Sentence examples for input to pattern from inspiring English sources

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The TRs within each block were averaged, resulting in a single average data point value per block that was used as the input to pattern classification analysis.

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The images corresponding to the GLM coefficients for each experimental condition (intense happy, mild happy, and neutral) defined the spatial patterns (i.e., vector of features) used as input to the pattern recognition approach.

These are the estimates that we use as the input to the pattern classification algorithm described below.

These single trial response estimates (beta weights), taken according to the corresponding subregion of V1 (see POIs i iii above), were the input to the pattern classifier.

The synaptic plasticity that enables these changes to take place is at a maximum in the developing brain, which uses sensory input to refine patterns of connectivity as the animal learns about the outside world.

Similarly, since the SEG sends permissive tonic inputs to thoracic pattern generators [24], inhibition of SEG activity could also depress walking in response to sensory stimuli, such as those used in the present study, although the stimuli used here do not involve a preparatory phase and the sequential recruitment of SEG and SupEG interneurons does not take place.

While the Bcd gradient profile is relatively smooth following an exponential function along the A-P axis, its target genes respond to this concentration gradient input to achieve expression patterns with relatively sharp boundaries [9], [10], [11], [12], [13].

The sorted motif occurrences and the relevant set of upstream regions were input to the dna-pattern program.

ELIZA relied on matching user inputs to stored patterns (brief word sequences interspersed with numbered slots, to be filled from the input), and returned one of a set of output templates associated with the matched input pattern, instantiated with material from the input.

Sensory input to the lamprey central pattern generator (CPG) for locomotion is known to have a significant role in modulating lamprey swimming.

Our proposed detectors used a set of d-dimensional feature vectors that characterize the EEG seizure and non-seizure patterns as input to a supervised statistical classifier.

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