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Multisensory integration, also known as multimodal integration, is the study of how information from the different sensory modalities (such as sight, sound, touch, smell, self-motion, and taste) may be integrated by the nervous system. [1] A coherent representation of objects combining modalities enables animals to have meaningful perceptual ...
Simulation is used in many contexts, such as simulation of technology for performance tuning or optimizing, safety engineering, testing, training, education, and video games. Simulation is also used with scientific modelling of natural systems or human systems to gain insight into their functioning, [5] as in economics.
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The root test is stronger than the ratio test: whenever the ratio test determines the convergence or divergence of an infinite series, the root test does too, but not conversely. Integral test. The series can be compared to an integral to establish convergence or divergence.
E-learning literature identifies an ecology of concepts from a bibliometric study were identified the most used concepts associated with the use of computers in learning contexts, e.g., computer-assisted instruction (CAI), computer-assisted learning (CAL), computer-based education (CBE), e-learning, learning management systems (LMS), self ...
Digital storytelling is a short form of digital media production that allows everyday people to create and share their stories online. The method is frequently used in schools, [1] [2] [3] museums, [4] libraries, [5] social work and health settings, [6] [7] and communities. [8] They are thought to have educational, democratizing [9] and even ...
Convergence insufficiency. Convergence Insufficiency. Other names. Convergence disorder. Specialty. Ophthalmology, optometry. Convergence insufficiency is a sensory and neuromuscular anomaly of the binocular vision system, characterized by a reduced ability of the eyes to turn towards each other, or sustain convergence .
A feedforward neural network (FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers. Its flow is uni-directional, meaning that the information in the model flows in only one direction—forward—from the input nodes, through the hidden nodes (if any) and to the output nodes, without any cycles or loops, in ...