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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Encoding models for developmental cognitive computational neuroscience: Promise, challenges, and potential.

Tomoya Nakai1, Charlotte Constant-Varlet2, Jérôme Prado2

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Encoding models can explain brain activity using artificial neural networks. This approach, applied to developmental cognitive neuroscience, offers insights into changing brain representations with learning and development.

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Area of Science:

  • Cognitive computational neuroscience
  • Neuroscience
  • Artificial Intelligence

Background:

  • Encoding models explain brain activity using latent features, including artificial neural networks.
  • Most studies focus on adults, limiting understanding of developmental changes in brain representations.

Purpose of the Study:

  • To advocate for the use of encoding models in developmental cognitive neuroscience.
  • To explore how encoding models can capture changes in brain representations during development.

Main Methods:

  • Overview of encoding models used in adult functional magnetic resonance imaging (fMRI) research.
  • Discussion of challenges in applying encoding models to developmental neuroimaging.

Main Results:

  • Adult fMRI studies using encoding models often involve few subjects but many samples.
  • Encoding models typically require task-based neuroimaging data.

Conclusions:

  • Developmental studies can overcome challenges by employing functional alignment techniques and naturalistic paradigms.
  • Encoding model analysis in developmental neuroimaging can yield significant theoretical advancements.