Functional and Neural Mechanisms of Interval TimingWarren H. Meck Understanding temporal integration by the brain is expected to be among the premier topics to unite systems, cellular, computational, and cognitive neuroscience over the next decade. The phenomenon has been studied in humans and animals, yet until now, there has been no publication to successfully bring together the latest information gathered from |
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... task, they will divide attention between timing the ongoing signal and monitoring for the onset of the interrupting event. This division of attention leads to shorter-than-normal duration judgments as a function of the location of the ...
... task, they will divide attention between timing the ongoing signal and monitoring for the onset of the interrupting event. This division of attention leads to shorter-than-normal duration judgments as a function of the location of the ...
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... task (e.g., Droit-Volet, 1998, this volume; Gautier and Droit-Volet, 2002). For example, when 3- and 51/ 2 -year-old children are asked to carry out a response duration task in which they are instructed to press longer or harder than in ...
... task (e.g., Droit-Volet, 1998, this volume; Gautier and Droit-Volet, 2002). For example, when 3- and 51/ 2 -year-old children are asked to carry out a response duration task in which they are instructed to press longer or harder than in ...
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Warren H. Meck. a tapping task performed in the absence of an external cue, their interresponse variance times being much higher than those of normal subjects. The deficits of cerebellar patients were not limited to tasks requiring ...
Warren H. Meck. a tapping task performed in the absence of an external cue, their interresponse variance times being much higher than those of normal subjects. The deficits of cerebellar patients were not limited to tasks requiring ...
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Contents
3 | |
Timing without a Clock | 23 |
Implications for OscillatorBased Representations of Interval and Circadian Clocks | 61 |
4 Toward a Unified Theory of Animal Event Timing | 77 |
5 Interval Timing and Optimal Foraging | 113 |
6 Nonverbal Representations of Time and Number in Animals and Human Infants | 143 |
7 Temporal Experience and Timing in Children | 183 |
Attention Clock Speed and Memory | 209 |
13 Electrophysiological Correlates of Interval Timing | 339 |
14 Importance of Frontal Motor Cortex in Divided Attention and Simultaneous Temporal Processing | 351 |
Anatomically Separate Systems or Distributed Processing? | 371 |
CorticoStriatal Mechanisms of Interval Timing and Birdsong | 393 |
17 Neuroimaging Approaches to the Study of Interval Timing | 419 |
18 Electrophysiological Evidence for Specific Processing of Temporal Information in Humans | 439 |
19 Cerebellar and Basal Ganglia Contributions to Interval Timing | 457 |
From Empirical Data to Timing Theory | 485 |
9 Attentional TimeSharing in Interval Timing | 235 |
Attention and Interval Timing in Older Adults | 261 |
11 Neurogenetics of Interval Timing | 297 |
12 Dopaminergic Mechanisms of Interval Timing and Attention | 317 |
An Image of Human Neural Timing | 515 |
Afterword | 533 |
Index | 541 |
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accumulator activity animals areas associated attention auditory basal ganglia Behav behavior brain break cells changes Church circadian cognitive compared components consistent cortex decision discrimination distribution divided duration effects estimation et al event evidence example expected experiments Figure foraging function gene Gibbon human increase indicate infants internal clock interval involved judgments learning longer mean measure mechanisms Meck memory modality motor neural neurons Neurosci observed occur older adults output parameters participants patients pattern peak perception performance period possible predictions presented Press procedure processing produced proposed Psychol pulses range rats reference reinforcement relative represent representation response role scalar shift short showed shown signal similar song specific speed standard stimulus studies subjects suggest switch task temporal theory trials values variability visual volume York