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Free Will and Neuroscience: From Explaining Freedom Away to New Ways of Operationalizing and Measuring It

Overview of attention for article published in Frontiers in Human Neuroscience, June 2016
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
102 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
5 Google+ users
reddit
3 Redditors
video
4 YouTube creators

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
237 Mendeley
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Title
Free Will and Neuroscience: From Explaining Freedom Away to New Ways of Operationalizing and Measuring It
Published in
Frontiers in Human Neuroscience, June 2016
DOI 10.3389/fnhum.2016.00262
Pubmed ID
Authors

Andrea Lavazza

Abstract

The concept of free will is hard to define, but crucial to both individual and social life. For centuries people have wondered how freedom is possible in a world ruled by physical determinism; however, reflections on free will have been confined to philosophy until half a century ago, when the topic was also addressed by neuroscience. The first relevant, and now well-known, strand of research on the brain correlates of free will was that pioneered by Libet et al. (1983), which focused on the allegedly unconscious intentions taking place in decisions regarded as free and voluntary. Libet's interpretation of the so-called readiness potential (RP) seems to favor a sort of deflation of freedom (Soon et al., 2008). However, recent studies seem to point to a different interpretation of the RP, namely that the apparent build-up of the brain activity preceding subjectively spontaneous voluntary movements (SVM) may reflect the ebb and flow of the background neuronal noise, which is triggered by many factors (Schurger et al., 2016). This interpretation seems to bridge the gap between the neuroscientific perspective on free will and the intuitive, commonsensical view of it (Roskies, 2010b), but many problems remain to be solved and other theoretical paths can be hypothesized. The article therefore, proposes to start from an operationalizable concept of free will (Lavazza and Inglese, 2015) to find a connection between higher order descriptions (useful for practical life) and neural bases. This new way to conceptualize free will should be linked to the idea of "capacity": that is, the availability of a repertoire of general skills that can be manifested and used without moment by moment conscious control. The capacity index, which is also able to take into account the differences of time scales in decisions, includes reasons-responsiveness and is related to internal control, understood as the agent's ownership of the mechanisms that trigger the relevant behavior. Cognitive abilities, needed for one to have capacity, might be firstly operationalized as a set of neuropsychological tests, which can be used to operationalize and measure specific executive functions, as they are strongly linked to the concept of control. Subsequently, a free will index would allow for the search of the underlying neural correlates of the capacity exhibited by people and the limits in capacity exhibited by each individual.

X Demographics

X Demographics

The data shown below were collected from the profiles of 102 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
Germany 1 <1%
Italy 1 <1%
Luxembourg 1 <1%
Unknown 233 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 58 24%
Student > Master 38 16%
Researcher 25 11%
Student > Ph. D. Student 21 9%
Professor 10 4%
Other 26 11%
Unknown 59 25%
Readers by discipline Count As %
Psychology 66 28%
Neuroscience 34 14%
Agricultural and Biological Sciences 13 5%
Medicine and Dentistry 10 4%
Philosophy 10 4%
Other 38 16%
Unknown 66 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 107. 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 29 March 2024.
All research outputs
#404,789
of 25,856,138 outputs
Outputs from Frontiers in Human Neuroscience
#169
of 7,768 outputs
Outputs of similar age
#7,781
of 355,168 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#6
of 200 outputs
Altmetric has tracked 25,856,138 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 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 97% 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 355,168 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 97% of its contemporaries.
We're also able to compare this research output to 200 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.