The role of interconnected hub neurons in cortical dynamics
© Setareh et al; licensee BioMed Central Ltd. 2014
Published: 21 July 2014
The structure of synaptic connectivity plays an important role in information processing and dynamics of neuronal microcircuits. Previous work has shown that cortical microcircuits contain non-random features of the network structure , and that these affect neuronal dynamics . Earlier models of non-random network structure proposed local correlations in synaptic weight or connection number (degree) [3, 4]. In such network models, there are neurons receiving stronger synaptic weights or higher numbers of synapses compared to other neurons. Here, we refer to the former neuron type as hub neuron, or simply hub. In other words, a hub receives strong synapses, but not necessarily a higher number of synapses. Importantly, a hub results from the structure of the network and not from differences in neuron parameters. Here we introduce the network feature of connectedness of hub neurons. We show that an elevated connection probability between hubs affects various aspects of network activity, ranging from spontaneous oscillations to the response of cortical populations to stimulation.
A subpopulation of connected hubs can be analyzed using common mean-field methods. This analysis reveals two stable fixed points of the spiking activity, one at a low firing rate and another one at a high firing rate.
Research was supported by the European Research Council (grant agreement no. 268 689, H.S.), the European Community’s Seventh Framework Program (Grant Agreement no. 269921, BrainScaleS, H.S and M.D.) and the Swiss National Science Foundation (grant agreement no. 200020_147200, M.D.).
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