Evidence map›Paper›PMID 27942935›Full record

ArticleJournal of computational neuroscience2017

Propagation and synchronization of reverberatory bursts in developing cultured networks.

Chih-Hsu Huang, Yu-Ting Huang, Chun-Chung Chen, C K Chan

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Article in Journal of computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chih-Hsu HuangInstitute of Physics, Academia Sinica, Nangang, Taipei, Taiwan, 115, Republic of China.
Yu-Ting HuangInstitute of Physics, Academia Sinica, Nangang, Taipei, Taiwan, 115, Republic of China.
Chun-Chung ChenInstitute of Physics, Academia Sinica, Nangang, Taipei, Taiwan, 115, Republic of China. cjj@phys.sinica.edu.tw.ORCID http://orcid.org/0000-0002-7664-8300
C K ChanInstitute of Physics, Academia Sinica, Nangang, Taipei, Taiwan, 115, Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing networks of neural systems can exhibit spontaneous, synchronous activities called neural bursts, which can be important in the organization of functional neural circuits. Before the network matures, the activity level of a burst can reverberate in repeated rise-and-falls in periods of hundreds of milliseconds following an initial wave-like propagation of spiking activity, while the burst itself lasts for seconds. To investigate the spatiotemporal structure of the reverberatory bursts, we culture dissociated, rat cortical neurons on a high-density multi-electrode array to record the dynamics of neural activity over the growth and maturation of the network. We find the synchrony of the spiking significantly reduced following the initial wave and the activities become broadly distributed spatially. The synchrony recovers as the system reverberates until the end of the burst. Using a propagation model we infer the spreading speed of the spiking activity, which increases as the culture ages. We perform computer simulations of the system using a physiological model of spiking networks in two spatial dimensions and find the parameters that reproduce the observed resynchronization of spiking in the bursts. An analysis of the simulated dynamics suggests that the depletion of synaptic resources causes the resynchronization. The spatial propagation dynamics of the simulations match well with observations over the course of a burst and point to an interplay of the synaptic efficacy and the noisy neural self-activation in producing the morphology of the bursts.

Indexed as

Action PotentialsComputer SimulationModels, NeurologicalNerve NetAnimalsNeural Networks, ComputerNeuronsRatsBurstingCultured networkReverberationSimulationSynchronization

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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.