標(biāo)題: Titlebook: Brain Informatics; 15th International C Mufti Mahmud,Jing He,Ning Zhong Conference proceedings 2022 Springer Nature Switzerland AG 2022 art [打印本頁] 作者: dilate 時間: 2025-3-21 19:11
書目名稱Brain Informatics影響因子(影響力)
書目名稱Brain Informatics影響因子(影響力)學(xué)科排名
書目名稱Brain Informatics網(wǎng)絡(luò)公開度
書目名稱Brain Informatics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Brain Informatics被引頻次
書目名稱Brain Informatics被引頻次學(xué)科排名
書目名稱Brain Informatics年度引用
書目名稱Brain Informatics年度引用學(xué)科排名
書目名稱Brain Informatics讀者反饋
書目名稱Brain Informatics讀者反饋學(xué)科排名
作者: Vasoconstrictor 時間: 2025-3-21 23:08
Intracranial Space-Occupying Lesionsan be implicit, providing a fast and automatic selection, or explicit, providing a slower but contextualized selection. Both forms are important but do not derive from the same processes. Implicit selection results generally from a slow and progressive learning that leads to a simple response (concr作者: Abrade 時間: 2025-3-22 03:57 作者: 暫時休息 時間: 2025-3-22 06:23
https://doi.org/10.1007/978-3-642-18747-6is Brain computer interfaces (BCI). Recognizing emotions based on physiological signals specifically, Electroencephalography (EEG) signals with advancement of BCI applications, has turn into a very popular research topic. In this paper for effective representation of features the proposed model adop作者: MARS 時間: 2025-3-22 11:13
Intracranial Space-Occupying Lesionsctrum Disorder (ASD) compared to the Typically Developing (TD) group. An experimental paradigm is designed to perceive and differentiate social cues related to real-time road and traffic light situations. The computational metrics such as sensitivity index (.), response bias (.) and detection accura作者: Nutrient 時間: 2025-3-22 16:52 作者: 火海 時間: 2025-3-22 19:58 作者: 雪白 時間: 2025-3-22 23:52 作者: CRAMP 時間: 2025-3-23 03:55
Basics of Magnetic Resonance Imaging,When an effect is observed, the performance is better for a lower number of categories. We aimed to investigate the effect of the category number on the performance in the unstructured category learning tasks with probabilistic feedback. We conducted four experiments. The stimuli consisted of dot mo作者: 不朽中國 時間: 2025-3-23 07:24 作者: 刺激 時間: 2025-3-23 11:52
https://doi.org/10.1007/978-3-319-08165-6 training sets could produce different rankings of predictive features. Thus, the quantification of differences between feature importance is crucial for assessing model trustworthiness. Rank-biased Overlap (RBO) is a similarity measure between ., . and . rankings, which are all characteristics of f作者: strdulate 時間: 2025-3-23 15:03 作者: micronized 時間: 2025-3-23 21:21
Imaging of Malignant Focal Liver Lesions,ur cognitive resources and partly because of our intrinsic thoughts. In this work, we aim to find the differences in the neural signatures of mind-wandering and meditation that are common across different meditative styles. We use EEG recording done during meditation sessions by experts of different作者: cortisol 時間: 2025-3-24 01:07 作者: 負(fù)擔(dān) 時間: 2025-3-24 03:26
Techniques for Liver MR Imaging,reover, we found the locations of active sources also have an impact on the performance of ESI algorithms. For the real EEG/MEG source reconstruction, as the ground true activation is unknown, it is hard to validate which algorithm performs better. In this paper, we proposed to use statistical featu作者: Highbrow 時間: 2025-3-24 10:06 作者: 巨碩 時間: 2025-3-24 11:42
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/190189.jpg作者: disrupt 時間: 2025-3-24 15:36 作者: 全部逛商店 時間: 2025-3-24 20:45
978-3-031-15036-4Springer Nature Switzerland AG 2022作者: 稱贊 時間: 2025-3-25 00:24
From Concrete to?Abstract Rules: A Computational Sketchation and the selection of such abstract rules. Using two models from the literature (PBWM and HER), we explain that they both provide a partial but differentiated answer such that their unification offers a complete picture.作者: 極大的痛苦 時間: 2025-3-25 06:06 作者: 革新 時間: 2025-3-25 11:20 作者: Subdue 時間: 2025-3-25 15:22
Toward the Study of the Neural-Underpinnings of Dyslexia During Final-Phoneme Elision: A Machine Leagruency components. It then uses a machine-learning algorithm to optimally combine the resulting components to differentiate between the neural activity of children with dyslexia and controls. We apply our approach to a real EEG dataset involving children with dyslexia and controls. Our findings dem作者: 神秘 時間: 2025-3-25 16:27
