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  • Don t Go Chasing Waterfalls: Motion Aftereffects and the . . .
    Recently, proponents of the so-called dynamic snapshot theory have appealed to the Waterfall Illusion, a kind of motion aftereffect, to support a particular view of temporal consciousness according to which experience is structured as a series of instantaneous snap-shots with dynamic qualities
  • Temporal Consciousness - Stanford Encyclopedia of Philosophy
    In ordinary conscious experience, consciousness of time seems commonplace For example, we are often aware of changes, movements, and successions unfolding over brief temporal intervals How is this possible? Many different models of temporal consciousness have been proposed
  • temporal experience - Johns Hopkins University
    There are differences between past and future in how much we know about them, in whether we can affect them, and other ways that have come under examination in this volume The past seems fixed, but there is a sense of openness about the future Change and movement are the rule rather than the exception
  • Minima sensibilia: Against the dynamic snapshot model of . . .
    Several authors have recently proposed dynamic snapshot models of temporal experience—such as Prosser and Arstila, building upon Le Poidevin—according to which, perceptual experience has no
  • Multiscale Snapshots: Visual Analysis of Temporal Summaries . . .
    We propose Multiscale Snapshots, a visual analytics approach to analyze temporal summaries of dynamic graphs at multiple temporal scales First, we recursively generate temporal summaries to abstract overlapping sequences of graphs into compact snapshots
  • The ebb and flow of experience determines the temporal . . .
    To support this view, we summarize evidence that even the simplest transitions between contexts during sequence learning modulate behavioral and neural encoding retrieval processes in ways that can both form and distinguish unique episodic events across time
  • Mining Long Short-Term Evolution Patterns for Temporal . . .
    Existing works only characterize the short-term evolution due to the limitations of modeling long sequences, or lack consideration of fine-grained differences between recent snapshots in time





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