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Cognitive Neurodynamics

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30.11.2022 | Research Article

Inter-areal transmission of multiple neural signals through frequency-division-multiplexing communication

verfasst von: Hao Si, Xiaojuan Sun

Erschienen in: Cognitive Neurodynamics | Ausgabe 5/2023

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Abstract

Inter-areal information transmission in the brain cortex relates to cognitive functions. Researches used to pay attention to activity pattern transmission, signals gating, or routing in neuronal networks. However, the underlying mechanism of simultaneous transmission of multiple neural signals in the same channel across networks remains unclear. In this work, we construct a two-layer feedforward neuronal network (sender-receiver) with each layer’s intrinsic rhythms consisting of slow- (low-frequency) and fast- gamma rhythms (high-frequency), investigating how to realize simultaneous transmission of multiple signals in neuronal systems. With the aid of resonance and frequency analysis, it is shown that low- and high-frequency signals can be transmitted simultaneously in such a feedforward network through frequency division multiplexing (FDM) communication. The transmission performance is related to the local resonance, connectivity, as well as background noise. Moreover, low- and high-frequency signals can also be gated or selected with appropriate adjustments of recurrent connection strength and delay, and background noise. Our model might provide a novel insight into the underlying mechanism of complex signals communication between different cortex areas.

Vorheriger Artikel Influence of inhibitory autapses on synchronization of inhibitory network gamma oscillations

Nächster Artikel A computational network dynamical modeling for abnormal oscillation and deep brain stimulation control of obsessive–compulsive disorder

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Titel: Inter-areal transmission of multiple neural signals through frequency-division-multiplexing communication
verfasst von: Hao Si
Xiaojuan Sun
Publikationsdatum: 30.11.2022
Verlag: Springer Netherlands
Erschienen in: Cognitive Neurodynamics / Ausgabe 5/2023
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-022-09914-y

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