ArticleFrontiers in computational neuroscience2017
Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons.
Article in Frontiers in computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.PLoS computational biology · 2024Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.bioRxiv : the preprint server for biology · 2024Article
- Single spikes drive sequential propagation and routing of activity in a cortical network.eLife · 2023Article
- Metastable dynamics of neural circuits and networks.Applied physics reviews · 2022Review
- The Role of Hub Neurons in Modulating Cortical Dynamics.Frontiers in neural circuits · 2021Article
- Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience.Current opinion in neurobiology · 2019Review
- Cortical computations via metastable activity.Current opinion in neurobiology · 2019Review
- Self-organized reactivation maintains and reinforces memories despite synaptic turnover.eLife · 2019Article
- Critical synchronization and 1/f noise in inhibitory/excitatory rich-club neural networks.Scientific reports · 2019Article
- Modeling driver cells in developing neuronal networks.PLoS computational biology · 2018Article
- Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.PLoS computational biology · 2018Article
- In vitro Cortical Network Firing is Homeostatically Regulated: A Model for Sleep Regulation.Scientific reports · 2018Article
- Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick.Biological cybernetics · 2018Article
- Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models.Frontiers in computational neuroscience · 2018Article
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4 authors.
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Abstract
Experimental measurements of pairwise connection probability of pyramidal neurons together with the distribution of synaptic weights have been used to construct randomly connected model networks. However, several experimental studies suggest that both wiring and synaptic weight structure between neurons show statistics that differ from random networks. Here we study a network containing a subset of neurons which we call weight-hub neurons, that are characterized by strong inward synapses. We propose a connectivity structure for excitatory neurons that contain assemblies of densely connected weight-hub neurons, while the pairwise connection probability and synaptic weight distribution remain consistent with experimental data. Simulations of such a network with generalized integrate-and-fire neurons display regular and irregular slow oscillations akin to experimentally observed up/down state transitions in the activity of cortical neurons with a broad distribution of pairwise spike correlations. Moreover, stimulation of a model network in the presence or absence of assembly structure exhibits responses similar to light-evoked responses of cortical layers in optogenetically modified animals. We conclude that a high connection probability into and within assemblies of excitatory weight-hub neurons, as it likely is present in some but not all cortical layers, changes the dynamics of a layer of cortical microcircuitry significantly.
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