Gating mechanismAttention mechanismRecurrent Neural NetworkGated recurrent unitDialogue systemRecurrent Neural Network (RNN) based approaches have recently shown promising in tackling Natural Language Generation (NLG) problems. This paper presents an approach to leverage gating mechanisms, in which we ...
computer-visiondeep-learningpytorchrecurrent-neural-networksconvolutional-neural-networksgatingattention-mechanismsaliency-mapgazepaper-implementationsconvolutional-lstmsaliency-predictionvideo-saliency-prediction UpdatedOct 15, 2022 Python Part I : 3D Object Detection with Waymo Dataset and Complex YOLO; Part II:...
processing and are mainly driven by the physical characteristics of the stimulus. Responses' occurring after 200 ms are called endogenous or concept-driven, as the latter part of the process is based on the cognitive and emotional importance of the stimulus (Boutros et al., 2004;Nuechterlein ...
Serious games provide interactive content and gain the attention of the learners to enhance learners' motivations. The context-aware approach establishes personalised learning assistance based on the learners’ context to enhance the learning experience. Game mechanics, game events, learning objectives and...
Based on the framework of structuration theory, this paper analyzes the mechanism behind the formation of gated villages, which differ from urban gated communities. Based on the case studies, this paper concludes that: (1) the formation of the gated village is the culmination of interactions ...
Finally, to relate bursts to behaviour in single trials, we constructed a linear mixed-effects model based on trials where probed items were the first or last bar. The performance (absolute magnitude of error) data was transformed to meet the general linear model assumptions (see Methods). The...
At the electrode level, the cluster-based permutation test (see step 3 in Fig. 5) revealed significant differences in intoxication effects (sober-intoxicated) between conditions B2 30° and B1 150° in most electrodes for task-related theta activity. These differences were mainly observed from 0.5...
We explore the role of attention mechanism during inference in text-conditional diffusion models. Empirical observations suggest that cross-attention outputs converge to a fixed point after several inference steps. The convergence time naturally divides the entire inference process into two phases: an ini...
Based on the 3D structure of the P2X4 receptor, those interactions can be divided into three compartments. (1) The binding sites of ATP are contributed by domains from differ- ent subunits, namely, the head and LF domains from the same subunit, and the DF and upper body domains ...
Through calcium-based excitatory plasticity, the activated excitatory synapses targeting the disinhibited dendrites become strengthened, whereas those targeting the inhibited dendrites become weakened. Synapses not activated remain the same regardless of the inhibition level (Fig. 7b). After learning, the ...