Sentence examples for visual token from inspiring English sources

We see a lot of this in hierarchical societies where a visual token of apology is expected before things can be "normal" again.

For example the auditory token [lake] was dubbed on top of the visual token |rose| 800 ms after its onset.

So long as the individual retinal images can be regarded as the visual tokens of an actual arrangement of objects, it is possible to obtain a single percept, and there seems no reason to suppose that the final percept will be greatly influenced by the dominance of one or other eye.

A final set of incongruent audio-visual, Mismatch (MM), stimuli were created by mismatching auditory and visual tokens but maintaining the relative timing.

Auditory tokens were lined up with their corresponding visual tokens by matching the points of auditory onset in the tokens recorded by the external microphone and the video-camera's built-in microphone; auditory recordings were made at a sampling rate of 44.1 kHz.

This interpretation is in-line with the results of many studies showing that strings organized in chunks, from telephone numbers for humans to sequences of visual tokens to be learned by pigeons or rats, are memorized faster and better than strings with an equal number of items providing no chunking cues (e.g., Terrace 1987; Terrace and Chen 1991; Fountain et al. 2012).

We observe that audiovisual salient segments correlate mostly with Token-Token, Metaphor, and Metonymy relations, audio salient segments correlate mostly with Token-Token, Metonymy, and Type-Token, visual salient segments correlate with Metaphor and Type-Token, while semantic salient segments with Token-Token and Metaphor.

This phenomenon is generally attributed to the fact that the two repetitions activate the same identity representation (type) but fail to be encoded as distinct visual episodes (tokens) [20].

On the same token, the visual search mechanism proposed in this paper are assumed still to play an important role even when a serial mechanism is added to VS-SAIM in future versions.

During learning, the scene quantization module clusters the visual images set into scene tokens.

You can use tokens as a visual representation of time earned.