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Mind the gap: an attempt to bridge computational and neuroscientific approaches to study creativity

Overview of attention for article published in Frontiers in Human Neuroscience, July 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Mind the gap: an attempt to bridge computational and neuroscientific approaches to study creativity
Published in
Frontiers in Human Neuroscience, July 2014
DOI 10.3389/fnhum.2014.00540
Pubmed ID
Authors

Geraint A. Wiggins, Joydeep Bhattacharya

Abstract

Creativity is the hallmark of human cognition and is behind every innovation, scientific discovery, piece of music, artwork, and idea that have shaped our lives, from ancient times till today. Yet scientific understanding of creative processes is quite limited, mostly due to the traditional belief that considers creativity as a mysterious puzzle, a paradox, defying empirical enquiry. Recently, there has been an increasing interest in revealing the neural correlates of human creativity. Though many of these studies, pioneering in nature, help demystification of creativity, but the field is still dominated by popular beliefs in associating creativity with "right brain thinking", "divergent thinking", "altered states" and so on (Dietrich and Kanso, 2010). In this article, we discuss a computational framework for creativity based on Baars' Global Workspace Theory (GWT; Baars, 1988) enhanced with mechanisms based on information theory. Next we propose a neurocognitive architecture of creativity with a strong focus on various facets (i.e., unconscious thought theory, mind wandering, spontaneous brain states) of un/pre-conscious brain responses. Our principal argument is that pre-conscious creativity happens prior to conscious creativity and the proposed computational model may provide a mechanism by which this transition is managed. This integrative approach, albeit unconventional, will hopefully stimulate future neuroscientific studies of the inscrutable phenomenon of creativity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Germany 3 1%
Netherlands 1 <1%
Malta 1 <1%
Unknown 192 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 22%
Student > Master 29 14%
Researcher 21 10%
Student > Bachelor 21 10%
Student > Doctoral Student 13 6%
Other 41 20%
Unknown 31 15%
Readers by discipline Count As %
Psychology 58 29%
Neuroscience 25 12%
Computer Science 20 10%
Social Sciences 11 5%
Agricultural and Biological Sciences 8 4%
Other 40 20%
Unknown 39 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 September 2017.
All research outputs
#2,873,752
of 25,632,496 outputs
Outputs from Frontiers in Human Neuroscience
#1,353
of 7,738 outputs
Outputs of similar age
#27,926
of 240,544 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#64
of 250 outputs
Altmetric has tracked 25,632,496 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 82% 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 240,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.