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In the recent years, remarkable progress has been made in decoding the death receptor network.
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Much progress has been made in recent years in decoding the molecular mechanisms underlying each of these taste qualities [3].
While great progress has been made in BMI design, current approaches for decoding neural activity into behavior completely ignore the major aspects of the PARC by relying heavily only on the primary motor representation of behavior [7] [9].
Attempts have been made in previous studies using fMRI decoding approaches to demonstrate that unique hues can be principal axes for the representation of colors in human V1 (Parkes et al. 2009), though a clear correspondence between hue-selective histograms and unique hues was not found in the present study (Figs 3 and 4; see also Supplementary Fig. 9 for further discussion).
Stimulating advances in risk prediction have also been made in the field of cardiology: by adding 9p21 and another seven genetic risk factors to traditional CAD risk factor models, the deCODE MI™ (deCODE Genetics, Iceland) test demonstrated increased sensitivity to predict myocardial infarction.
As a caveat, no attempt was made in the FF system to detect and ameliorate decoding failures.
Scientists are making strides in decoding the language of the brain, but the tools used to communicate with it remain crude.
In practice, a compromise should be made between the decoding performance and the implementation complexity when setting this parameter.
This strategy was made possible by advances in multivariate decoding, which can detect stimulus-specific information in brain activity, and evaluate its localization (Kamitani and Tong, 2005; Haynes and Rees, 2006; Haynes, 2009) and its time course (King and Dehaene, 2014).
This simplification based on the orthogonality property reduces the complexity of the decoder from (cM_{2}^{n_{s}}) to n s c M 2. A further reduction in decoding complexity can be made using two sequential steps, with an accepted loss in BER performance.
Therefore, the first decoding decision is made based on STBC layer first so as to decrease the probability of error in decoding the V-BLAST layer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com