The multi-source interference task: validation study with fMRI in individual subjects. Mol. Psychiatry 8 (1), 60 - 70.Bush G, Shin LM, Holmes J, Rosen BR, Vogt BA. The Multi-Source Interference Task: validation
This is a digit-based Multi Source Interference Task with black/white stimuli and a random order of stimuli presentation similar to that described in Bush et al (2003). Go back to Multi Source Interference Task (MSIT) - random order page 这项研究需要免费的Inquisit应用程序。安装应用程序的步骤...
By combining sources of cognitive interference (Stroop, Eriksen and Simon) with factors known to increase dACC activity, the Multi-Source Interference Task (MSIT) maximally taxes dACC, making it possible to reliably activate dACC within individuals using functional magnetic resonance imaging (fMRI). ...
however, the limited information contained in a few dialogues also increases the difficulty of the task. Since the number of items appearing in history conversations is very few, which causes the sparsity
but traditional convolutional networks are not up to the task. Given that Graph Convolutional Networks (GCN), typically used for processing graph structures, treat each neighboring node as equally important and fail to capture the varying significance between nodes, we have adopted the GAT as the ...
Energy consumption Cybersecurity 1. Introduction Urban sensors play an irreplaceable role in meeting the demand of humans for ubiquitous intelligent perception in cities. With the development of theInternet of Things(IoT), the Internet and communication technologies, the number and types of urban sensor...
In the aspect of traffic state estimation, GP can handle more complex traffic flow scenarios while avoiding noise interference. Based on sparse traffic volume and speed data, a GP-based particle filter method is introduced for traffic density estimation with traditional traffic flow theory [134]. ...
Object detection is a task closely related to image segmentation, which, instead of classifying pixels as background or foreground pixels, outputs a bounding box and a class label for each detected object. This is used extensively in real-life applications, such as self-driving cars or detecting...
Since the signal and noise, noise and noise are not related, that is, the correlation energy is zero, so this method can more fully retain the effective information in the signal, with good anti-interference ability. Image sample construction based on fast spectral correlation The Fast Spectral...
Next, the limited number of PALSAR-1 interferograms was a significant factor contributing to the instability of deformation velocity estimation, indirectly making deformation results susceptible to noise and interference. Finally, the model identifying SDZ based on global wrapped features and color features...