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Related Concept Videos

Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
False Memories01:18

False Memories

False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information with...
Fundamental Attribution Error01:14

Fundamental Attribution Error

According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is called the fundamental attribution...
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.

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Related Experiment Video

Updated: May 11, 2026

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

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When the predictive brain gets it really wrong.

Gavin Buckingham1, Melvyn A Goodale

  • 1The Brain and Mind Institute, Natural Sciences Centre, The University of Western Ontario, London ON N6A 5B7, Canada. gbucking@uwo.ca

The Behavioral and Brain Sciences
|May 14, 2013
PubMed
Summary
This summary is machine-generated.

The predictive brain model offers a unified view of cognitive neuroscience, but requires further development in perception and action. This research highlights areas needing more detail for a complete understanding of predictive processing.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience

Background:

  • The predictive brain hypothesis proposes a unified framework for understanding brain function.
  • This model integrates diverse cognitive processes, from neural activity to sensorimotor control.

Purpose of the Study:

  • To evaluate the predictive brain as a unifying model in cognitive neuroscience.
  • To identify areas within perception and action that require further elaboration within this framework.

Main Methods:

  • Conceptual analysis of the predictive brain model.
  • Review of existing literature on neural processes, sensorimotor control, perception, and action.

Main Results:

  • General agreement with the predictive brain concept.
  • Identification of specific gaps in explaining perception and action within the current model.

Conclusions:

  • The predictive brain model is a promising unifying framework.
  • Further research is needed to refine the model's application to perceptual and action-related mechanisms.