Unstructured Categorization with Probabilistic Feedback: Learning Accuracy Versus Response Timeadopted by the observers; 2.) Accuracy and response time changed at a different rate during learning; 3.) The rate of improvement differed between the experiments; 4.) The response time is a better characteristic of incremental category learning. The findings imply that the learning performance depe作者: 爭論 時間: 2025-3-25 21:25
Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Mach Imbalanced, undersampled (K-Medoids) and oversampled (SMOTE) datasets were used for training EBMs, obtaining their respective feature importance. RBO score was calculated between ranking pairs incrementally increasing the depth by five features, from 1 to 178. All classifiers reached excellent AUC-作者: APRON 時間: 2025-3-26 02:00
Classifying EEG Signals of?Mind-Wandering Across Different Styles of?Meditationes. In addition, we generate lower-dimensional embeddings from higher-dimensional ones using t-SNE, PCA, and LLE algorithms and observe visual differences in embeddings between meditation and mind-wandering. We also discuss the general flow of the proposed design and contributions to the field of ne作者: 別名 時間: 2025-3-26 05:37
Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstructiondeep learning model; (2) bridging the 3T-MRI and the 7T-MRI within the same analysis scale; and (3) systematically comparing multiple evaluation indicators, including Brenner, SMD, SMD2, Variance, Vollath, Entropy, and NIQE. The experimental results suggest that the edge, fineness and texture featur作者: 或者發(fā)神韻 時間: 2025-3-26 08:58 作者: 有斑點 時間: 2025-3-26 15:18
Intracranial Space-Occupying Lesionst models, as well as employing an artefact detection model as a generic anomaly detector. Results show that subject-specific models can achieve a good performance, but the variability is significant across all three signals among rodents of the same age, gender and species.作者: aesthetic 時間: 2025-3-26 18:00 作者: GRATE 時間: 2025-3-26 22:10
Sonja Kinner,Thomas C. Lauensteingruency components. It then uses a machine-learning algorithm to optimally combine the resulting components to differentiate between the neural activity of children with dyslexia and controls. We apply our approach to a real EEG dataset involving children with dyslexia and controls. Our findings dem作者: 尖叫 時間: 2025-3-27 01:31 作者: Phenothiazines 時間: 2025-3-27 06:49
https://doi.org/10.1007/978-3-319-08165-6 Imbalanced, undersampled (K-Medoids) and oversampled (SMOTE) datasets were used for training EBMs, obtaining their respective feature importance. RBO score was calculated between ranking pairs incrementally increasing the depth by five features, from 1 to 178. All classifiers reached excellent AUC-作者: 水獺 時間: 2025-3-27 10:09 作者: laparoscopy 時間: 2025-3-27 17:04
Diseases of the Pleura and the Chest Wall,deep learning model; (2) bridging the 3T-MRI and the 7T-MRI within the same analysis scale; and (3) systematically comparing multiple evaluation indicators, including Brenner, SMD, SMD2, Variance, Vollath, Entropy, and NIQE. The experimental results suggest that the edge, fineness and texture featur作者: 共同給與 時間: 2025-3-27 19:21 作者: finite 時間: 2025-3-28 01:34 作者: 小木槌 時間: 2025-3-28 03:50 作者: 松緊帶 時間: 2025-3-28 08:41
COSLETS: Recognition of?Emotions Based on?EEG Signalsis Brain computer interfaces (BCI). Recognizing emotions based on physiological signals specifically, Electroencephalography (EEG) signals with advancement of BCI applications, has turn into a very popular research topic. In this paper for effective representation of features the proposed model adop作者: 國家明智 時間: 2025-3-28 13:58 作者: 配置 時間: 2025-3-28 14:45 作者: osteocytes 時間: 2025-3-28 18:45 作者: 暫停,間歇 時間: 2025-3-29 00:54
Root-Cause Analysis of?Activation Cascade Differences in?Brain Networks probably the simplest way to study the dynamics of macro-scale brain activity is to compute the “activation cascade” that follows the artificial stimulation of a source region. Such cascades can be computed using the Linear Threshold model on a weighted graph representation of the connectome. The q作者: Ambiguous 時間: 2025-3-29 03:28
Unstructured Categorization with Probabilistic Feedback: Learning Accuracy Versus Response TimeWhen an effect is observed, the performance is better for a lower number of categories. We aimed to investigate the effect of the category number on the performance in the unstructured category learning tasks with probabilistic feedback. We conducted four experiments. The stimuli consisted of dot mo作者: inquisitive 時間: 2025-3-29 11:10
