ArticleEntropy (Basel, Switzerland)2019
Macroscopic Cluster Organizations Change the Complexity of Neural Activity.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Excitatory/inhibitory ratio disruption modulates neural synchrony and flow directions in a cortical microcircuit.PLoS computational biology · 2025Article
- Spike timing-dependent plasticity under imbalanced excitation and inhibition reduces the complexity of neural activity.Frontiers in computational neuroscience · 2023Article
- Detecting autism from picture book narratives using deep neural utterance embeddings.International journal of language & communication disorders · 2022Article
- Spatiotemporal complexity patterns of resting-state bioelectrical activity explain fluid intelligence: Sex matters.Human brain mapping · 2020Article
- Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer's Disease.Frontiers in psychiatry · 2020Article
- Temporal-specific complexity of spiking patterns in spontaneous activity induced by a dual complex network structure.Scientific reports · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
In this study, simulations are conducted using a network model to examine how the macroscopic network in the brain is related to the complexity of activity for each region. The network model is composed of multiple neuron groups, each of which consists of spiking neurons with different topological properties of a macroscopic network based on the Watts and Strogatz model. The complexity of spontaneous activity is analyzed using multiscale entropy, and the structural properties of the network are analyzed using complex network theory. Experimental results show that a macroscopic structure with high clustering and high degree centrality increases the firing rates of neurons in a neuron group and enhances intraconnections from the excitatory neurons to inhibitory neurons in a neuron group. As a result, the intensity of the specific frequency components of neural activity increases. This decreases the complexity of neural activity. Finally, we discuss the research relevance of the complexity of the brain activity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.