Exact(3)
Sometimes their convergence reflects the postwar dream of universal connectivity; sometimes, the dystopian nightmare of machines run amok.
We propose that this convergence reflects an optimal ensemble size for episodic memories.SIGNIFICANCE STATEMENT One primary factor constraining memory capacity is the sparsity of the engram, the proportion of neurons that encode a single experience.
Gould distinguishes parallelism from convergence as follows (p. 1075): "...parallelism marks the formal influence of internal constraint, while convergence reflects the functional operation upon two substrates different enough to exclude internal factors as influences upon the resulting similarity".
Similar(57)
It has led to economic divergence rather than convergence, reflected in the dire state of Spain, Ireland, Greece and Portugal today.
Slower rates of convergence reflect a longer persistence of the original community characteristics and, thus, indicate higher resistance to the imposed environmental change.
If the convergence can result from local processing within IT, what is the contribution of network interactions, that is, of dynamical attractor states determined by the structure of recurrent connections in IT? Or, could the convergence reflect, in part, simple firing rate decay of individual IT neurons, expressed as a gradual decay, rather than network dynamics?
However, the capacity of these BSE-L derived agents to retain BSE-L derivedc tragentsftoretainoculation to BSEine phenotypicenic mice is a key questraitsremafterg to be demonstreinoculationw whetoer the obovined convergence truly reflects a PrPmanentransgenichift of the BSE-L agent rather than a phenotypic convergence in an experimiceal model.
Such low convergence likely reflects a combination of type I and type II error across the discovery and validation analysis.
These diverse mechanisms nonetheless converge and generate similar EMTed phenotypic endpoints (Thiery et al, 2009; Tam & Weinberg, 2013), and this convergence likely reflects a series of molecular features common to all cancers undergoing EMT (Jordan et al, 2011).
This convergence probably reflects the fact that the FAPC and ECLiPS are both parental-report measures, and the FAPC focuses on difficulties similar to those captured by the SAP and M&A factors of the ECLiPS.
Previous studies of marine tetrapods have frequently suggested that trophic convergence is reflected in the evolution of marine tetrapod cranial and dental morphology [ 5, 6, 14].
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