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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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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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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Context-sensitive computational mechanistic explanation in cognitive neuroscience.

Matthieu M de Wit1, Heath E Matheson2

  • 1Department of Neuroscience, Muhlenberg College, Allentown, PA, United States.

Frontiers in Psychology
|August 8, 2022
PubMed
Summary

Cognitive neuroscience struggles to map behavior to brain networks due to unstable neural mappings. A contextual approach across all levels is needed for mechanistic explanations of behavior.

Keywords:
cognitive neurosciencedegeneracyfunctional brain mappinglevels of analysismany-to-many mappingsmechanistic explanationneural reusestructure-function relationships

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Area of Science:

  • Cognitive Neuroscience
  • Neuroscience
  • Computational Neuroscience

Background:

  • Cognitive neuroscience seeks to explain behavior by linking organismal abilities to neural networks via computation.
  • Current models face challenges due to empirical findings that contradict stable mappings between analysis levels.

Purpose of the Study:

  • To review the commitments of cognitive neuroscience in mapping behavior to brain networks.
  • To highlight the mismatch between theoretical models and empirical research findings.
  • To propose a reorientation of methodological and theoretical approaches.

Main Methods:

  • Integrative review of existing literature and empirical research findings.
  • Analysis of phenomena such as context-dependent neural tuning, neural reuse, and plasticity.
  • Examination of research on task context and dynamic neural parcellation.

Main Results:

  • Stable mappings between organismal, computational, and neural levels are lacking.
  • Neural function is context-dependent, preventing stable computational descriptions.
  • Task context dynamically influences neural component organization.

Conclusions:

  • Instability across analysis levels poses an epistemological challenge for cognitive neuroscience.
  • A shift towards contextual explanations at all levels is necessary.
  • Brain mapping efforts require methodological and theoretical reorientation to achieve mechanistic explanations of behavior.