Identification of Functionally Interconnected Neurons Using Factor Analysis
Table 6
(a) Average loading matrices obtained for the interconnection scheme of Figure 2(a) using neural network model. These were calculated for different numbers of neurons. The weighting values have uniform distribution with parameters [0–0.3]. . Two Hundred simulations were realized for each situation. They are highlighted in bold font for situations where the identification of the connections was correct and incorrect situations are in italic font. (b) Average loading matrices obtained for the interconnection scheme of Figure 2(a) using neural network model. These were calculated for different numbers of neurons. The weighting values have uniform distribution with parameters [0–0.8]. . Two hundred simulations were realized for each situation. They are highlighted in bold font for situations where the identification of the connections was correct and incorrect situations are in italic font. (c) Average loading matrices obtained for the interconnection scheme of Figure 2(a) using neural network model. These were calculated for different numbers of neurons. The weighting values have uniform distribution with parameters [0–0.3]. . Two hundred simulations were realized for each situation. They are highlighted in bold font for situations where the identification of the connections was correct and incorrect situations are in italic font. (d) Average loading matrices obtained for the interconnection scheme of Figure 2(a) using neural network model. These were calculated for different numbers of neurons. The weighting values have uniform distribution with parameters [0–0.8]. . Two Hundred simulations were realized for each situation. They are highlighted in bold font for situations where the identification of the connections was correct and incorrect situations are in italic font. (e) Average loading matrices obtained for the interconnection scheme of Figure 2(a) using neural network model. These were calculated for different numbers of neurons. The weighting values have uniform distribution with parameters [0–0.3]. . Two Hundred simulations were realized for each situation. They are highlighted in bold font for situations where the identification of the connections was correct and incorrect situations are in italic font. (f) Average loading matrices obtained for the interconnection scheme of Figure 2(a) using neural network model. These were calculated for different numbers of neurons. The weighting values have uniform distribution with parameters [0–0.8]. . Two Hundred simulations were realized for each situation. They are highlighted in bold font for situations where the identification of the connections was correct and incorrect situations are in italic font.
