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These networks are chosen from their theoretical and practical features particularly the fact that MLP are neural global approximators, whereas RBF are neural local approximators [11].
Indeed, in a double classification from signal and global image, it is appropriated to classify the signal (sampled amplitude of signal which is more local than global) using neural local approximators (RBF), while, it is appropriated to classify the global image (area mean grey level of global image which is more global than local) using neural global approximators (MLP).
MLP and RBF networks can be used in a double classification in such a way to take advantage from their complementary classification performances (with a confidence parameter to enhance classification rates) as well as from their competitive classification performances [3], MLP are neural global approximators, whereas RBF are neural local approximators [11].
3) that: MLP and RBF networks can be used in a double classification in such a way to take advantage from their complementary classification performances (with a confidence parameter to enhance classification rates) as well as from their competitive classification performances [3], MLP are neural global approximators, whereas RBF are neural local approximators [11].
The tissue isolation required for in vitro experiments precludes any neural, local, physical, and/or hormonal influence on vascular physiology.
In addition, Lipogems® may improve the healing, osteointegration, and stability of the implants in newly formed bone [ 133] and can also improve the symptoms of fecal incontinence due to muscular and neural local trauma [ 134].
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We first illustrate a theoretical scheme and associated simulation evidence, proposing that in a multi-modular neural architecture local and distributed dynamic properties can be extracted from the local spiking activity of one pool of neurons in the network.
Although no explanation can be given from our data, it may indicate that beside hormonal and neural mechanisms, local factors may modify the diurnal variation of IOP.
With use of neural imaging, local increase in glucose uptake and metabolism and in oxygen demand can be imaged with positron-emitting glucose tracers, with water labeled with positron emitters or by magnetic spin, or with change in magnetic resonance signal, all of which can be seen as surrogate markers of regional brain activation.
In this paper, two alternative neural-based local modelling approaches are proposed.
Remarkably, hypothalamo-pituitary surgical disconnection (HPD) of the pituitary from the hypothalamus does not disrupt seasonal or circannual control of prolactin rhythms, strongly implicating a non-neural autonomous local mechanism in the regulation of this hormone [ 8, 9].
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