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May be ex-library. Buy with confidence, excellent customer service!. This finding shows that the activation signatures are not just arbitrary patterns, but are meaningful and interpretable. Another important result was that once a property of an animal was learned, it remained intact in the brain, even after other properties of the animal had been learned.
This finding indicates the relative neural durability of what we learn. Just believes that the study provides a foundation for brain researchers to trace how a new concept makes its way into the brain from the words and graphics used to teach it, foreshadowing a capability to assess the progress in learning a complicated concept like those in a high-school physics lesson.
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The loss of a concept in the brain may be the reverse of the process that the study observed. Published online June 2 doi Although enormous progress has recently been made in identifying the neural representations of individual object concepts, relatively little is known about the growth of a neural knowledge representation as a novel object concept is being learned. In this fMRI study, the growth of the neural representations of eight individual extinct animal concepts was monitored as participants learned two features of each animal, namely its habitat i.
Several converging methods were used here to capture the emergence of the neural representation of a new animal feature within these characteristic, a priori-specified brain regions. These methods include statistically reliable identification classification of the eight newly acquired multivoxel patterns, analysis of the neural representational similarity among the newly learned animal concepts, and conventional GLM assessments of the activation in the critical regions.
Moreover, the representation of a recently learned feature showed some durability, remaining intact after another feature had been learned. Remember Me.
The Female Brain
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How Concepts Develop in the Brain - Neuroscience News
Scientific Research. Watch On Demand June 4, 9 a. EDT A central goal of neuroscience is understanding the cellular components of neuronal circuits. Advances you will hear about include: Tools driving the discovery of molecularly-defined cell types across brain systems. Quantitative and scalable single cell analysis approaches spanning multiple modalities — including gene expression, morphology, physiology, and connectivity — bringing us closer toward achieving a brain cell census.
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A conceptual understanding of brain development and evolution made possible through these new tools and approaches.