A review arguing that generalizing network structure does not escape the fundamental problems of intrinsicality, universality, and functional meaningfulness that already affect standard brain network models.
Brain temperature: what it means and what it can do for (cognitive) neuroscientists
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abstract
The effects of temperature on various aspects of neural activity from single cell to neural circuit level have long been known. However, how temperature affects the system-level of activity typical of experiments using non-invasive imaging techniques, such as magnetic brain imaging of electroencephalography, where neither its direct measurement nor its manipulation are possible, is essentially unknown. Starting from its basic physical definition, we discuss possible ways in which temperature may be used both as a parameter controlling the evolution of other variables through which brain activity is observed, and as a collective variable describing brain activity. These two aspects are further illustrated in the case of learning-related brain activity. Finally, methods to extract a temperature from experimental data are reviewed.
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Biological detail and graph structure in network neuroscience
A review arguing that generalizing network structure does not escape the fundamental problems of intrinsicality, universality, and functional meaningfulness that already affect standard brain network models.