In feedforward networks with random connectivity, connection motifs underlying the detection of short clusters and activity sequences are likely to converge on a subset of postsynaptic neurons purely by chance.
Numerous related sample characteristics affect polygenic score performance, and incorporation of interaction effects increases both model and polygenic score performance.