Distinct feedforward and feedback oscillatory processing in a full-scale spiking network model
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2019-05-01
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en
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Synchronisation between the LGN and infragranular cortical pacemakers in the range of α-oscillations are key to understanding directed information transfer between cortical areas. So far, little is known about the way resonance properties of single neurons enable networks to express oscillations characterising different directionalities for information processing. We inves-tigated whether neurons with a resonance frequency around 10 Hz facilitate differential feedfor-ward and feedback oscillations in simulated patches of visual cortex at full scale. To this end generalized integrate-and-fire neurons were introduced to the computational models of the local cortical microcircuit by Potjans and Diesmann (2014) and the multi-area model by Schmidt et al.(2018b). Multi-taper spectral, coherence and Granger-causal analyses provided evidence that a resonating population facilitates α-oscillations under modulation at 10 Hz. These oscillations spread passively in a simulated area V4 and propagated as "feedback" to a second area, repre-senting V1 of the visual cortex, replicating experimental studies by van Kerkoerle et al. (2014); Bastos et al. (2015a). Our findings support theories that resonating neurons act as infragranular pacemakers (Bollimunta et al., 2011; Buffalo et al., 2011) and suggest that their cross-frequency interactions with thalamic rhythms are relevant for controlling the direction of processing (Quax et al., 2017) along the cortical visual pathways.
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Faculteit der Sociale Wetenschappen