This is an inheritance symmetry property originating from the uncertainty of founder phases (ambiguity of inheritance vector interpretation).
The philosophy of science is another area where vector space interpretations of neural network activity patterns has impacted philosophy.
(This approach goes back to Hebb, 1949, although within the vector-space interpretation that follows).
The semi-automatical removal of these features and artefacts was based on topographical vector data, visual interpretations and slope analysis.
Points in and trajectories through vector spaces, as an interpretation of synaptic events and neural activity patterns in biological neural networks are key features of this new development.
The damage condition of the roads was determined by overlaying the secondary geological hazard vector obtained through image interpretation and the road vector file (Fig. 8).
We provide a paraconsistent before after interpretation for vector annotations representing bf-relations in bf-EVALPSN, and such a vector annotation is called a bf-annotation.
Throughout the paper, we will use the same notation for row and column vectors when the interpretation is obvious.
As the SVM has many unique properties, we examine the interpretation of support vector models with respect to neuroimaging data.
The interpretation of the vector variable σ depends on the cases: it is (proportional to) the spin vector in the case of Rashba Hamiltonian, while it is a pseudo-spin in the other two examples [2, 3].
