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The proposed radial basis function least square error projection cascade network for sparse signal Recovery (RASR) utilizes the smoothed L0 norm optimization, L2 least square error projection and feedback network model to improve the signal recovery performance over the existing CSIANN algorithm.
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Neuronal cortical circuitry comprises feedforward, lateral, and feedback projections, each of which terminates in distinct cortical layers [ 1 3].
These results reveal that an asymmetry in the strength of feedforward and feedback projections can play an important role in segregation of timescales in biological systems.
However, we found no clear organization between the striatonigral projection and the maps of feedback inhibition.
Participants received visual instructions and feedback though a back-projection screen, viewed though a mirror.
The dendritic and axonal projection patterns of the MBONs and DANs suggest feedforward and feedback circuit motifs in the MB lobes.
Targets and feedback of hand position were presented by overhead projection.
The hypothesized feedforward and feedback inhibition via ZI both suggest a direct projection from central thalamus to ZI, which our fluorescence imaging data support.
A projection based feedback compression was utilized to project the high-dimensional channel space into a lower dimensional subspace [16].
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