Related Experiment Video
Updated: Feb 13, 2026

06:31
Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
Published on: August 4, 2022
3.7K
The neural systems for perceptual updating.
Elisabeth Stöttinger1, Markus Aichhorn1, Britt Anderson2
1University of Salzburg, Center for Cognitive Neuroscience, Salzburg 5020, Austria.
Neuropsychologia
|March 19, 2018
Summary
The brain uses a general network, including the anterior insula and anterior cingulate cortex, for all perceptual updating. Specific areas activate for uncertainty or proactive/reactive updating decisions.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Decision Making
Background:
- Humans must adapt to changing environmental information.
- Previous work identified a network active during gradual perceptual updates.
Purpose of the Study:
- Investigate if brain activations reflect proactive updating decisions or perceptual uncertainty.
- Differentiate between uncertainty-driven and surprise-based updating mechanisms.
Main Methods:
- Utilized a picture morphing task with gradual and abrupt changes.
- Introduced conditions to control for perceptual uncertainty and differentiate updating types.
- Employed functional neuroimaging to observe brain activity.
Main Results:
- Confirmed robust activation in the anterior insula and anterior cingulate cortex (ACC) across all conditions.
- Found increased activation in the mid-cingulate cortex, cuneus, and right temporoparietal junction (TPJ) when participants were uncertain.
- Identified a network including the dorsal ACC associated with proactive updating decisions.
Conclusions:
- A common neural network supports all perceptual updating.
- Distinct networks are engaged for perceptual uncertainty and proactive/reactive updating.
- Findings elucidate the neural basis of adaptive decision-making in dynamic environments.
Related Concept Videos
Perceptual Constancy
1.5K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.5K
Second Order systems II
414
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
414
Neural Regulation
43.5K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.5K
First Order Systems
435
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
435
Second Order systems I
618
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
618
Thermodynamic Systems
8.3K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of tea boiling in a kettle. The...
Consider an example of tea boiling in a kettle. The...
8.3K

