ArticleScientific reports2016
Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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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Who cites it
10 citing papers in PubMed, 28 citations in OpenAlex.
- A layered microcircuit model of somatosensory cortex with three interneuron types and cell-type-specific short-term plasticity.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Cadherin-13 is a critical regulator of GABAergic modulation in human stem-cell-derived neuronal networks.Molecular psychiatry · 2022Article
- Dichotomous dopaminergic and noradrenergic neural states mediate distinct aspects of exploitative behavioral states.Science advances · 2021Article
- Facilitating the propagation of spiking activity in feedforward networks by including feedback.PLoS computational biology · 2020Article
- Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations.PLoS computational biology · 2020Article
- Portraits of communication in neuronal networks.Nature reviews. Neuroscience · 2019Review
- Cell-Type Specific Burst Firing Interacts with Theta and Beta Activity in Prefrontal Cortex During Attention States.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise.Journal of computational neuroscience · 2018Article
- Formation of Opioid-Induced Memory and Its Prevention: A Computational Study.Frontiers in computational neuroscience · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spike patterns are among the most common electrophysiological descriptors of neuron types. Surprisingly, it is not clear how the diversity in firing patterns of the neurons in a network affects its activity dynamics. Here, we introduce the state-dependent stochastic bursting neuron model allowing for a change in its firing patterns independent of changes in its input-output firing rate relationship. Using this model, we show that the effect of single neuron spiking on the network dynamics is contingent on the network activity state. While spike bursting can both generate and disrupt oscillations, these patterns are ineffective in large regions of the network state space in changing the network activity qualitatively. Finally, we show that when single-neuron properties are made dependent on the population activity, a hysteresis like dynamics emerges. This novel phenomenon has important implications for determining the network response to time-varying inputs and for the network sensitivity at different operating points.
Identifiers
What OpenQuestion holds
Registered trials
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.