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计时过程:计时模型中未系统考虑的行为和神经指标概述。

Timing processes: an outline of behavioural and neural indices not systematically considered in timing models.

作者信息

Macar Françoise, Vidal Franck

机构信息

Laboratoire de Neurobiologie de la Cognition, CNRS-UMR 6155, Marseille, France.

出版信息

Can J Exp Psychol. 2009 Sep;63(3):227-39. doi: 10.1037/a0014457.

Abstract

This paper deals with two questions: what are the main characteristics of timing performance, and how do current timing models account for them? An outline of the most significant behavioural and neural indices of time processing is presented, with particular emphasis on the effects of activation and attention, and on data drawn from an important electrophysiological indice, the Contingent Negative Variation (CNV). A sample of influent timing models is then considered, ranged in two categories depending on whether they provide a representation of the time elapsing online between the limits of a target interval or a representation of the interval limits. The authors support the concept of online "pulse accumulation" as various types of cumulative mechanisms have been described at both neural and behavioural levels.

摘要

本文探讨了两个问题

时间处理性能的主要特征是什么,以及当前的时间模型如何解释这些特征?本文概述了时间处理最重要的行为和神经指标,特别强调了激活和注意力的影响,以及来自一个重要电生理指标——关联性负变(CNV)的数据。然后考虑了一系列有影响力的时间模型,根据它们是提供目标间隔范围内在线流逝时间的表示,还是提供间隔范围的表示,分为两类。作者支持在线“脉冲积累”的概念,因为在神经和行为层面都描述了各种类型的累积机制。

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