The Brain Based Learning (BBL) is a comprehensive approach to instruction based on the structure and function of the brain. Renate Caine and Geoffry Caine have postulated twelve principles of BBL theory, which are further condensed into three instructional elements namely, relaxed alertness, ...
Growth of scientific attention on deep learning based brain tumor segmentation.aKeyword frequency map in MICCAI from 2018 to 2020. The size of the keyword is proportional to the frequency of the word. We observe that ‘brain’, ‘tumor’, ‘segmentation’, and ‘deep learning’, have drawn l...
Select Chapter 12 - Fast clustering methods based on learning spectral embedding Book chapterAbstract only Chapter 12 - Fast clustering methods based on learning spectral embedding Pages 407-435 Purchase View chapter View abstract Select Chapter 13 - Fast clustering methods based on affinity propagation...
Challenge: Most deep learning (DL) models are black boxes, so it can be difficult to derive what does and does not work when training them. It is possible to develop custom plots and run custom analysis, such as parameter importance or parallel coordinates; however, it is difficult to piece...
Learning and memory Motor control Reward This article is cited by A systematic literature review of neuroimaging coupled with machine learning approaches for diagnosis of attention deficit hyperactivity disorder Imran Ashraf Seungpil Jung Yongwan Park ...
With respect to deep learning, an equivalent function would be to alter the function of a trained convolutional net in significant but rule-based ways; for example to apply a transformation to all parameters when changing from one to another task (recognition of street numbers -> transform parame...
Manual segmentations of anatomical regions in the brain are time consuming and costly to acquire. In a clinical trial setting, this is prohibitive and automated methods are needed for routine application. We propose a deep-learning architecture that auto
As shown in Figure 1, BrainCog provides basic components such as different types of neuron models, learning rules, encoding strategies, etc., as building blocks to construct various brain areas and neural circuits to implement brain-inspired cognitive functions. Based on these essential components, ...
During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses are embedded within multilayered networks, making it difficult to determine the effect of an individual synaptic modification on the behaviour of the system. The backpropagation algorithm solves this problem in ...
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