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Monday, July 20 • 9:00pm - 10:00pm
P136: Effect of Independent Noise on the Synchronization of Interacting Excitatory-Inhibitory Networks

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Lucas Rebscher, Christoph Metzner

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Gamma rhythms play a major role in different processes in the brain, such as attention, working memory and sensory processing. The communication-through- coherence (CTC) hypothesis [1, 2] suggests that synchronization in the gamma band is one of the key mechanisms in neuronal communication and counterintuitively noise can have beneficial effects on the communication [3].

Recently, Meng et al. [4] showed that synchronization across interacting networks of inhibitory neurons increases while synchronization within these networks decreases when neurons are subject to independent noise. They focused on inhibitory-inhibitory connections with gamma band activity produced by the interneuronal network gamma mechanism (ING). However, experimental and modeling studies [5] point towards an important role of the pyramidal- interneuronal network gamma (PING) mechanism in the cortex and the established view is that cortico-cortical connections are predominately excitatory [6].

We build up on Meng et al. [4] results and intend to verify if their findings can be observed in interacting gamma rhythms produced by a PING mechanism. In our ongoing research we model interacting excitatory-inihibitory networks and analyze how synchronization changes depending on strength and correlation of noise in different network settings. We expect to see the same effect in our model as (1) the delay of spiking by inhibition is integral to both ING and PING and (2) Meng et al. [4] replicated the effect in different neuron models as well as relaxation oscillators.

Uncovering whether, and if yes, under which conditions, stochastic fluctuations can also have beneficial effects on gamma oscillations produced by a PING mechanism, would further our understanding of inter-regional communication. However, importantly, it might also yield mechanistic explanations for altered neuronal dynamics in psychiatric disorders, since for example, disturbances in neuronal oscillations in the gamma band, especially reduced synchronization, are a key finding in schizophrenia [7].


[1] Fries, P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn Sci. 2005, 9(10), 474-480.
[2] Fries P. Rhythms for cognition: communication through coherence. Neuron. 2015, 88(1), 220-235.
[3] McDonnell MD, Ward LM. The benefits of noise in neural systems: bridging theory and experiment. Nat Rev Neurosci. 2011, 12(7), 415-425.
[4] Meng JH, Riecke H. Synchronization by uncorrelated noise: interacting rhythms in interconnected oscillator networks. Sci Rep. 2018, 8(1), 1-14.
[5] Tiesinga P, Sejnowski TJ. Cortical enlightenment: are attentional gamma oscillations driven by ING or PING?. Neuron. 2009, 63(6), 727-732.
[6] Lodato S, Arlotta P. Generating neuronal diversity in the mammalian cerebral cortex. Annu Rev Cell Dev Biol. 2015, 31, 699-720.
[7] Uhlhaas P, Singer W. Oscillations and neuronal dynamics in schizophrenia: the search for basic symptoms and translational opportunities. Biol Psychiatry. 2015, 77(12), 1001-1009.

avatar for Lucas Rebscher

Lucas Rebscher

Master Student, Neural Information Processing, TU Berlin

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Monday July 20, 2020 9:00pm - 10:00pm CEST
Slot 01