Sentence examples for selective learning from inspiring English sources

Exact(8)

The successful managers were also more aware of their limitations in experience or skills and compensated for them either with selective learning or by drawing on their colleagues' abilities.

Fred Dretske (1995) has argued that the intentionality of many of an individual's beliefs and desires results from an ontogenetic non-intentional process of selective learning.

They might also be considered "second order adaptations", in that it is possible that the selective learning mechanisms which help differentially transmit useful cultural traits might themselves be adaptations, and for the purpose of spreading and acquiring adaptive cultural traits for their possessors.

The selective learning process in nature acts on both failures and successes, but for an individual, learning from failure is literally a dead end--only success is rewarded by allowing a gene or a cell or an individual to grow and replicate itself.

Many adolescents with chronic diseases also have general cognitive impairment or selective learning problems and these patients may need the most assistance with transition.

If the oscillations formed are sufficiently separated in time, a spike-time sensitive learning rule in the connections between layers will enable selective learning about each population of input neurons.

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Similar(52)

In any case, our results cannot support the involvement of neurogenesis in the effects or enriched environment on a better motor performance or on the acquisition of selective associative learning tasks as instrumental learning.

The forager in the crib: Selective social learning of plant edibility in 6- and 18-month-old infants.

In this study, selective dictionary learning method is presented for detecting mitotic event phases in stem cells using phase contrast time-lapse microscopy images.

As a consequence, it would have been impossible to determine whether they suffered a selective structural learning impairment.

As expected from a multiplicative form of STDP (i.e. with soft bounds), a wide Gaussian hump had emerged in the distribution, but with a relatively large peak near the maximum end of the weight scale, corresponding to those synapses which had become strongly selective through learning.

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