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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

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Prediction, cognition and the brain.

Andreja Bubic¹, D Yves von Cramon, Ricarda I Schubotz

¹Department of Cognitive Neurology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany.

Frontiers in Human Neuroscience

|July 16, 2010

Summary

This summary is machine-generated.

The predictive brain anticipates future events, a key concept in neuroscience. Prediction errors are vital for driving cognitive processes and behavior, though a unified theory is still developing.

Keywords:

anticipation expectation internal models novelty detection prediction prediction errors prospection simulation

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Area of Science:

Cognitive Neuroscience
Computational Neuroscience
Neuroscience of Prediction

Background:

The 'predictive brain' concept highlights the role of anticipation and expectation in cognitive functions.
Predictive processing is proposed as a fundamental principle of neural computation.
Prediction errors are crucial for modulating neural activity, cognitive processes, and behavior.

Purpose of the Study:

To review research areas investigating the role of prediction in cognitive neuroscience.
To introduce terminology and leading theories related to predictive processing.
To explore generative mechanisms underlying predictive processing and the comparison of predicted versus actual events.

Main Methods:

Literature review of cognitive neuroscience research.
Analysis of theories on predictive processing and generative mechanisms.
Discussion of experimental paradigms comparing prediction confirmation and violation.

Main Results:

Identified key research areas and theories emphasizing prediction in cognitive domains.
Highlighted the significance of prediction errors in neural and behavioral adaptation.
Compared the processing of expected versus unexpected events.

Conclusions:

Significant progress has been made in understanding predictive processing.
Further research is needed to develop a unified theory of predictive processing.
Open issues remain regarding both cognitive and neural aspects of predictive functioning.