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Your correspondent instantly put his name down for a pair of Model B boards with one of the two distributors licensed by the Raspberry Pi Foundation, a charitable organisation linked to Cambridge University.
The others were charging a pair of Model Ss.
Our results were compared to a pair of model networks: one composed of linearly responding elements and a second of nonlinear, strain-stiffening elements.
As for the former, the difference is inferred by identifying the corresponding pair of model fragments (each of which belongs to each model) which belong to exclusive model fragment classes.
As for the latter, the difference is easily inferred by identifying the corresponding pair of model fragments (each of which belongs to each model) both of which give the (global) PPCs of the same class.
Lower diagonal shows the input(s) that differed in each pair of model comparison.
For all remaining compatible pairs of model and datasets, we first studied the ATP maximization hypothesis.
Analysis of deviance between these pairs of model fits provided formal tests of the additional information in GP88.
Each sub-sampling was run three times for each model allowing 27 pairs of model comparisons based on the thermodynamic integration value.
The trial-to-trial variation in simple-spike firing rate was correlated at a level of ∼0.16 between pairs of model Purkinje cells.
Specifically we assumed that noise correlations among pairs of model neurons are a linear function of their tuning similarity, or signal correlation (r signal, Figure 1B, insets).
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CEO of Professional Science Editing for Scientists @ prosciediting.com