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Related Concept Videos

Perception01:28

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Perceptual Constancy01:12

Perceptual Constancy

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...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Subliminal Perception01:15

Subliminal Perception

Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...

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A Two-interval Forced-choice Task for Multisensory Comparisons
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Published on: November 9, 2018

Bistable perception modeled as competing stochastic integrations at two levels.

Guido Gigante1, Maurizio Mattia, Jochen Braun

  • 1Wolf Soluzioni, Rome, Italy. guido.gigante@iss.infn.it

Plos Computational Biology
|July 14, 2009
PubMed
Summary
This summary is machine-generated.

This study explains bistable perception as the collective dynamics of multiple neural populations. This collective race to a threshold mechanism explains perceptual variability and stability.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Bistable perception, characterized by alternating conscious experiences, remains incompletely understood.
  • Existing models often focus on individual neural populations, failing to explain key perceptual phenomena.

Purpose of the Study:

  • To propose a novel explanation for bistable perception based on the collective dynamics of neural populations.
  • To elucidate the mechanisms underlying the variability and stability observed in bistable perception.

Main Methods:

  • Development of a theoretical model positing meta-stable neural populations.
  • Analysis of noise-driven transitions and competitive interactions between distributed neural representations.
  • Mathematical modeling of a threshold mechanism resolving representational competition.

Main Results:

  • The collective dynamics of multiple meta-stable neural populations can generate bistable perception.
  • This model explains the wide range of alternation rates and variability in dominance periods.
  • The model accounts for the stabilizing effect of past perceptual states on current perception.

Conclusions:

  • Bistable perception arises from the collective behavior of neural populations, not individual units.
  • The proposed model offers a unified explanation for diverse observations in bistable perception.
  • This work highlights the importance of collective neural decision-making in perception.