Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli

Research article (Scientific Reports, 2018) · cited 72× · AI/ML
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Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli

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Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli is a scholarly article[1].

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  • Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli. Retrieved May 24, 2026, from https://4ort.xyz/entity/random-neuronal-networks-show-homeostatic-regulation-of-global-activity-while-showing-persistent-changes-in-specific-con
MLA “Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/random-neuronal-networks-show-homeostatic-regulation-of-global-activity-while-showing-persistent-changes-in-specific-con.
BibTeX @misc{4ortxyz_random-neuronal-networks-show-homeostatic-regulation-of-global-activity-while-showing-persistent-changes-in-specific-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli}}, year = {2026}, url = {https://4ort.xyz/entity/random-neuronal-networks-show-homeostatic-regulation-of-global-activity-while-showing-persistent-changes-in-specific-con}, note = {Accessed: 2026-05-24}}
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