File:Multiscale modeling – coupling PFC and PPC nodes of the person-specific BNMs with the corresponding modules of the generic DM circuit.webp
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[edit]DescriptionMultiscale modeling – coupling PFC and PPC nodes of the person-specific BNMs with the corresponding modules of the generic DM circuit.webp |
English: From the study "Learning how network structure shapes decision-making for bio-inspired computing"
"a Distribution of significant correlations between mean input of all BNM nodes and PMAT24_A_CR (p < 0.05 for 35 of 379 nodes), respectively PMAT24_A_RTCR (p < 0.05 for 26 of 379 nodes) over all N = 650 models. b, c Group-average PMAT24_A_CR versus DM performance (r = 0.77, p=7.2×10−5), respectively DM time (r = 0.69, p=7.2×10−4), for an exemplary combination of PFC and PPC nodes. Data are presented as mean values +/− SD over all N = 650 models each simulated 100 times with different random number generator seeds. d Distribution of significant correlations between group-average PMAT24_A_CR and DM time (p < 0.05 for 57 of 90 possible combinations), respectively, DM performance (p < 0.05 for 19 of 90 possible combinations) over all N = 650 models. Including only correlations that remained significant after controlling for multiple comparisons using the Benjamini-Hochberg procedure with a False Discovery Rate of 0.1." Study featured in '2023 in science' here. |
Date | |
Source | https://www.nature.com/articles/s41467-023-38626-y |
Author | Authors of the study: Michael Schirner, Gustavo Deco & Petra Ritter |
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