ArticleFrontiers in neural circuits2015
Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision.
Article in Frontiers in neural circuits, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Brain inspired neuronal silencing mechanism to enable reliable sequence identification.Scientific reports · 2022Article
- Optimal responsiveness and information flow in networks of heterogeneous neurons.Scientific reports · 2021Article
- Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli.Scientific reports · 2018Article
- Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks.Scientific reports · 2018Article
- Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links.Scientific reports · 2018Article
- Less Might Be More: Conduction Failure as a Factor Possibly Limiting the Efficacy of Higher Frequencies in rTMS Protocols.Frontiers in neuroscience · 2018Article
- New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units.Scientific reports · 2017Article
- Oscillations in networks of networks stem from adaptive nodes with memory.Scientific reports · 2017Article
- Vitality of Neural Networks under Reoccurring Catastrophic Failures.Scientific reports · 2016Article
- Plasticity of brain wave network interactions and evolution across physiologic states.Frontiers in neural circuits · 2015Article
- Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment.Frontiers in neuroscience · 2015Article
- Broadband macroscopic cortical oscillations emerge from intrinsic neuronal response failures.Frontiers in neural circuits · 2015Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through nodal properties, as opposed to link distributions. Using in vitro and in vivo experiments we demonstrate microsecond precision of neuronal response timings under low stimulation frequencies, whereas moderate frequencies result in a chaotic neuronal phase characterized by degraded precision. Above a critical stimulation frequency, which varies among neurons, response failures were found to emerge stochastically such that the neuron functions as a low pass filter, saturating the average inter-spike-interval. This intrinsic neuronal response impedance mechanism leads to cooperation on a network level, such that firing rates are suppressed toward the lowest neuronal critical frequency simultaneously with neuronal microsecond precision. Our findings open up opportunities of controlling global features of network dynamics through few nodes with extreme properties.
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