Search results
Results From The WOW.Com Content Network
The one-factor-at-a-time method, [1] also known as one-variable-at-a-time, OFAT, OF@T, OFaaT, OVAT, OV@T, OVaaT, or monothetic analysis is a method of designing experiments involving the testing of factors, or causes, one at a time instead of multiple factors simultaneously.
Depression at some synapses may arise from depletion of synaptic vesicles available for release. Depression of synaptic vesicle release may mask augmentation because of overlapping time courses. Also included in the table is the fraction change in transmitter release arising from one impulse. A magnitude of 0.8 would increase transmitter ...
In neuroscience, synaptic plasticity is the ability of synapses to strengthen or weaken over time, in response to increases or decreases in their activity. [1] Since memories are postulated to be represented by vastly interconnected neural circuits in the brain , synaptic plasticity is one of the important neurochemical foundations of learning ...
Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. [1] [2] Data augmentation has important applications in Bayesian analysis, [3] and the technique is widely used in machine learning to reduce overfitting when training machine learning models, [4] achieved by training models on several slightly-modified copies of existing data.
Specifically, while one needs a suitably large sample size to draw valid statistical conclusions, the data must be cleaned before it can be used. Cleansing typically involves a significant human component, and is typically specific to the dataset and the analytical problem, and therefore takes time and money. For example:
Exploratory Factor Analysis Model. In multivariate statistics, exploratory factor analysis (EFA) is a statistical method used to uncover the underlying structure of a relatively large set of variables. EFA is a technique within factor analysis whose overarching goal is to identify the underlying relationships between measured variables. [1]
Participants would experience each level of the repeated variables but only one level of the between-subjects variable. Andy Field (2009) [ 1 ] provided an example of a mixed-design ANOVA in which he wants to investigate whether personality or attractiveness is the most important quality for individuals seeking a partner.
[1] [10] These three processes are often differentiated by their time scales: facilitation usually lasts for tens of milliseconds, while augmentation acts on a time scale on the order of seconds and potentiation has a time course of tens of seconds to minutes. All three effects increase the probability of neurotransmitter release from the ...