Mental Representations

Mental representations are internal cognitive structures that encode information about objects, events, concepts, and relationships, allowing the mind to think beyond what is immediately present. In psychology, they arise as the brain organizes sensory input, language, memories, and prior knowledge into formats that can be retrieved, compared, manipulated, and used to guide behavior. Researchers study representations through tasks involving perception, imagery, categorization, problem-solving, and decision-making, examining how factors such as attention and memory shape their accuracy and flexibility. This topic helps explain learning, reasoning, communication, and individual differences in cognition, while informing research on mental imagery, language processing, artificial intelligence, and cognitive disorders.

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JoVE Science Education - Psychology

Mental Rotation

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2023

Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Visual mental imagery refers to the ability to conjure images in one’s mind’s eye. This allows people to process visual material above and beyond the constraints of a current point-of-view; for example, a person could imagine, using their mind’s eye, how something might look in a different color, or what it would look like if it were made from a different material or rotated and seen from a different perspective. Mental imagery...

Mental Status Examination

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2023

Source: Carmen Black, Matthew Goldenberg, and Jaideep Talwalkar; Yale School of Medicine The mental status exam is a clinical evaluation of emotional, perceptual, and cognitive functioning that spans both the fields of psychiatry and neurology. Developing skill in the psychiatric portions of the examination are important to describe salient aspects of the patient's mental state that may be observed during routine history and/or physical exam. Proficiency in the cognitive portions of this...

State Space Representation

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2024

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system. Consider an RLC circuit, a...

Control Volume and System Representations

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2025

Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach). The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface. For instance, in the case of water flowing...

Graphical Representation of Inequalities

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2025

The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all points...

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