ArticlePLoS computational biology2021
Transmission delays and frequency detuning can regulate information flow between brain regions.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Research on brain functional network property analysis and recognition methods targeting brain fatigue.Scientific reports · 2024Article
- Emergence of complex oscillatory dynamics in the neuronal networks with long activity time of inhibitory synapses.iScience · 2024Article
- Do we understand the prefrontal cortex?Brain structure & function · 2023Review
- Editorial to the Special Issue "Information Processing in Neuronal Circuits and Systems".Biology · 2023Article
- Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models.Frontiers in neuroscience · 2023Article
- Altered dynamical integration/segregation balance during anesthesia-induced loss of consciousness.Frontiers in network physiology · 2023Article
- A framework for macroscopic phase-resetting curves for generalised spiking neural networks.PLoS computational biology · 2022Article
- Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop.Scientific reports · 2022Article
- Article
- Information Transmission in Delay-Coupled Neuronal Circuits in the Presence of a Relay Population.Frontiers in systems neuroscience · 2021Article
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Authors and funding
4 authors.
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Abstract
Brain networks exhibit very variable and dynamical functional connectivity and flexible configurations of information exchange despite their overall fixed structure. Brain oscillations are hypothesized to underlie time-dependent functional connectivity by periodically changing the excitability of neural populations. In this paper, we investigate the role of the connection delay and the detuning between the natural frequencies of neural populations in the transmission of signals. Based on numerical simulations and analytical arguments, we show that the amount of information transfer between two oscillating neural populations could be determined by their connection delay and the mismatch in their oscillation frequencies. Our results highlight the role of the collective phase response curve of the oscillating neural populations for the efficacy of signal transmission and the quality of the information transfer in brain networks.
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