454
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

The sacred and the absurd––an electrophysiological study of counterintuitive ideas (at sentence level)

, , , , , & show all
Pages 445-457
Received 25 Apr 2011
Accepted 08 Nov 2011
Accepted author version posted online: 17 Nov 2011
Published online: 06 Dec 2011
 
Translator disclaimer

Religious beliefs are both catchy and durable: They exhibit a high degree of adherence to our cognitive system, given their success of transmission and spreading throughout history. A prominent explanation for religion's cultural success comes from the “MCI hypothesis,” according to which religious beliefs are both easy to recall and desirable to transmit because they are minimally counterintuitive (MCI). This hypothesis has been empirically tested at concept and narrative levels by recall measures. However, the neural correlates of MCI concepts remain poorly understood. We used the N400 component of the event-related brain potential as a measure of counterintuitiveness of violations comparing religious and non-religious sentences, both counterintuitive, when presented in isolation. Around 80% in either condition were core-knowledge violations. We found smaller N400 amplitudes for religious as compared to non-religious counterintuitive ideas, suggesting that religious ideas are less semantically anomalous. Moreover, behavioral measures revealed that religious ideas are not readily detected as unacceptable. Finally, systematic analyses of our materials, according to conceptual features proposed in cognitive models of religion, did not reveal any outstanding variable significantly contributing to these differences. Refinements of cognitive models of religion should elucidate which combination of factors renders an anomaly less counterintuitive and thus more suitable for recall and transmission.

 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.