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To calculate $d'$, you need to know two things: the hit rate and the false alarm rate. The hit rate is the proportion of trials where the stimulus was present and the subject responded that the stimulus was present. The false alarm rate is the proportion of trials where the stimulus was not present, and the subject responded that the stimulus was present. ...


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If you have a physics background, you may be particularly interested in Sparse Distributed Memory, a model that provides a number of psychologically plausible characteristics, and is also neuroscientifically plausible. The model and some of its characteristics are summarized in this paper. Many great references have been provided by Nick Stauner (and I ...


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There are some mentions of Evolutionary Game Theory in this Behavior & Brain Sciences (BBS) article by Andrew Colman (2003). The main article itself only has a brief section on EGT. However, like all BBS articles, there are short commentary articles after the main article. A few of these deal directly with EGT. I was able to find the relevant articles ...


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The index of sensitivity $d'$ is typically defined in terms of two equal variance normally distributed random variables with means $\mu_s$ and $\mu_n$ and standard deviation $\sigma$: $$d'=\frac{\mu_s-\mu_n}{\sigma}$$ In behavioural experiments, the probability that the subjects responded correctly (either saying 'yes' when the signal was present or saying ...


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Learning is a very complex process, do not expect to find precise answers like “5 exercises are required to learn a new subject”. There are many factors that affect learning, just to name a few: Your existing knowledge. Your engagement with the subject. How you learn. Deep Vs shallow processing. The complexity of the subject. Your personal characteristics ...


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Here is the illustrate of both equation To make them visible at same time, I changed 100 to 1 and set memory strength as 1. They look alike.



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