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An analytical framework to investigate neuronal synchronization and network oscillations: phase oscillators and beyond
Held by Roberto Fernández Galán, PhD (Case Western Reserve University, USA)
Abstract:
In the first part of my presentation I will talk
about the phase-oscillator approximation in neuroscience and its
application to studying the formation of synchronized cell assemblies
in neuronal networks, as well as two phenomena that are closely
related to each other: stochastic synchronization and spike-time
reliability. I will also present experimental results verifying some
of the theoretical predictions. In the second part of my talk, I will
present some recent results from my lab on how network oscillations,
like those recorded with EEG or MEG, inform us about the structure of
the network. In particular, I will show that networks that generate
rhythms like those observed in EEG recordings from healthy individuals
have a pronounced hierarchical structure, whereas networks generating
rhythms like those observed in EEG from epileptic and, especially,
schizophrenic patients are less hierarchical and display lower
structural complexity.
For further information, http://www.case.edu/med/galanlab [1].
Related literature:
R. F. Galán (2009). The phase oscillator
approximation in neuroscience: An analytical framework to study
coherent activity in neural networks. In: Coordinated Activity in the
Brain: Measurements and Relevance to Brain Function and Behavior.
Springer Series in Computational Neuroscience. [Table of contents
[2]].
R. F. Galán (2011). Cellular mechanisms underlying
spike-time reliability and stochastic synchronization: Insights and
predictions from the phase-response curve. In: Phase Response Curves
in Neuroscience. Springer Series in Computational Neuroscience. [Table
of contents [3]].
G. K. Steinke and R. F. Galán (2011). Brain
Rhythms Reveal a Hierarchical Network Organization. PLoS Comput Biol
7(10): e1002207. Available online [4] on October 13th
2011.
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