2017
Can predictive coding explain past experiences?
LANG, Martin and Radek KUNDTBasic information
Original name
Can predictive coding explain past experiences?
Authors
LANG, Martin (203 Czech Republic, guarantor, belonging to the institution) and Radek KUNDT (203 Czech Republic, belonging to the institution)
Edition
London, 3 pp. Religion, Brain & Behavior, roč. 7, č. 1, s. 71-73, 2017
Publisher
Routledge
Other information
Language
English
Type of outcome
Survey and educational texts
Field of Study
60304 Religious studies
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14210/17:00095850
Organization unit
Faculty of Arts
ISSN
UT WoS
000394455000009
Keywords in English
religious experience; hierarchical predictive coding; cognitive science of religion
Tags
Tags
International impact, Reviewed
Changed: 18/11/2021 12:42, Mgr. Michal Petr
Abstract
In the original language
In their target article, Taves and Asprem suggest disassembling religious experiences into events, and studying the formation and interpretation of religious experiences using the approach of cognitive science. We support such an approach and especially embrace using experimental methods to better understand how religious experiences can be generated. However, we are concerned with the feasibility of using first-person narratives to reconstruct “originatory events.” The study of unusual experiences has not been prominent in the cognitive science of religion (CSR), as the authors note, because of “the difficulties inherent in the use of first-person narratives.” Although Taves and Asprem try to address some of these difficulties (e.g., bias in recollecting past events), there is a host of remaining issues that might significantly impede the attempt to rehabilitate the first-person accounts as a prime data source for CSR. We identify and outline three crucial problems and suggest that clarifying these issues might advance the approach proposed by Taves and Asprem.
Links
EE2.3.20.0048, research and development project |
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