RT Journal Article SR Electronic T1 Inferences from a network to a subnetwork and vice versa under an assumption of symmetry JF bioRxiv FD Cold Spring Harbor Laboratory SP 034199 DO 10.1101/034199 A1 P.G.L. Porta Mana A1 E. Torre A1 V. Rostami YR 2015 UL http://biorxiv.org/content/early/2015/12/11/034199.abstract AB This note summarizes some mathematical relations between the probability distributions for the states of a network of binary units and a subnetwork thereof, under an assumption of symmetry. These relations are standard results of probability theory, but seem to be rarely used in neuroscience. Some of their consequences for inferences between network and subnetwork, especially in connection with the maximum-entropy principle, are briefly discussed. The meanings and applicability of the assumption of symmetry are also discussed.PACS: 87.19.L-,87.19.lo,05.90.+mMSC: 03B48,97K50