Explicit timing is engaged whenever subjects make a deliberate estimate of discrete duration in order to compare it with a previously memorised standard. Conversely, implicit timing is engaged, even without a specific instruction to time, whenever sensorimotor information is temporally structured and can be used to predict the duration of future events. Both emergent timing (motor) and temporal expectation (perceptual) are forms of implicit timing. Recent fMRI studies demonstrate discrete neural substrates for explicit and implicit timing. Specifically, basal ganglia are activated almost invariably by explicit timing, with co-activation of prefrontal, premotor and cerebellar areas being more context-dependent. Conversely, implicit perceptua...
International audienceThe ability to predict when an event will occur allows us to respond optimally...
Accurate timing is an integral aspect of sensory and motor processes such as the perception of speec...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...
Temporal processing is frequently performed implicitly, when temporal calculations are required in o...
AbstractTemporal processing is frequently performed implicitly, when temporal calculations are requi...
We all have a sense of time. Yet, there are no sensory receptors specifically dedicated for perceivi...
Timing is crucial to many aspects of human performance. To better understand its neural underpinning...
Temporal expectations are considered as implicit timing, which is different from explicit timing. Fu...
How we compute time is not fully understood. Questions include whether an automatic brain mechanism ...
Human behavior is guided by expectations that facilitate perception of upcoming events or reaction t...
How we compute time is not fully understood. Questions include whether an automatic brain mechanism ...
It is not yet known whether the scalar properties of explicit timing are also displayed by more impl...
Neural representations of time for the judgment of temporal durations are reflected in electroenceph...
Time, the fourth dimension of the world, is an important parameter in many behaviours and cognitive ...
How we compute time is not fully understood. Questions include whether an automatic brain mechanism ...
International audienceThe ability to predict when an event will occur allows us to respond optimally...
Accurate timing is an integral aspect of sensory and motor processes such as the perception of speec...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...
Temporal processing is frequently performed implicitly, when temporal calculations are required in o...
AbstractTemporal processing is frequently performed implicitly, when temporal calculations are requi...
We all have a sense of time. Yet, there are no sensory receptors specifically dedicated for perceivi...
Timing is crucial to many aspects of human performance. To better understand its neural underpinning...
Temporal expectations are considered as implicit timing, which is different from explicit timing. Fu...
How we compute time is not fully understood. Questions include whether an automatic brain mechanism ...
Human behavior is guided by expectations that facilitate perception of upcoming events or reaction t...
How we compute time is not fully understood. Questions include whether an automatic brain mechanism ...
It is not yet known whether the scalar properties of explicit timing are also displayed by more impl...
Neural representations of time for the judgment of temporal durations are reflected in electroenceph...
Time, the fourth dimension of the world, is an important parameter in many behaviours and cognitive ...
How we compute time is not fully understood. Questions include whether an automatic brain mechanism ...
International audienceThe ability to predict when an event will occur allows us to respond optimally...
Accurate timing is an integral aspect of sensory and motor processes such as the perception of speec...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...