[Neuroinfo] Announcing our recent paper in Frontiers in Computational Neuroscience

[Sachin talathi]

http://journal.frontiersin.org/article/10.3389/fncom.2015.00127/abstract

Title: *Emergent Synchronization in All-to-all interneuronal networks*

Abstract:
We investigate the emergence of in-phase synchronization in a heterogeneous
network of coupled inhibitory interneurons in the presence of spike timing
dependent plasticity (STDP). Using a simple network of two mutually coupled
interneurons (2-MCI), we first study the effects of the STDP on in-phase
synchronization. We demonstrate that, with STDP, the 2-MCI network can
evolve to either a state of stable 1:1 in-phase synchronization or exhibit
multiple regimes of higher order synchronization states. We show that the
emergence of synchronization induces a structural asymmetry in the 2-MCI
network such that the synapses onto the high frequency firing neurons are
potentiated, while those onto the low frequency firing neurons are
de-potentiated, resulting in the directed flow of information from low
frequency firing neurons to high frequency firing neurons. Finally, we
demonstrate that the principal findings from our analysis of the 2-MCI
network contribute to the emergence of robust synchronization in the
Wang-Buzsaki network (Wang and Buzsaki, 1996) of all-to-all coupled
inhibitory interneurons (100-MCI) for a significantly larger range of
heterogeneity in the intrinsic firing rate of the neurons in the network.
We conclude that STDP of inhibitory synapses provide a viable mechanism for
robust neural synchronization.


Best
-Sachin

Research Staff Member,
Qualcomm Corporate Research
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