The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Predicting free choices for abstract intentions
Open accessAbstract
Unconscious neural activity has been repeatedly shown to precede and potentially even influence subsequent free decisions. However, to date, such findings have been mostly restricted to simple motor choices, and despite considerable debate, there is no evidence that the outcome of more complex free decisions can be predicted from prior brain signals. Here, we show that the outcome of a free decision to either add or subtract numbers can already be decoded from neural activity in medial prefrontal and parietal cortex 4 s before the participant reports they are consciously making their choice. These choice-predictive signals co-occurred with the so-called default mode brain activity pattern that was still dominant at the time when the choice-predictive signals occurred. Our results suggest that unconscious preparation of free choices is not restricted to motor preparation. Instead, decisions at multiple scales of abstraction evolve from the dynamics of preceding brain activity.
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Cited by
Hauser, T. U., Iannaccone, R., Ball, J., Mathys, C., Brandeis, D., Walitza, S., & Brem, S. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1093 · Cited by 168
Doing things with thoughts: brain–computer interfaces and disembodied agency
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Making sense of agency: Belief in free will as a unique and important construct
Feldman, G. (2017) · Social and Personality Psychology Compass · doi:10.1111/spc3.12293 · Cited by 106
Frontopolar activity and connectivity support dynamic conscious augmentation of creative state
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Decoding the Dynamics of Action, Intention, and Error Detection for Conscious and Subliminal Stimuli
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Metadata
- Authors
- Soon, C. S., He, A. H., Bode, S., & Haynes, J.-D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-03-18
- Volume
- 110
- Issue
- 15
- Pages
- 6217-6222
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2043848759
- Cited by
- 275
- References
- 75
- FWCI
- 10.77
- Type
- journal article
- Language
- en
- Open access
- green
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