Large conductance Ca(2+)- and voltage-activated potassium channels (BKCa) shape neuronal excitability and signal transduction. This reflects the integrated influences of transmembrane voltage and intracellular calcium concentration ([Ca(2+)]i) that gate the channels. This dual gating has been mainly studied as voltage-triggered gating modulated by defined steady-state [Ca(2+)]i, a paradigm that...

Chronic sleep loss has been associated with increased daytime sleepiness, as well as impairments in memory and attentional processes. In the present study, we evaluated the neuronal changes of a pre-attentive process of wake auditory sensory gating, measured by brain event-related potential (ERP)--P50 in eight normal sleepers (NS) (habitual total sleep time (TST) 7 h 32 m) vs. eight chronic sho...

Yarotskyy V, Elmslie KS. -conotoxin GVIA alters gating charge movement of N-type (CaV2.2) calcium channels. J Neurophysiol 101: 332–340, 2009. First published October 29, 2008; doi:10.1152/jn.91064.2008. -conotoxin GVIA ( CTX) is a specific blocker of N-type calcium (CaV2.2) channels that inhibits neuropathic pain. While the toxin appears to be an open channel blocker, we show that N-channel ga...

As the technology moves into deep sub-micron region, the power consumption of the integrated circuit will be more. In the current technologies, the leakage power is the major part in the total power consumption. Power gating is a technique which is used to reduce the leakage power by shutting off the idle logic blocks using sleep transistors. Different power gating methods are available now. Th...

Gating currents were recorded at 11 degrees C in cell-attached and inside-out patches from the innervated membrane of Electrophorus main organ electrocytes. With pipette tip diameters of 3-8 microns, maximal charge measured in patches ranged from 0.74 to 7.19 fC. The general features of the gating currents are similar to those from the squid giant axon. The steady-state voltage dependence of th...

We propose a novel adaptive approximation approach for test-time resourceconstrained prediction. Given an input instance at test-time, a gating function identifies a prediction model for the input among a collection of models. Our objective is to minimize overall average cost without sacrificing accuracy. We learn gating and prediction models on fully labeled training data by means of a bottom-...