Bernal S D_2010.pdf - University of Plymouth

4.3. LEARNING
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CI band = 8,6Nci = 22
C1 RF site = ANc, x ANc, (locations) x 2 (S1 bands)
Figure 4.8: Weight matrices between a Cl node and its affereni SI nodes. These are learned
from the training datusei of fiO object silhoueiies following the clustering procedure
described, and rejircseni the Ki-\f.,„up - 10 most common urrangemenl of SI
nodes for each Cl group and scale band. Note, for each .scale band the pooling
range, AiVfi. varies. The weights obtained show very clear and selective patterns
which match what would be expected statistically from natural images, i.e. the
arrangemenl of the SI nodes tends to match the SI orienlalion of the unit, which
speaks for a coherence between the local and more global pallems. Note tliat each
Cl node receives inpui from the S! nodes at 2 scale hands, and these weights are
represented adjacent lo each other, e.g. weights for a Cl node in scale band 1 receive
input from .SI ntxles in scale bands 1 and 2, and ;u'e therefore shown as two
8x8 adjacent matrices =16x8 elements.
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