ArticlePLoS computational biology2014
Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Field potential 1/Journal of neurophysiology · 2019Trial
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- The Neural Analysis Toolkit Unifies Semi-Analytical Techniques to Simplify, Understand, and Simulate Dendrites.Neuroinformatics · 2026Article
- Aperiodicity in Mouse CA1 and DG Power Spectra.eNeuro · 2026Article
- Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem.PLoS computational biology · 2025Article
- Human Sensorimotor Beta Event Characteristics and Aperiodic Signal Are Highly Heritable.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Power spectral analysis of voltage-gated channels in neurons.Frontiers in neuroinformatics · 2024Article
- Neural adaptation and fractional dynamics as a window to underlying neural excitability.PLoS computational biology · 2023Article
- Simulating epileptic seizures using the bidomain model.Scientific reports · 2022Article
- Computing Extracellular Electric Potentials from Neuronal Simulations.Advances in experimental medicine and biology · 2022Article
- Low-rate firing limit for neurons with axon, soma and dendrites driven by spatially distributed stochastic synapses.PLoS computational biology · 2020Article
- Fast simulation of extracellular action potential signatures based on a morphological filtering approximation.Journal of computational neuroscience · 2020Article
- Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Alterations in Schizophrenia-Associated Genes Can Lead to Increased Power in Delta Oscillations.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- The Impact of Frequency Scale on the Response Sensitivity and Reliability of Cortical Neurons to 1/fFrontiers in cellular neuroscience · 2019Article
- Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation.Nature neuroscience · 2018Review
- h-Type Membrane Current Shapes the Local Field Potential from Populations of Pyramidal Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Dynamics of high frequency brain activity.Scientific reports · 2017Article
- Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue.PLoS computational biology · 2016Article
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4 authors.
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Abstract
Power laws, that is, power spectral densities (PSDs) exhibiting 1/f(α) behavior for large frequencies f, have been observed both in microscopic (neural membrane potentials and currents) and macroscopic (electroencephalography; EEG) recordings. While complex network behavior has been suggested to be at the root of this phenomenon, we here demonstrate a possible origin of such power laws in the biophysical properties of single neurons described by the standard cable equation. Taking advantage of the analytical tractability of the so called ball and stick neuron model, we derive general expressions for the PSD transfer functions for a set of measures of neuronal activity: the soma membrane current, the current-dipole moment (corresponding to the single-neuron EEG contribution), and the soma membrane potential. These PSD transfer functions relate the PSDs of the respective measurements to the PSDs of the noisy input currents. With homogeneously distributed input currents across the neuronal membrane we find that all PSD transfer functions express asymptotic high-frequency 1/f(α) power laws with power-law exponents analytically identified as α∞(I) = 1/2 for the soma membrane current, α∞(p) = 3/2 for the current-dipole moment, and α∞(V) = 2 for the soma membrane potential. Comparison with available data suggests that the apparent power laws observed in the high-frequency end of the PSD spectra may stem from uncorrelated current sources which are homogeneously distributed across the neural membranes and themselves exhibit pink (1/f) noise distributions. While the PSD noise spectra at low frequencies may be dominated by synaptic noise, our findings suggest that the high-frequency power laws may originate in noise from intrinsic ion channels. The significance of this finding goes beyond neuroscience as it demonstrates how 1/f(α) power laws with a wide range of values for the power-law exponent α may arise from a simple, linear partial differential equation.
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