Conductance characteristics of nanofluidic channels (nanochannels) fall into two regimes: at low ionic concentrations, conductance is governed by surface charge while at high ionic concentrations it is determined by nanochannel geometry and bulk ionic concentration. We used aminosilane chemistry and streptavidin-biotin binding to study the effects of surface reactions on nanochannel conductance...

An analytical model for the ionic conductance in a pH-regulated nanochannel gated by a field effect transistor is derived for the first time. In contrast to the existing studies, the developed model takes into account the practical effects of multiple ionic species, surface chemistry reactions, the Stern layer, and electroosmotic flow. The model is validated by the experimental data of ionic co...

integrate and fire model#rate model#conductance models#synaptic model#multicompartment model integrate and fire model leaky integrate and fire model rate model synaptic input to the integrate and fire model conductance models kinetic models of ionic channels synaptic input to conductance models models of synaptic modification multicompartmental models This is an article that describes realistic...

Ionic transport in nanopores is a fundamentally and technologically important problem in view of its occurrence in biological processes and its impact on novel DNA sequencing applications. Using molecular dynamics simulations we show that ion transport may exhibit strong nonlinearities as a function of the pore radius reminiscent of the conductance quantization steps as a function of the transv...

Identified neurons in different animals express ionic currents at highly variable levels (population variability). If neuronal identity is associated with stereotypical function, as is the case in genetically identical neurons or in unambiguously identified individual neurons, this variability poses a conundrum: How is activity the same if the components that generate it-ionic current levels-ar...