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I present an alternative view whereby objects' representation and recognition are based on parallel representation of space by primary visual cortex (V1) responses.
That is, when dissociations between categorization and recognition are based on different stimuli it is difficult to determine if the reported differences are due to the underlying processes, rather than some difference in the stimuli.
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Recognition is based on knowledge and familiarity is based on feeling, but neither entails the other.
Doctors' pattern recognition is based on more than a symptom or two.
The recognition is based on results of Sats taken in May last year.
Today, most mainstream biometric recognition is based on fingerprint, palm, iris, facial and voice recognition.
Recognition is based on comparison of the analyzed scene with reference object library.
The recognition is based on combined PCA of impact acoustics and ANN classifier.
Handwriting recognition is based on a fusion of analytic and holistic methods together with contextual processing based on trigrams.
The actual recognition is based on finding the most likely sequence of units that has produced the acoustic input signal.
This recognition is based on the specific interaction of target molecule with the detection part of the nanoprobe.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com