ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015
Sloppiness in spontaneously active neuronal networks.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Lactate Transport via Glial MCT1 and Neuronal MCT2 Is Not Required for Synchronized Synaptic Transmission in Hippocampal Slices Supplied With Glucose.Journal of neurochemistry · 2025Article
- Logarithmically scaled, gamma distributed neuronal spiking.The Journal of physiology · 2023Review
- On the Role of Theory and Modeling in Neuroscience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring.Neural computation · 2022Article
- Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy.PLoS computational biology · 2022Article
- Bayesian Mapping of the Striatal Microcircuit Reveals Robust Asymmetries in the Probabilities and Distances of Connections.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning.Frontiers in neuroscience · 2022Article
- Neural circuit function redundancy in brain disorders.Current opinion in neurobiology · 2021Review
- Efficient population coding depends on stimulus convergence and source of noise.PLoS computational biology · 2021Article
- Optimal Encoding in Stochastic Latent-Variable Models.Entropy (Basel, Switzerland) · 2020Article
- Article
- Article
- Neural field models for latent state inference: Application to large-scale neuronal recordings.PLoS computational biology · 2019Article
- Article
- Article
- Sleep regulation of the distribution of cortical firing rates.Current opinion in neurobiology · 2017Review
- Variance and invariance of neuronal long-term representations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Spontaneous activity in the piriform cortex extends the dynamic range of cortical odor coding.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
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Authors and funding
7 authors.
Funding
Abstract
Various plasticity mechanisms, including experience-dependent, spontaneous, as well as homeostatic ones, continuously remodel neural circuits. Yet, despite fluctuations in the properties of single neurons and synapses, the behavior and function of neuronal assemblies are generally found to be very stable over time. This raises the important question of how plasticity is coordinated across the network. To address this, we investigated the stability of network activity in cultured rat hippocampal neurons recorded with high-density multielectrode arrays over several days. We used parametric models to characterize multineuron activity patterns and analyzed their sensitivity to changes. We found that the models exhibited sloppiness, a property where the model behavior is insensitive to changes in many parameter combinations, but very sensitive to a few. The activity of neurons with sloppy parameters showed faster and larger fluctuations than the activity of a small subset of neurons associated with sensitive parameters. Furthermore, parameter sensitivity was highly correlated with firing rates. Finally, we tested our observations from cell cultures on an in vivo recording from monkey visual cortex and we confirm that spontaneous cortical activity also shows hallmarks of sloppy behavior and firing rate dependence. Our findings suggest that a small subnetwork of highly active and stable neurons supports group stability, and that this endows neuronal networks with the flexibility to continuously remodel without compromising stability and function.
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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.