Systems-level integration of interval timing and reaction time

被引:93
|
作者
MacDonald, CJ [1 ]
Meck, WH [1 ]
机构
[1] Duke Univ, Dept Psychol & Brain Sci, Durham, NC 27708 USA
来源
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS | 2004年 / 28卷 / 07期
关键词
interval timing; time perception; temporal processing; reaction time; attention; memory; dopamine; basal ganglia; frontal-striatal circuits;
D O I
10.1016/j.neubiorev.2004.09.007
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Reaction time (RT) procedures are a prominent tool for the study of information processing by humans and other animals. The interpretation of how RT changes after manipulating the appropriate experimental variables has contributed to the contemporary understanding of a variety of cognitive constructs, including attention and memory. With the use of properly designed tasks, evaluating how RT is modified in response to various neural perturbations has become common within the realms of behavioral and cognitive neuroscience. One interesting observation made during both human and animal RT experiments is that the RT to a signal often speeds-up as more time is allotted to prepare for the signal's onset-referred to as the preparatory interval (PI) effect. In the human RT literature, the PI effect has been used as evidence for time estimation playing a fundamental role in the determination of RT. On the other hand, our theoretical understanding of time estimation remains largely divorced from the RT findings in the animal cognition literature. In order to bridge these different perspectives, we provide here a review of the behavioral parallels between RT and interval-timing experiments. Moreover, both the PI effect and interval timing are shown to be jointly influenced by neuropathologies such as Parkinson's disease in humans or dopamine-depleting brain lesions in experimental animals. The primary goal of this review is to consider human and animal RT experiments within the broader context of interval timing. This is accomplished by first integrating human RT theory with scalar timing theory-the leading model of interval timing. Following this, both RT and interval timing are discussed at a brain systems level insofar as these two processes share common neural substrates. Our conclusion is that interval timing and RT processes are in fact two sides of the same coin. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:747 / 769
页数:23
相关论文
共 50 条
  • [41] Developing a systems-level understanding of gene expression
    Olivier Elemento
    Genome Biology, 8 (4)
  • [42] A systems-level understanding of glycosylation signaling networks
    Hsieh-Wilson, Linda C.
    FASEB JOURNAL, 2018, 32 (01):
  • [43] A SYSTEMS-LEVEL APPROACH TO IMPROVING MOUTH CARE
    Zimmerman, S.
    Sloane, P.
    Ward, K.
    Reed, D.
    Cohen, L.
    GERONTOLOGIST, 2016, 56 : 674 - 674
  • [44] Back to the future: education for systems-level biologists
    Ned Wingreen
    David Botstein
    Nature Reviews Molecular Cell Biology, 2006, 7 : 829 - 832
  • [45] Manus Bio: Systems-Level Thinking for Biomanufacturing
    Parayil, Ajikumar
    INDUSTRIAL BIOTECHNOLOGY, 2021, 17 (06) : 321 - 322
  • [46] Systems-level organization of yeast methylotrophic lifestyle
    Russmayer, Hannes
    Buchetics, Markus
    Gruber, Clemens
    Valli, Minoska
    Grillitsch, Karlheinz
    Modarres, Gerda
    Guerrasio, Raffaele
    Klavins, Kristaps
    Neubauer, Stefan
    Drexler, Hedda
    Steiger, Matthias
    Troyer, Christina
    Al Chalabi, Ali
    Krebiehl, Guido
    Sonntag, Denise
    Zellnig, Guenther
    Daum, Guenther
    Graf, Alexandra B.
    Altmann, Friedrich
    Koellensperger, Gunda
    Hann, Stephan
    Sauer, Michael
    Mattanovich, Diethard
    Gasser, Brigitte
    BMC BIOLOGY, 2015, 13
  • [47] SYSTEMS-LEVEL EVALUATION OF AUTOMATED URBAN FREEWAYS
    JOHNSTON, RA
    CEERLA, R
    JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1994, 120 (06): : 877 - 896
  • [48] Quantitative systems-level determinants of drug targets
    Yao, Lixia
    Rzhetsky, Andrey
    BMC BIOINFORMATICS, 2008, 9 (Suppl 10)
  • [49] A Systems-Level Approach to Human Epileptic Seizures
    Christian Rummel
    Marc Goodfellow
    Heidemarie Gast
    Martinus Hauf
    Frédérique Amor
    Alexander Stibal
    Luigi Mariani
    Roland Wiest
    Kaspar Schindler
    Neuroinformatics, 2013, 11 : 159 - 173
  • [50] Quantitative systems-level determinants of drug targets
    Lixia Yao
    Andrey Rzhetsky
    BMC Bioinformatics, 9