• TensorFlow

  • Referenced in 403 articles [sw15170]
  • researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research ... conducting machine learning and deep neural networks research, but the system is general enough...
  • BrainNet Viewer

  • Referenced in 11 articles [sw26512]
  • BrainNet Viewer: a network visualization tool for human brain connectomics. The human brain ... intriguing topological architectures of human brain networks in healthy populations and explore the changes throughout ... edges in sequence and displays brain networks in multiple views, as required by the user ... BrainNet Viewer helps researchers to visualize brain networks in an easy, flexible and quick manner...
  • LSTM

  • Referenced in 25 articles [sw03373]
  • human brain is a recurrent neural network (RNN): a network of neurons with feedback connections...
  • pyunicorn

  • Referenced in 5 articles [sw19314]
  • climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical...
  • BSMART

  • Referenced in 5 articles [sw07381]
  • resolution, functional relations within large scale brain networks...
  • CayleyNets

  • Referenced in 4 articles [sw38090]
  • regulatory networks, citation graphs, and functional brain networks, in combination with resounding success of deep...
  • BrainNetVis

  • Referenced in 2 articles [sw21997]
  • tool to effectively quantify and visualize brain networks. This paper presents BrainNetVis, a tool which ... serves brain network modelling and visualization, by providing both quantitative and qualitative network measures ... brain interconnectivity. It emphasizes the needs that led to the creation of this tool ... vertex metrics), which carry the brain network information. To make the methods clear and understandable...
  • HINT

  • Referenced in 1 article [sw36066]
  • important goal is to study how brain networks are modulated by subjects’ clinical and demographic ... covariates effects in ICA estimation of brain networks, which potentially leads to loss in accuracy ... statistical power in detecting brain network differences between subjects’ groups. We introduce a Matlab toolbox ... generates model-based estimates of brain networks on both the population- and individual-level. HINT...
  • CONN

  • Referenced in 2 articles [sw26510]
  • connectivity toolbox for correlated and anticorrelated brain networks. Resting state functional connectivity reveals intrinsic, spontaneous ... networks that elucidate the functional architecture of the human brain. However, valid statistical analysis used...
  • GRID Infoware

  • Referenced in 23 articles [sw04166]
  • brain activity analysis, and high energy physics). This idea is analogous to electric power network...
  • BRAPH

  • Referenced in 1 article [sw26515]
  • brain connectivity. The brain is a large-scale complex network whose workings rely ... years, the organization of the human brain network has been studied extensively using concepts from ... graPH theory) for connectivity analysis of brain networks derived from structural magnetic resonance imaging...
  • BASCO

  • Referenced in 1 article [sw26514]
  • based functional connectivity as well as brain network analyses. Although there are a multitude ... task-related whole-brain functional connectivity employing a large number of network nodes. Thus, BASCO...
  • eConnectome

  • Referenced in 2 articles [sw26511]
  • estimate the directional interactions of brain functional networks, over the scalp and cortical sensor spaces ... implemented using a generic realistic geometry brain-head model from scalp EEGs. Granger causality could...
  • multdyn

  • Referenced in 1 article [sw23596]
  • Dynamic Models for directed dynamic functional brain network analysis...
  • GTG

  • Referenced in 1 article [sw26513]
  • graph theory properties derived from brain networks. The GLM accepts continuous & categorical between-participant predictors...
  • GRETNA

  • Referenced in 1 article [sw26509]
  • have suggested that the brain’s structural and functional networks (i.e., connectomics) can be constructed ... including functionality in image preprocessing and network construction based on resting-state functional ... young adults, we demonstrated that human brain functional networks exhibit efficient small-world, assortative, hierarchical...
  • SCIRun

  • Referenced in 22 articles [sw06756]
  • flexible enough to enable duplication of networks and creation of new modules. Many SCIRun users ... forward and inverse calculations, modeling of deep brain stimulation, electromyography calculation, and determination...
  • Graph Investigator

  • Referenced in 2 articles [sw26160]
  • Graph Investigator: comparison of brain vasculature with structurally similar artificial networks and analysis of vertices...
  • NeuroShell 2

  • Referenced in 1 article [sw33532]
  • experience. The human brain relies on neural stimuli while the neural network uses data sets ... solving applications without programming. You tell the network what you are trying to predict ... data. Both NeuroShell 2 and the brain are able to solve problems that cannot ... step mode. Just like the brain, however, neural networks are not guaranteed to always give...