Abstract
Brain function requires the control of inter-circuit interactions on timescales faster than synaptic changes. In particular, strength and direction of causal influences between neural populations (described by the so-called directed functional connectivity)must be reconfigurable even when the underlying structural connectivity is fixed. Such influences can be quantified through causal analysis of time-series of neural activity with tools like Transfer Entropy. But how can manifold functional networks stem from fixed structures? Considering model systems at different scales, like neuronal cultures or cortical multi-areal motifs, we show that “function and information follow dynamics”, rather than structure. Different dynamic states of a same structural network, characterized by different synchronization properties, are indeed associated to different directed functional networks, corresponding to alternative information flow patterns. Here we discuss how suitable generalizations of Transfer Entropy, taking into account switching between collective states of the analyzed circuits, can provide a picture of directed functional interactions in agreement with a “ground-truth” description at the dynamical systems level.
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Battaglia, D. (2014). Function Follows Dynamics: State-Dependency of Directed Functional Influences. In: Wibral, M., Vicente, R., Lizier, J. (eds) Directed Information Measures in Neuroscience. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54474-3_5
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DOI: https://doi.org/10.1007/978-3-642-54474-3_5
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