ArticleEntropy (Basel, Switzerland)2019
Increase in Mutual Information During Interaction with the Environment Contributes to Perception.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Editorial: Understanding the role of oscillations, mutual information and synchronization in perception and action.Frontiers in computational neuroscience · 2024Article
- The QBIT theory of consciousness: Entropy and qualia.Integrative psychological & behavioral science · 2023Article
- Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II.Frontiers in computational neuroscience · 2023Article
- The Self-Simulational Theory of temporal extension.Neuroscience of consciousness · 2023Article
- Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation.Entropy (Basel, Switzerland) · 2022Article
- Editorial: The role of the interactionsFrontiers in computational neuroscience · 2022Article
- A Model of Pattern Separation by Single Neurons.Frontiers in computational neuroscience · 2022Article
- Impulsive and Omission Errors: Potential Temporal Processing Endophenotypes in ADHD.Brain sciences · 2021Article
- Editorial: Understanding the Importance of Temporal Coupling of Neural Activities in Information Processing Underlying Action and Perception.Frontiers in computational neuroscience · 2021Article
- The QBIT Theory of Consciousness.Integrative psychological & behavioral science · 2020Article
- Editorial: Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain.Frontiers in computational neuroscience · 2020Article
- A Model of Memory Linking Time to Space.Frontiers in computational neuroscience · 2020Article
- Upper Limit on the Thermodynamic Information Content of an Action Potential.Frontiers in computational neuroscience · 2020Article
- Encoding Temporal Regularities and Information Copying in Hippocampal Circuits.Scientific reports · 2019Article
- Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning.Frontiers in computational neuroscience · 2019Article
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2 authors.
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Abstract
Perception and motor interaction with physical surroundings can be analyzed by the changes in probability laws governing two possible outcomes of neuronal activity, namely the presence or absence of spikes (binary states). Perception and motor interaction with the physical environment are partly accounted for by a reduction in entropy within the probability distributions of binary states of neurons in distributed neural circuits, given the knowledge about the characteristics of stimuli in physical surroundings. This reduction in the total entropy of multiple pairs of circuits in networks, by an amount equal to the increase of mutual information, occurs as sensory information is processed successively from lower to higher cortical areas or between different areas at the same hierarchical level, but belonging to different networks. The increase in mutual information is partly accounted for by temporal coupling as well as synaptic connections as proposed by Bahmer and Gupta (Front. Neurosci. 2018). We propose that robust increases in mutual information, measuring the association between the characteristics of sensory inputs' and neural circuits' connectivity patterns, are partly responsible for perception and successful motor interactions with physical surroundings. The increase in mutual information, given the knowledge about environmental sensory stimuli and the type of motor response produced, is responsible for the coupling between action and perception. In addition, the processing of sensory inputs within neural circuits, with no prior knowledge of the occurrence of a sensory stimulus, increases Shannon information. Consequently, the increase in surprise serves to increase the evidence of the sensory model of physical surroundings.
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