ArticleScience advances2023
Modular architecture facilitates noise-driven control of synchrony in neuronal networks.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks.Communications engineering · 2026Article
- Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes.Nature communications · 2026Article
- Online supervised learning of temporal patterns in biological neural networks under feedback control.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Architecting Functional Polymers: Advances in Modular Synthesis, Responsive Design, and Multifaceted Applications.Polymers · 2026Review
- Symmetry breaking and avalanche shapes in modular neural networks.Frontiers in computational neuroscience · 2026Article
- Role of connectivity anisotropies in the dynamics of cultured neuronal networks.PLoS computational biology · 2025Article
- Microtube-integrated chips for modular electrical stimulation and 3D confined neural network growth.Microsystems & nanoengineering · 2025Article
- Spontaneous Dynamics Predict the Effects of Targeted Intervention in Hippocampal Neuronal Cultures.bioRxiv : the preprint server for biology · 2025Article
- Opportunities and Challenges of Brain-on-a-Chip Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- Inferring structure of cortical neuronal networks from activity data: A statistical physics approach.PNAS nexus · 2025Article
- Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modelingFrontiers in neuroscience · 2025Article
- Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024Article
- Modularity-based mathematical modeling of ligand inter-nanocluster connectivity for unraveling reversible stem cell regulation.Nature communications · 2024Article
- Revealing single-neuron and network-activity interaction by combining high-density microelectrode array and optogenetics.Nature communications · 2024Article
- Engineering anFrontiers in neuroscience · 2024Article
- Recent advances and applications of human brain models.Frontiers in neural circuits · 2024Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-level information processing in the mammalian cortex requires both segregated processing in specialized circuits and integration across multiple circuits. One possible way to implement these seemingly opposing demands is by flexibly switching between states with different levels of synchrony. However, the mechanisms behind the control of complex synchronization patterns in neuronal networks remain elusive. Here, we use precision neuroengineering to manipulate and stimulate networks of cortical neurons in vitro, in combination with an in silico model of spiking neurons and a mesoscopic model of stochastically coupled modules to show that (i) a modular architecture enhances the sensitivity of the network to noise delivered as external asynchronous stimulation and that (ii) the persistent depletion of synaptic resources in stimulated neurons is the underlying mechanism for this effect. Together, our results demonstrate that the inherent dynamical state in structured networks of excitable units is determined by both its modular architecture and the properties of the external inputs.
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