24,088 research outputs found
A Pulse-Gated, Predictive Neural Circuit
Recent evidence suggests that neural information is encoded in packets and
may be flexibly routed from region to region. We have hypothesized that neural
circuits are split into sub-circuits where one sub-circuit controls information
propagation via pulse gating and a second sub-circuit processes graded
information under the control of the first sub-circuit. Using an explicit
pulse-gating mechanism, we have been able to show how information may be
processed by such pulse-controlled circuits and also how, by allowing the
information processing circuit to interact with the gating circuit, decisions
can be made. Here, we demonstrate how Hebbian plasticity may be used to
supplement our pulse-gated information processing framework by implementing a
machine learning algorithm. The resulting neural circuit has a number of
structures that are similar to biological neural systems, including a layered
structure and information propagation driven by oscillatory gating with a
complex frequency spectrum.Comment: This invited paper was presented at the 50th Asilomar Conference on
Signals, Systems and Computer
Neutrino mixing in the seesaw model
In the seesaw model with hierarchical Dirac masses, the neutrino mixing angle
exhibits the behavior of a narrow resonance. In general, the angle is strongly
suppressed, but it can be maximal for special parameter values. We delineate
the small regions in which this happens, for the two flavor problem. On the
other hand, the physical neutrino masses are hierarchical, in general, except
in a large part of the region in which the mixing angle is sizable, where they
are nearly degenerate. Our general analysis is also applicable to the RGE of
neutrino mass matrix, where we find analytic solutions for the running of
physical parameters, in addition to a complex RGE invariant relating them. It
is also shown that, if one mixing angle is small, the three neutrino problem
reduces to two, two flavor problems.Comment: 19 pages, 4 figures; added new sections on RGE effects and universal
seesaw; version to appear in EPJ
Exploring relationships between touch perception and surface physical properties
This paper reports a study of materials for confectionery packaging. The aim was to explore the touch perceptions of textures and identify their relationships with the surfaces' physical properties. Thirty-seven tactile textures were tested including 22 cardboards, nine flexible materials and six laminate boards. Semantic differential questionnaires were administered to assess responses to touching the textures against six word pairs: warm-cold, slippery-sticky, smooth,-rough, hard-soft, bumpy-flat, and wet-dry. Four physical measurements were conducted to characterize the surfaces' roughness, compliance, friction, and the rate of cooling of an artificial finger when touching the surface. Correlation and regression analyses were carried out to identify the relationships between the people's responses and the physical measurements. Results show that touch perception is often associated with more than one physical property, and the strength and form of the combined contribution can be represented by a regression model. © 2009 Chen, Shao, Barnes, Childs, & Henson
An Improved NSGA-II and its Application for Reconfigurable Pixel Antenna Design
Based on the elitist non-dominated sorting genetic algorithm (NSGA-II) for multi-objective optimization problems, an improved scheme with self-adaptive crossover and mutation operators is proposed to obtain good optimization performance in this paper. The performance of the improved NSGA-II is demonstrated with a set of test functions and metrics taken from the standard literature on multi-objective optimization. Combined with the HFSS solver, one pixel antenna with reconfigurable radiation patterns, which can steer its beam into six different directions (θDOA = ± 15°, ± 30°, ± 50°) with a 5 % overlapping impedance bandwidth (S11 < − 10 dB) and a realized gain over 6 dB, is designed by the proposed self-adaptive NSGA-II
High frequency Scanning Gate Microscopy and local memory effect of carbon nanotube transistors
We use impedance spectroscopy to measure the high frequency properties of
single-walled carbon nanotube field effect transistors (swCN-FETs).
Furthermore, we extend Scanning Gate Microscopy (SGM) to frequencies up to
15MHz, and use it to image changes in the impedance of swCN-FET circuits
induced by the SGM-tip gate. In contrast to earlier reports, the results of
both experiments are consistent with a simple RC parallel circuit model of the
swCN-FET, with a time constant of 0.3 ms. We also use the SGM tip to show the
local nature of the memory effect normally observed in swCN-FETs, implying that
nanotube-based memory cells can be miniaturized to dimensions of the order of
tens of nm.Comment: 7 pages, 3 figures, to appear in Nano Letter
Weyl points and topological nodal superfluids in a face-centered cubic optical lattice
We point out that a face-centered cubic (FCC) optical lattice, which can be
realised by a simple scheme using three lasers, provides one a highly
controllable platform for creating Weyl points and topological nodal
superfluids in ultracold atoms. In non-interacting systems, Weyl points
automatically arise in the Floquet band structure when shaking such FCC
lattices, and sophisticated design of the tunnelling is not required. More
interestingly, in the presence of attractive interaction between two hyperfine
spin states, which experience the same shaken FCC lattice, a three-dimensional
topological nodal superfluid emerges, and Weyl points show up as the gapless
points in the quasiparticle spectrum. One could either create a double Weyl
point of charge 2, or split it to two Weyl points of charge 1, which can be
moved in the momentum space by tuning the interactions. Correspondingly, the
Fermi arcs at the surface may be linked with each other or separated as
individual ones.Comment: 5 pages, 2 figures in the main text; 2 pages, 2 figures in the
supplemental materia
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