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A multi-compartment model for interneurons in the dorsal lateral geniculate nucleus
TLDR
A detailed compartmental model of a dLGN IN with a detailed morphology and active dendritic, as well as somatic, conductances is presented and it is shown that relative differences in conductance values, rather than differences in ion channel composition, explain the differences in the response properties of the two neurons. Expand
Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue
TLDR
A hybrid simulation framework is presented that accounts for diffusive effects on the ECS potential and explores the effect that ECS diffusion has on the electrical potential surrounding a small population of 10 pyramidal neurons. Expand
Cyclic energy pathways in ecological food webs
TLDR
This work uses a new metric that allows for the identification and quantification of cyclic energy pathways, specifically the maximum eigenvalue of the connectance matrix, which is used to identify both the presence and strength of these structural cycles. Expand
From Maxwell's equations to the theory of current‐source density analysis
TLDR
The application of the electro‐quasistatic approximation of Maxwell's equations to describe the electromagnetic field of physiological origin elucidate the relationship between electric currents and theextracellular potential in brain tissue and form the necessary foundation for the analysis of extracellular recordings. Expand
A Multi-Compartment Model for Interneurons in the Dorsal Lateral Geniculate Nucleus
TLDR
A detailed compartmental model of INs is presented using, for the first time, a morphological reconstruction and a set of active dendritic conductances constrained by experimental somatic recordings from INs under several different current-clamp conditions, suggesting that INs may be individually tuned to optimize network operation under different input conditions. Expand
Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study.
TLDR
The results suggest that alteration in the ability of a single neuron to integrate the inputs and scale its excitability may constitute a fundamental mechanistic contributor to mental disease, alongside the previously proposed deficits in synaptic communication and network behavior. Expand
A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons
TLDR
The present work uses the 3-D Kirchhoff-Nernst-Planck (KNP) framework to simulate the dynamics of ion concentrations and the electrical potential surrounding a morphologically detailed pyramidal cell, and elucidates the single neuron contribution to electrodiffusive effects in the ECS. Expand
A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells
TLDR
An automated, stepwise method for fitting a neuron model to data with fine spatial resolution and reliably reproduces the membrane-potential dynamics across the dendrites as predicted by the full-morphology model is developed and applied. Expand
The modified niche model: Including detritus in simple structural food web models
TLDR
It is shown that when passive flows to detritus are included in the food web structure, the structure becomes more robust to the removal of individual nodes or connections, and that food web models that include thedetritus feedback loop perform better with respect to several structural network metrics. Expand
Electrodiffusive Model for Astrocytic and Neuronal Ion Concentration Dynamics
TLDR
A general electrodiffusive formalism for modeling of ion concentration dynamics in a one-dimensional geometry that ensures that the membrane potential and ion concentrations are in consistency, it ensures global particle/charge conservation and it accounts for diffusion and concentration dependent variations in resistivity. Expand
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