Local topological scales of hierarchical community organization in structural and functional brain graphs. حسب Arian Ashourvan (6685232)

Multi-scale detection of hierarchical community architecture in structural and functional brain networks حسب Arian Ashourvan (6685232)

"…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …"

Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. حسب Konstantina Charmpi (9901053)

Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. حسب Adam L. Tyson (10892822)

الموضوعات:

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

"…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …"

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. حسب Arian Ashourvan (6685232)

PCA visualization of LSTM hidden layer activity of an example 7-hidden-unit network (#7). حسب Quan Wan (1329666)

الموضوعات:

BCI architecture. حسب Stefan K. Ehrlich (6475490)

الموضوعات:

Functional PCA With Covariate-Dependent Mean and Covariance Structure حسب Fei Ding (134577)

"…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …"

Loss functions between PCA-DNN model and PCA-LSTM model. حسب Cihun-Siyong Alex Gong (11874066)

Exploration of Bioinspired Algorithms in Multithreshold Image Segmentation for Medical Images حسب Fernando Ramírez sarmiento (18359679)

"…<p dir="ltr">The brain is essential for human functioning, but it is vulnerable to multiple pathologies, including strokes, brain tumors, and other disorders that compromise its structure and function. …"

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

Total number of cells in each region, per brain, projecting to layer 2/3 neurons in primary visual cortex. حسب Adam L. Tyson (10892822)

الموضوعات:

Illustration of the cell detection process. حسب Adam L. Tyson (10892822)

الموضوعات:

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. حسب Ege Altan (11768156)

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

Testing function diagram of QIMPN-PCA-DC. حسب Jun Zhao (59250)

Automatic cropping algorithm. حسب Thomas W Georgi (12427189)

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx حسب Takatsugu Aihara (4433524)

"…We recently proposed a hierarchical Bayesian (HB) DOT algorithm and verified its performance in terms of task-related brain responses. …"

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. حسب Cihun-Siyong Alex Gong (11874066)