A well-designed brain training app targets the ‘nuclear’ cognitive functions and processes within our brain’s ‘central processor’ – sometimes called Executive process. These key functions are shown in the ‘Knowledge Material’ model below.
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IQ Mindware apps are designed to target different components for different cognitive functions. Today we will be looking for targets Fluid intelligence (GF)
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Working memory (light gray box) is ours Mental workplace – We can remember that information at any moment for reasoning, problem solving, decision making, understanding and learning. Input gating is our focus on selecting information for this workspace, focusing, operating and disengaging is what we do with the workspace information under attentive control, and output gating is from processing the information we use to guide our decisions and actions. . Mindwear is the set of rules and techniques we use to guide our thinking.
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Fluid intelligence The ‘hub’ of various ‘broad powers’ of intelligence measured by IQ tests and other types of cognitive performance tests – as shown here.
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Fluid intelligence processes overlap with all other types of ‘multiple intelligence’. If your training results in a change in neuroplasticity to fluid intelligence (GF), then you are training the core network of your overall intelligence.
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At least try to complete this month’s challenge 20 sessions Training with the following settings to improve your fluid intelligence (GF)
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I’m guessing you’ve reached at least 2-back level with the first classic dual n-back game mode. This is an essential background practice for this challenge.
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Training setting 1
Choose at least 1G mode first (you can also try 2G or 2G +, but the key to this challenge is at least 1G which trains the working memory Output getting (Shown in the ‘Cognitive Element’ model above).
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Getting working memory output Processes (in your prefrontal cortex) are important for learning and applying complex, context-dependent rules – processes that are central GF.
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“Output gating is at the heart of developmental change, especially in the use of high-order regimes … increased training-induced cognitive flexibility … mediated by more efficient output gating to present abstract rules that support generalization, learning, and fluid reasoning.” (Unger and colleagues, 2016)
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Training settings 2 and 3
Next – switch on Interference control And Hand switching Options, shown below. These enable you to selectively train Detach In the above cognitive component model.
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Applying fluid intelligence can be like ‘offline’ reasoning and hypothesis testing – like when you solve matrix IQ tests, and you try to figure out the underlying rules of patterns.
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“In case of problem solving (Gf), the ability of high functional memory allows a person to present and maintain a problem accurately and consistently, so that ‘guess test’ can be done. However, since the assumptions are unproven or unproven, Detach Efforts to solve old problems become important so that new assumptions can be made and tested. “(Ref)
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Upgraded HiIcupro (Published March 2019) GF-Code training.
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This upgrade improves output gating (compared to the original gated dual n-back) and lets you set your own n-back level.
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This desktop / laptop app comes with a link to a post-training fluid intelligence and work memory IQ test and we guarantee a 10-20 point IQ increase as a result of the training.
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For training GF-CODE data processing components Fluid is specific to intelligence (GF) After first getting acquainted with the standard dual n-back training, select the following settings:
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1. Turn on interference control (for Stop training)
2. For game mode 1G, 2G or 2G + Output getting) Which is a function closely related to fluid intelligence and higher levels of learning, just as dissociation in work memory.
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