↓ Skip to main content

Virtual reality and consciousness inference in dreaming

Overview of attention for article published in Frontiers in Psychology, October 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
69 X users
facebook
3 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
258 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Virtual reality and consciousness inference in dreaming
Published in
Frontiers in Psychology, October 2014
DOI 10.3389/fpsyg.2014.01133
Pubmed ID
Authors

J. Allan Hobson, Charles C.-H. Hong, Karl J. Friston

Abstract

This article explores the notion that the brain is genetically endowed with an innate virtual reality generator that - through experience-dependent plasticity - becomes a generative or predictive model of the world. This model, which is most clearly revealed in rapid eye movement (REM) sleep dreaming, may provide the theater for conscious experience. Functional neuroimaging evidence for brain activations that are time-locked to rapid eye movements (REMs) endorses the view that waking consciousness emerges from REM sleep - and dreaming lays the foundations for waking perception. In this view, the brain is equipped with a virtual model of the world that generates predictions of its sensations. This model is continually updated and entrained by sensory prediction errors in wakefulness to ensure veridical perception, but not in dreaming. In contrast, dreaming plays an essential role in maintaining and enhancing the capacity to model the world by minimizing model complexity and thereby maximizing both statistical and thermodynamic efficiency. This perspective suggests that consciousness corresponds to the embodied process of inference, realized through the generation of virtual realities (in both sleep and wakefulness). In short, our premise or hypothesis is that the waking brain engages with the world to predict the causes of sensations, while in sleep the brain's generative model is actively refined so that it generates more efficient predictions during waking. We review the evidence in support of this hypothesis - evidence that grounds consciousness in biophysical computations whose neuronal and neurochemical infrastructure has been disclosed by sleep research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United Kingdom 2 <1%
Portugal 1 <1%
France 1 <1%
Italy 1 <1%
Uruguay 1 <1%
Chile 1 <1%
Taiwan 1 <1%
Spain 1 <1%
Other 2 <1%
Unknown 245 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 20%
Researcher 35 14%
Student > Master 35 14%
Student > Bachelor 33 13%
Professor 13 5%
Other 49 19%
Unknown 42 16%
Readers by discipline Count As %
Psychology 64 25%
Neuroscience 42 16%
Medicine and Dentistry 23 9%
Agricultural and Biological Sciences 20 8%
Computer Science 17 7%
Other 43 17%
Unknown 49 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 145. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2023.
All research outputs
#281,266
of 25,243,120 outputs
Outputs from Frontiers in Psychology
#586
of 34,104 outputs
Outputs of similar age
#2,619
of 262,247 outputs
Outputs of similar age from Frontiers in Psychology
#12
of 367 outputs
Altmetric has tracked 25,243,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,247 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.