Abstract
Neuronal oscillations are crucial for various cognitive functions, including
learning. Among neuronal populations, patterns of synchronization
can drive connectivity changes, in turn modifying oscillations and
synchronization. To study changes in oscillation patterns with learning,
we modeled brain processing using a directed random network
of phase-coupled oscillators interacting according to the Kuramoto
model
learning. Among neuronal populations, patterns of synchronization
can drive connectivity changes, in turn modifying oscillations and
synchronization. To study changes in oscillation patterns with learning,
we modeled brain processing using a directed random network
of phase-coupled oscillators interacting according to the Kuramoto
model
Original language | English |
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Title of host publication | BMC Neurosci 2017, 18(Suppl 1):60 |
Publisher | BioMed Central |
Pages | 164-165 |
Number of pages | 2 |
Volume | 18 |
DOIs | |
Publication status | Published - 18 Aug 2017 |