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We use these probabilities in two ways in this paper: (1) by classifying all components to the class for which the highest probability was predicted, we clean the data by removing all components not classified as neural and (2) we use the probabilities of the components being neural to determine the order of component removal.
Components were removed in order of decreasing probability of being neural as determined by IC_MARC, except for SSD, where components were removed in order of decreasing SNR.1 The results are in line with the general picture presented in Fig. 2 and Table 1, which show the case of retaining all ICs whose highest probability was for the neural class.
Second, the observation that a subset of Müller cells could engage Notch and Wnt pathways and activate the expression of genes corresponding to intrinsic regulators of the cell cycle [13], chromatin remodeling [57], and neurogenic potential [13] suggest that they are intrinsically capable of being neural stem cells.
There are six CAMK2D isoforms reported by RefSeq [ 21] and a seventh that was identified by Clark et al. 2007, which we also validated as being neural specific.
Neural 1 of PMOL-SGP A0100-1 and 3 is quadrangular whereas it is hexagonal with short sides facing posterolaterally in PMOL-SGP A0100-2 the quadrangular element being neural 2 instead.
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WHAT are "neural nets"?
What you have to have is neural networks - very extensive networks of connections.
There are neural stem cells and mechanisms of plasticity, which involve how the brain changes with experience or recovers from injury.
Richard Salvi, director of the Center for Hearing and Deafness at the State University of New York at Buffalo, said the static could be "neural noise" — the sound of nerves firing.
Epileptic fits appear to be neural bursts that have run out of control.
Deep learning models are neural networks with more layers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com