Optimizing Measures of?Information Encoding in?Astrocytic Calcium Signalsn-neural cells in the brain, can add information about key cognitive variables that is not found in the activity of nearby neurons. This raises the question of what could be the contribution of astrocytes in information processing, and calls for analysis tools to characterize this contribution. Here作者: Uncultured 時間: 2025-3-29 14:35
Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Mach training sets could produce different rankings of predictive features. Thus, the quantification of differences between feature importance is crucial for assessing model trustworthiness. Rank-biased Overlap (RBO) is a similarity measure between ., . and . rankings, which are all characteristics of f作者: ureter 時間: 2025-3-29 17:18
Prediction of?Neuropsychological Scores from?Functional Connectivity Matrices Using Deep Autoencoderm large-scale datasets of patient’s records. However, in many cases data scarcity has forced the adoption of simpler (linear) feature extraction methods, which are less prone to overfitting. In this work, we exploit data augmentation and transfer learning techniques to show that deep, non-linear aut作者: incisive 時間: 2025-3-29 22:40 作者: 口味 時間: 2025-3-30 03:06 作者: 飲料 時間: 2025-3-30 05:57
Brain Source Reconstruction Solution Quality Assessment with?Spatial Graph Frequency Featuresreover, we found the locations of active sources also have an impact on the performance of ESI algorithms. For the real EEG/MEG source reconstruction, as the ground true activation is unknown, it is hard to validate which algorithm performs better. In this paper, we proposed to use statistical featu作者: 高貴領(lǐng)導(dǎo) 時間: 2025-3-30 12:11
Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstructionation. In particular, the technological development and innovation of the Magnetic Resonance Imaging (MRI) machine, through increasing the magnetic field from low (such as 3T) to high (such as 7T), has revealed significant advantages regarding the image quality enhancement, etc. Currently, due to th作者: 糾纏,纏繞 時間: 2025-3-30 15:15
https://doi.org/10.1007/978-3-642-18747-6 the low dimensional subspace to employ principal components using PCA and finally GRNN (General Regression Neural Network) is presented for effective classification of four different emotional states from publicly available EEG based GAMEEMO dataset. The experimental results are promising and performed well, compared to other state of methods.作者: 有惡意 時間: 2025-3-30 17:23
Anterior Cruciate Ligament (ACL),ptimally set parameters of information theoretic analysis of astrocytic activities. Applications of our techniques to simulated and real astrocytic data show how to set parameters of information analyses that provide conservative, yet reliable, estimates of astrocytic calcium dynamics contribution to circuit-level brain information processing.作者: Deceit 時間: 2025-3-31 00:47
Imaging of Malignant Focal Liver Lesions,s modest. The latent representations extracted by the autoencoders can then be given as input to regularized regression methods to predict neurophsychological scores, significantly outperforming recently proposed methods based on linear feature extraction.作者: LUCY 時間: 2025-3-31 04:00
COSLETS: Recognition of?Emotions Based on?EEG Signals the low dimensional subspace to employ principal components using PCA and finally GRNN (General Regression Neural Network) is presented for effective classification of four different emotional states from publicly available EEG based GAMEEMO dataset. The experimental results are promising and performed well, compared to other state of methods.作者: 公司 時間: 2025-3-31 08:00 作者: flimsy 時間: 2025-3-31 10:22 作者: Infelicity 時間: 2025-3-31 17:04
Intracranial Space-Occupying Lesionso TD (.). The automated classification with an accuracy of 96.2% supported the significance of the metrics in distinguishing ASD from TDs. The present findings revealed that social conformity and social influence imparted growth in ASD cognition.作者: dermatomyositis 時間: 2025-3-31 18:16
https://doi.org/10.1007/978-3-642-76790-6ferences (such as edges with large weight or centrality differences). We have also applied the proposed method in the comparison between a Major Depressive Disorder (MDD) group versus healthy controls and briefly report the resulting set of connections that cause most of the observed cascade differences.
