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The two major frameworks for understanding time perception: dedicated models and intrinsic models. Dedicated models propose the existence of specialized mechanisms for representing temporal relationships between events, while intrinsic models suggest that duration could be encoded as spatial patterns of activity in a neural network or as the magnitude of neural activity. The authors discuss the implications and challenges of both approaches, as well as recent developments in time perception research.
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Review
Corresponding author: Ivry, R.B. ([email protected]).
1364-6613/$ – see front matter ß 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.tics.2008.04.002 Available online 6 June 2008 (^273)
Figure 1. Neural models for temporal representation. The top two panels depict two dedicated models. (a) A neural structure might be specialized to represent temporal information. The example shows the cerebellum as a dedicated system, although some models postulate a specialized role for the basal ganglia, supplementary motor area or right prefrontal cortex. (b) A dedicated system could involve activity across a distributed network of neural regions. The bottom two panels depict two models for modality-specific intrinsic timing. (c) In a state-dependent network, temporal patterns are represented as spatial patterns of activity across a neural network. (d) In an energy readout model, elapsed time corresponds to the amount of neural activity.
Does training people on time-perception tasks in one modality transfer to other modalities? Are transfer benefits specific to judgments of time or do they reflect reductions in other sources of variability, such as those related to sensory detection or decision processes? Transfer designs also would be ideal for neurophy- siological studies of time perception. For example, are the ramping functions evident in neural activity related to encoding the passage of time or preparation of specific responses? Could intermodal transfer be related to crossmodal projections between primary sensory areas [73], or would it depend on activity in association regions of cortex? In studies of patients with neurological disorders, deficits in temporal representation generally are manifest as increases in variability. By contrast, recent psychophysical studies have focused on manipulations that distort perceived duration, in other words, a change in the mean. How do changes in mean occur in intrinsic models of temporal processing, and what are the consequences of these changes on measures of variability? More generally, are temporal distortions the result of changes in the mechanisms used to represent temporal information, or do they reflect the influence of nontemporal processes on performance (see Figure 2)? What kinds of neural mechanisms can extend the temporal range for intrinsic models, or will these models be limited to the perception of very short intervals, similar to that proposed by Karmarkar and Buonomano [7]?
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