Table_1_A comparison of the composition and functions of the oral and gut microbiotas in Alzheimer’s patients.docx by Lili Chen (66681)

Data_Sheet_1_Developmental Changes in Dynamic Functional Connectivity From Childhood Into Adolescence.pdf by Mónica López-Vicente (3980462)

“…Our objective was to characterize the longitudinal developmental changes in dynamic functional connectivity in a population-based pediatric sample. …”

gmxapi usage examples. by M. Eric Irrgang (4487278)

Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition by Shiying Wang (5179559)

“…<p>Brain functional connectivity or connectome, a unique measure for brain functional organization, provides a great potential to explain the neurobiological underpinning of behavioral profiles. …”

Stimulus trial-averages of EEG signal projected into UMI and PMI subspaces over a 2-delay time course (-2800ms to 3550ms relative to stimulus <i>n + 1</i> onset). by Quan Wan (1329666)

Subjects:

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf by Elena Pastorelli (7024235)

“…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …”

GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…The package provides functionality for low-dimensional embeddings of graphs, statistical testing on individual or sets of graphs, simulations for several random graph models, as well as various plotting and utility functions for graph manipulation. …”

Data_Sheet_2_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX by Raymond Salvador (813880)

“…To minimize these risks, and as an alternative to the more common dimensionality reduction methods, we propose using two regularized multivariate connectivity models. On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …”

Data_Sheet_3_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX by Raymond Salvador (813880)

“…To minimize these risks, and as an alternative to the more common dimensionality reduction methods, we propose using two regularized multivariate connectivity models. On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …”

libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”

Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

Algorithm 1. by Muhammad Zubair Rehman (11243478)

Data_Sheet_1_Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels.docx by Hyeokjin Kwon (9314486)

“…<p>Machine learning algorithms have been widely applied in diagnostic tools for autism spectrum disorder (ASD), revealing an altered brain connectivity. …”

Video_1_Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels.MP4 by Hyeokjin Kwon (9314486)

“…<p>Machine learning algorithms have been widely applied in diagnostic tools for autism spectrum disorder (ASD), revealing an altered brain connectivity. …”

Image_1_Distinct Brain Dynamic Functional Connectivity Patterns in Schizophrenia Patients With and Without Auditory Verbal Hallucinations.JPEG by Yao Zhang (134381)

“…In this study, 25 Schizophrenia patients with AVHs (AVHs group, 23.2 ± 5.35 years), 52 Schizophrenia patients without AVHs (non-AVHs group, 25.79 ± 5.63 years) and 28 healthy subjects (NC group, 26.14 ± 5.45 years) were enrolled. Dynamic functional connectivity was studied with a sliding-window method and functional connectivity states were then obtained with the k-means clustering algorithm in the three groups. …”

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. by Ying Li (38224)

“…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23.…”

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. by Ying Li (38224)

“…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13.…”

Classification and Metric learning for Dataset 1. by Reem Khalil (10898163)

Subjects:

The process of function F in the improved Blowfish algorithm. by Sathish Kaveripakam (16940710)