodegenerative diseases from neuroimaging data. Due to the similarities in disease phenotypes, accurate detection of such disorders from neuroimaging d作者: 帶來(lái)墨水 時(shí)間: 2025-3-23 20:31 作者: 無(wú)思維能力 時(shí)間: 2025-3-24 01:55
Time Recognition of Chinese Electronic Medical Record of Depression Based on Conditional Random Fielmaking. In this paper, time expressions in Chinese electronic medical record text of depression are studied. The method combines regular expressions with Conditional random fields (CRFs) to recognize time expressions in Chinese electronic medical records. The test data are realistic electronic medic作者: municipality 時(shí)間: 2025-3-24 04:26 作者: 恩惠 時(shí)間: 2025-3-24 10:10
Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRIls of two adopted indicators on altered functional brain network by comparing the adjusted route between the two endpoints of the adjusted route were given and used as clues for the better understanding of the cognitive pattern of mental arithmetic. In this paper, the average number of adjusted rout作者: CROW 時(shí)間: 2025-3-24 13:12
Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRIbrain language network are strongly affected by the task modality. The task of written words reading, compared with other tasks, gets more language network nodes involved and thus the strongest structural connectivity will be activated and the highest information exchange efficiency will be achieved作者: vasculitis 時(shí)間: 2025-3-24 18:22
Dynamic Functional Connectivity in the Musical Brainom two groups of participants, 18 musicians and 18 non-musicians, while they listened to a musical stimulus in a naturalistic setting. We utilize spatial Group Independent Component Analysis (ICA), sliding time window correlations, and a deterministic agglomerative clustering of windowed correlation作者: cancellous-bone 時(shí)間: 2025-3-24 19:50 作者: jabber 時(shí)間: 2025-3-24 23:56
The Changes of Brain Networks Topology in Graph Theory of rt-fMRI Emotion Self-regulation Trainingth the EG and the CG have small-world topology, there are differences in small-world topology with emotion self-regulation training. Additionally, local efficiency is significantly different under certain sparsity, which suggests that emotional regulation has a positive effect on local networks. How作者: 好開(kāi)玩笑 時(shí)間: 2025-3-25 05:39 作者: 終端 時(shí)間: 2025-3-25 11:33 作者: 生意行為 時(shí)間: 2025-3-25 12:10
https://doi.org/10.1007/978-1-349-09893-4ls of two adopted indicators on altered functional brain network by comparing the adjusted route between the two endpoints of the adjusted route were given and used as clues for the better understanding of the cognitive pattern of mental arithmetic. In this paper, the average number of adjusted rout作者: CHAR 時(shí)間: 2025-3-25 19:45
https://doi.org/10.1007/978-1-349-09893-4brain language network are strongly affected by the task modality. The task of written words reading, compared with other tasks, gets more language network nodes involved and thus the strongest structural connectivity will be activated and the highest information exchange efficiency will be achieved作者: Diastole 時(shí)間: 2025-3-25 22:48 作者: AND 時(shí)間: 2025-3-26 00:47 作者: confederacy 時(shí)間: 2025-3-26 05:15
https://doi.org/10.1007/978-1-349-09893-4th the EG and the CG have small-world topology, there are differences in small-world topology with emotion self-regulation training. Additionally, local efficiency is significantly different under certain sparsity, which suggests that emotional regulation has a positive effect on local networks. How作者: curettage 時(shí)間: 2025-3-26 10:37 作者: Lime石灰 時(shí)間: 2025-3-26 16:34
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data作者: 有常識(shí) 時(shí)間: 2025-3-26 16:55 作者: 恩惠 時(shí)間: 2025-3-26 22:08 作者: 討好美人 時(shí)間: 2025-3-27 03:55
Modeling Individual Tacit Coordination Abilitieship between the player’s model and its coordination ability. Understanding the differences in individual’s tacit coordination abilities as well as their unique strategic profiles will allow us to better predict human’s behavior in tacit coordination scenarios and consequently construct better algorithms for human-machine interactions.作者: 神刊 時(shí)間: 2025-3-27 05:43 作者: 富饒 時(shí)間: 2025-3-27 10:57
Conference proceedings 20192019..The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; inf作者: 慢慢啃 時(shí)間: 2025-3-27 13:35 作者: Assault 時(shí)間: 2025-3-27 19:13
Conference proceedings 2019ormatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health..作者: 信條 時(shí)間: 2025-3-28 00:14
0302-9743 ement; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health..978-3-030-37077-0978-3-030-37078-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: nitroglycerin 時(shí)間: 2025-3-28 02:55
https://doi.org/10.1007/978-1-349-08134-9praising two labels of Motor Imagery activity. From the obtained results, we prove that the developed approach allows the performance enhancement, at the time, the relevant set decreases the number of channels to feed the classifier, and thus reducing the computational cost.作者: 未完成 時(shí)間: 2025-3-28 07:38 作者: 植物學(xué) 時(shí)間: 2025-3-28 10:58
https://doi.org/10.1007/978-1-349-09893-4e reduction was significantly higher for training group than control group specifically in the condition of cognitive reappraisal. This study showed that working memory training can improve the ability cognitive reappraisal and can be a potential intervention for promoting the emotional regulation of individuals with high trait anxiety.作者: 遭遇 時(shí)間: 2025-3-28 15:04
https://doi.org/10.1007/978-1-349-09893-4 into the Ensemble Learning classification, the classification results are weighted and comprehensively judged to determine whether the infant’s neurodevelopment is normal and whether early intervention is needed.作者: APRON 時(shí)間: 2025-3-28 18:56
https://doi.org/10.1007/978-1-349-09893-4p machine learning techniques only from MRI data. The results show that deep learning based techniques can detect the level of disorder with relatively high accuracy. Towards the end, current challenges are reviewed and some possible future research directions are provided.作者: hegemony 時(shí)間: 2025-3-29 01:13 作者: 留戀 時(shí)間: 2025-3-29 05:16 作者: CESS 時(shí)間: 2025-3-29 09:31 作者: acquisition 時(shí)間: 2025-3-29 14:34 作者: keloid 時(shí)間: 2025-3-29 15:39
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspectivep machine learning techniques only from MRI data. The results show that deep learning based techniques can detect the level of disorder with relatively high accuracy. Towards the end, current challenges are reviewed and some possible future research directions are provided.作者: 熄滅 時(shí)間: 2025-3-29 22:15 作者: 無(wú)價(jià)值 時(shí)間: 2025-3-30 03:09 作者: BRACE 時(shí)間: 2025-3-30 07:39
Operating the System, Version 2,ractional Permutation Entropy (FPE), we propose a complexity-based analysis of individual brain dynamics extracted from motor imagery tasks. Due to conventional Common Spatial Pattern (CSP) filtering is affected by the high variability across trials, we perform the study of different stages of featu作者: 芭蕾舞女演員 時(shí)間: 2025-3-30 10:41 作者: painkillers 時(shí)間: 2025-3-30 15:45
Operating the System, Version 3,. Existing research indicates that the changes in the physiological characteristics can reflect fatigue status, particularly brain activities. Nowadays, the research on brain science has made significant progress, such as the analysis of EEG signal to provide technical supports for real world applic作者: 設(shè)施 時(shí)間: 2025-3-30 17:33
