ArticleFrontiers in computational neuroscience2015
Slow dynamics in features of synchronized neural network responses.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Normalization of network activity in an epilepsy model with a constitutively active GABBR2 variant.Brain : a journal of neurology · 2026Article
- Inhibition increases response variability and reduces stimulus discrimination in random networks of cortical neurons.Scientific reports · 2019Article
- A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks.Frontiers in neuroscience · 2019Article
- Unique Features of Network Bursts Emerge From the Complex Interplay of Excitatory and Inhibitory Receptors in Rat Neocortical Networks.Frontiers in cellular neuroscience · 2019Article
- Long-range synchrony and emergence of neural reentry.Scientific reports · 2016Article
- Brief wide-field photostimuli evoke and modulate oscillatory reverberating activity in cortical networks.Scientific reports · 2016Article
- Network Events on Multiple Space and Time Scales in Cultured Neural Networks and in a Stochastic Rate Model.PLoS computational biology · 2015Article
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Authors and funding
2 authors.
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Abstract
In this report trial-to-trial variations in the synchronized responses of neural networks are explored over time scales of minutes, in ex-vivo large scale cortical networks. We show that sub-second measures of the individual synchronous response, namely-its latency and decay duration, are related to minutes-scale network response dynamics. Network responsiveness is reflected as residency in, or shifting amongst, areas of the latency-decay plane. The different sensitivities of latency and decay durations to synaptic blockers imply that these two measures reflect aspects of inhibitory and excitatory activities. Taken together, the data suggest that trial-to-trial variations in the synchronized responses of neural networks might be related to effective excitation-inhibition ratio being a dynamic variable over time scales of minutes.
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