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The study of memory incorporates research methodologies from neuropsychology, human development and animal testing using a wide range of species. The complex phenomenon of memory is explored by combining evidence from many areas of research. New technologies, experimental methods and animal experimentation have led to an increased understanding ...
Tree testing is a usability technique for evaluating the findability of topics in a website. [1] It is also known as reverse card sorting or card-based classification. [2] A large website is typically organized into a hierarchy (a "tree") of topics and subtopics. [3] [4] Tree testing provides a way to measure how well users can find items in ...
MTD(f) is a shortened form of MTD(n,f) which stands for Memory-enhanced Test Driver with node ‘n’ and value ‘f’. [1] The efficacy of this paradigm depends on a good initial guess, and the supposition that the final minimax value lies in a narrow window around the guess (which becomes an upper/lower bound for the search from root).
Memory transfer proposes a chemical basis for memory termed memory RNA which can be passed down through flesh instead of an intact nervous system. Since RNA encodes information [ 1 ] and living cells produce and modify RNA in reaction to external events, it might also be used in neurons to record stimuli.
Memorization (British English: memorisation) is the process of committing something to memory. It is a mental process undertaken in order to store in memory for later recall visual, auditory, or tactical information. The scientific study of memory is part of cognitive neuroscience, an interdisciplinary link between cognitive psychology and ...
Tree test may mean: Tree testing, a method of evaluating topic trees for findability; Baum test, projective drawing technique developed by Karl Koch
The test was developed to study spatial learning and how it differed from other forms of associative learning. [11] Originally rats, now more commonly mice, were placed in an open pool and the latency to escape was measured for up to six trials a day for 2–14 days. [ 12 ]
The implicit association test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. [2] The IAT measures the associative strength between categories (e.g. Bug, Flower) and attributes (e.g. Bad, Good) by having participants rapidly classify stimuli that represent the categories and attributes of interest on a computer. [3]