ArticleNeural computation2011
Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release.
Article in Neural computation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Biphasic Cholinergic Modulation of Reverberatory Activity in Neuronal Networks.Neuroscience bulletin · 2023Article
- The role of the C2A domain of synaptotagmin 1 in asynchronous neurotransmitter release.PloS one · 2020Article
- Multichannel activity propagation across an engineered axon network.Journal of neural engineering · 2017Article
- Propagation and synchronization of reverberatory bursts in developing cultured networks.Journal of computational neuroscience · 2017Article
- Correlations between prefrontal neurons form a small-world network that optimizes the generation of multineuron sequences of activity.Journal of neurophysiology · 2016Article
- Time-coded neurotransmitter release at excitatory and inhibitory synapses.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Shaping Neuronal Network Activity by Presynaptic Mechanisms.PLoS computational biology · 2015Article
- Neural masses and fields in dynamic causal modeling.Frontiers in computational neuroscience · 2013Article
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2 authors.
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Abstract
Small networks of cultured hippocampal neurons respond to transient stimulation with rhythmic network activity (reverberation) that persists for several seconds, constituting an in vitro model of synchrony, working memory, and seizure. This mode of activity has been shown theoretically and experimentally to depend on asynchronous neurotransmitter release (an essential feature of the developing hippocampus) and is supported by a variety of developing neuronal networks despite variability in the size of populations (10-200 neurons) and in patterns of synaptic connectivity. It has previously been reported in computational models that "small-world" connection topology is ideal for the propagation of similar modes of network activity, although this has been shown only for neurons utilizing synchronous (phasic) synaptic transmission. We investigated how topological constraints on synaptic connectivity could shape the stability of reverberations in small networks that also use asynchronous synaptic transmission. We found that reverberation duration in such networks was resistant to changes in topology and scaled poorly with network size. However, normalization of synaptic drive, by reducing the variance of synaptic input across neurons, stabilized reverberation in such networks. Our results thus suggest that the stability of both normal and pathological states in developing networks might be shaped by variance-normalizing constraints on synaptic drive. We offer an experimental prediction for the consequences of such regulation on the behavior of small networks.
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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.