Neural implementation of operations used in quantum cognition

被引：17

作者：

Busemeyer, Jerome R. ^{[1
]}

Fakhari, Pegah ^{[1
]}

Kvam, Peter

机构：

[1] Indiana Univ, Bloomington, IN 47405 USA

来源：

PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY | 2017年 / 130卷

关键词：

DECISION-MAKING; CHOICE; INTERFERENCE; COMPUTATION; BRAIN; MODEL; TIME; EXPLANATION; CONFIDENCE; MECHANICS;

D O I：

10.1016/j.pbiomolbio.2017.04.007

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Quantum probability theory has been successfully applied outside of physics to account for numerous findings from psychology regarding human judgement and decision making behavior. However, the researchers who have made these applications do not rely on the hypothesis that the brain is some type of quantum computer. This raises the question of how could the brain implement quantum algorithms other than quantum physical operations. This article outlines one way that a neural based system could perform the computations required by applications of quantum probability to human behavior. (C) 2017 Elsevier Ltd. All rights reserved.

引用

收藏

页码：53 / 60

页数：8

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