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Therefore, in a certain context, noise may be beneficial to the maintenance of biodiversity.
In that context, noise due to either (i) the random opening of ion channels [21], [22], (ii) fluctuations in the neurons' input currents [23], [24], and (iii) the incidence of a large number of stochastic synaptic inputs into a neuronal network [25] has been shown to be decreased with the system size.
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Thereafter, we present the experimental results for the proposed framework under varying contexts, noise types, and input SNRs.
Verb context led to strongest activation (6.1 nAm), followed by noun (4.9 nAm) and pseudoword (4.8 nAm) contexts; noise contexts elicited the smallest activation (4.2 nAm).
In the present study, we investigated MEG brain activity elicited by brief noise bursts placed in 4 different contexts (noise, pseudoword, noun, verb context).
In the end, we conclude that the list-length effect obtained from present experimental designs is insufficient for competitively testing item-noise and context-noise models of recognition.
Dennis, Lee, and Kinnell (2008) claimed that they obtained evidence for a null list-length effect (LLE) for recognition memory, and that their finding was consistent with context-noise models and inconsistent with item-noise models of memory.
However, a more thorough investigation of their data indicates that Dennis et al.'s findings are inconclusive, and their assertion that empirical observations of the LLE may distinguish between item-noise and context-noise models is debatable.
Moreover, we show that Dennis et al.'s findings support an item-noise model like the retrieving effectively from memory (REM) at least as well as a context-noise model.
In fact, their findings provide very little evidence in favor of a null LLE; there is actually a credible positive LLE in one condition of their experiment, a finding that context-noise models cannot explain.
When the context dependent noise was high but the intrinsic noise was low the "highP cells converted to "low P" easier than the opposite.
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