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Related Concept Videos

Perception01:28

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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.
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Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
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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...
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Increase in Mutual Information During Interaction with the Environment Contributes to Perception.

Daya Shankar Gupta1, Andreas Bahmer2

  • 1Biology Department, Camden County College, Blackwood, NJ 08012, USA.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary

Understanding perception and motor control involves analyzing neuronal activity. Increased mutual information in neural circuits, reflecting sensory input and connectivity, is key to perception and action.

Keywords:
Shannon informationaffordanceembedded cognitive theorysparse codingsurprisaltemporal couplingtemporal processing

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Area of Science:

  • Neuroscience
  • Information Theory
  • Computational Neuroscience

Background:

  • Perception and motor interaction rely on neuronal activity, specifically the binary states (spikes or no spikes) of neurons.
  • Changes in probability laws governing these binary states, particularly entropy reduction, are linked to processing environmental stimuli.
  • Existing research suggests mutual information increases with sensory processing across cortical areas and networks.

Purpose of the Study:

  • To propose that increased mutual information between sensory inputs and neural circuit connectivity underlies perception and motor control.
  • To investigate the role of mutual information in coupling action and perception.
  • To explore how processing sensory information without prior knowledge impacts Shannon information and surprise.

Main Methods:

  • Analysis of probability distributions of neuronal binary states.
  • Quantification of entropy reduction and mutual information in neural circuits.
  • Examination of information processing across hierarchical cortical areas and networks.

Main Results:

  • Perception and motor interaction are associated with reduced entropy in neuronal binary states.
  • Increased mutual information, reflecting sensory input characteristics and neural connectivity, is proposed as a key mechanism.
  • Mutual information increases during sensory processing, particularly between lower and higher cortical areas or different networks.

Conclusions:

  • Robust increases in mutual information are crucial for perception and successful motor interactions with the physical environment.
  • Mutual information links sensory stimuli, neural processing, and motor responses, explaining the action-perception coupling.
  • Processing novel sensory inputs increases Shannon information and surprise, strengthening the neural model of the environment.