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Data
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PIR gamma oscillations in network of resonators (Tikidji-Hamburyan et al. 2015)
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" ... The coupled oscillator model implemented with Wang–Buzsaki model neurons is not
sufficiently robust to heterogeneity in excitatory drive, and therefore intrinsic frequency, to account for in vitro models of ING. Similarly, in a
tightly synchronized regime, the stochastic population oscillator model is often characterized by sparse firing, whereas interneurons both in vivo
and in vitro do not fire sparsely during gamma,but rather on average every other cycle. We substituted so-called resonator neural models, which
exhibit class 2 excitability and postinhibitory rebound (PIR), for the integrators that are typically used. This results in much greater robustness
to heterogeneity that actually increases as the average participation in spikes per cycle approximates physiological levels. Moreover, dynamic
clamp experiments that show autapse-induced firing in entorhinal cortical interneurons support the idea that PIR can serve as a network gamma
mechanism. ..."
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Tikidji-Hamburyan RA, Martínez JJ, White JA, Canavier CC (2015) Show
Other
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Tikidji-Hamburyan, Ruben [ruben.tikidji.hamburyan at gmail.com] Show
Other
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rtikid@lsuhsc.edu
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NEURON+Python
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Tikidji-Hamburyan, Ruben [rath@gwu.edu]
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