Figure 7.
Local sensors can estimate network activity and sensor variety between cells does not yield better estimation success. A, A different activity sensor (Xi, i ϵ 1, 2, 3) in each model cell used individually to estimate the network outcome. The distribution of success rates from 366 sensors (20 bins) in each of the three cells are superimposed for comparison, which showed a different maximal success from each cell sensor. B, Combined sensor readings from three model cells to simulate a global sensor reading (50 bins). C, Classifiers with different weight and offset values were found for each of the different sensor types in each cell (for sensor parameters, see supplemental Table S2, available at www.jneurosci.org as supplemental material) for obtaining the best success rates in A. D, When the outputs of the best sensors from each cell are used together to classify functional networks, the signs of the individual weights found in C are maintained.