Putting big data to good use in neuroscience

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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, background): “growing anticipation of similar accomplishments in scientific disciplines [10], [11], [12].”
Network neuroscience (2017, background): “Neuroscience is entering a period marked by a rapid expansion in the size, scope and complexity of neural data acquired from large portions of nervous systems and spanning multiple levels of organization 1,2 .”
Colloquium: Criticality and dynamical scaling in living systems (2017, background): “3 See, e.g. Binney et al. (1993); De Gennes (1979); Delamotte (2012); Henkel et al. (2008); Sethna (2006); Stanley (1987); Täuber (2017). resolution (Sejnowski et al., 2014)– and, similarly, in genomics (Lesk, 2017) or in collective motion analyses (Cavagna et al., 2008).”
The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities (2024, unknown): “…ongoing conversations about how data sharing could be promoted and realized in the digital age ( Choud-hury et al., 2014 ; Insel et al., 2003 ; Poldrack and Poline, 2015 ; Poline et al., 2012 ; Sejnowski et al., 2014 ; Van Horn and Gazzaniga, 2002 ; Van Horn and Toga, 2009 ; Teeters et al., 2008 ).”