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Neuroscience and intelligence refers to the various neurological factors that are partly responsible for the variation of intelligence within species or between different species. A large amount of research in this area has been focused on the neural basis of human intelligence .
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Cognitive neuroscience is a branch of both neuroscience and psychology, overlapping with disciplines such as behavioral neuroscience, cognitive psychology, physiological psychology and affective neuroscience. [4] [2] [3] Cognitive neuroscience relies upon theories in cognitive science coupled with evidence from neurobiology, and computational ...
Human intelligence is the intellectual capability of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness.Using their intelligence, humans are able to learn, form concepts, understand, and apply logic and reason.
The parieto-frontal integration theory (P-FIT) considers intelligence to relate to how well different brain regions integrate to form intelligent behaviors. The theory proposes that large scale brain networks connect brain regions, including regions within frontal, parietal, temporal, and cingulate cortices, underlie the biological basis of human intelligence.
Punjab Curriculum and Textbook Board was established in 1962 as West Pakistan Textbook Board. [3] Its functions are curriculum development, implementation of educational policies of the Government, publication of textbooks and production of supplementary reading material relating to textbooks. [4]
[1] [2] Intelligence in the normal range is a polygenic trait, meaning that it is influenced by more than one gene, [3] [4] and in the case of intelligence at least 500 genes. [5] Further, explaining the similarity in IQ of closely related persons requires careful study because environmental factors may be correlated with genetic factors.
In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses. In machine learning , an artificial neural network is a mathematical model used to approximate nonlinear functions .