126 research outputs found
Comparison enhances size sensitivity: neural correlates of outcome magnitude processing.
Magnitude is a critical feature of outcomes. In the present study, two event-related potential (ERP) experiments were implemented to explore the neural substrates of outcome magnitude processing. In Experiment 1, we used an adapted gambling paradigm where physical area symbols were set to represent potential relative outcome magnitudes in order to exclude the possibility that the participants would be ignorant of the magnitudes. The context was manipulated as total monetary amount: ¥4 and ¥40. In these two contexts, the relative outcome magnitudes were ¥1 versus ¥3, and ¥10 versus ¥30, respectively. Experiment 2, which provided two area symbols with similar outcome magnitudes, was conducted to exclude the possible interpretation of physical area symbol for magnitude effect of feedback-related negativity (FRN) in Experiment 1. Our results showed that FRN responded to the relative outcome magnitude but not to the context or area symbol, with larger amplitudes for relatively small outcomes. A larger FRN effect (the difference between losses and wins) was found for relatively large outcomes than relatively small outcomes. Relatively large outcomes evoked greater positive ERP waves (P300) than relatively small outcomes. Furthermore, relatively large outcomes in a high amount context elicited a larger P300 than those in a low amount context. The current study indicated that FRN is sensitive to variations in magnitude. Moreover, relative magnitude was integrated in both the early and late stages of feedback processing, while the monetary amount context was processed only in the late stage of feedback processing
Learning connectivity and higher-order interactions in radial distribution grids
To perform any meaningful optimization task, distribution grid operators need to know the topology of their grids. Although power grid topology identification and verification has been recently studied, discovering instantaneous interplay among subsets of buses, also known as higher-order interactions in recent literature, has not yet been addressed. The system operator can benefit from having this knowledge when re-configuring the grid in real time, to minimize power losses, balance loads, alleviate faults, or for scheduled maintenance. Establishing a connection between the celebrated exact distribution flow equations and the so-called self-driven graph Volterra model, this paper puts forth a nonlinear topology identification algorithm, that is able to reveal both the edge connections as well as their higher-order interactions. Preliminary numerical tests using real data on a 47-bus distribution grid showcase the merits of the proposed scheme relative to existing alternatives.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
Consistent behavioral and electrophysiological evidence for rapid perceptual discrimination among the six human basic facial expressions.
The extent to which the six basic human facial expressions perceptually differ from one another remains controversial. For instance, despite the importance of rapidly decoding fearful faces, this expression often is confused with other expressions, such as Surprise in explicit behavioral categorization tasks. We quantified implicit visual discrimination among rapidly presented facial expressions with an oddball periodic visual stimulation approach combined with electroencephalography (EEG), testing for the relationship with behavioral explicit measures of facial emotion discrimination. We report robust facial expression discrimination responses bilaterally over the occipito-temporal cortex for each pairwise expression change. While fearful faces presented as repeated stimuli led to the smallest deviant responses from all other basic expressions, deviant fearful faces were well discriminated overall and to a larger extent than expressions of Sadness and Anger. Expressions of Happiness did not differ quantitatively as much in EEG as for behavioral subjective judgments, suggesting that the clear dissociation between happy and other expressions, typically observed in behavioral studies, reflects higher-order processes. However, this expression differed from all others in terms of scalp topography, pointing to a qualitative rather than quantitative difference. Despite this difference, overall, we report for the first time a tight relationship of the similarity matrices across facial expressions obtained for implicit EEG responses and behavioral explicit measures collected under the same temporal constraints, paving the way for new approaches of understanding facial expression discrimination in developmental, intercultural, and clinical populations
Modeling of a plasmonic nanosensor based on an open box-like metal cavity
We propose a plasmonic nanosensor based on an open box-like metal nanocavity. Surface plasmon polaritons (SPPs) excited at the metal/dielectric interface oscillate in the cavity, and then, plasmonic resonance modes are formed. Since the cavity is open, a part of the resonance light of the SPPs is scattered to light. By monitoring the shift in the scattering spectrum, the refractive index change of the sensed material can be derived. Because of the high reflectivity of the metallic walls, the sensitivity and figure of merit (FOM) are higher than those using single nanoparticle or nanoantenna. A sensitivity of 1046 nm/RIU (RIU denotes refractive index unit) and a FOM of 23.4 are derived for a 700 nm long and 350 nm high square cavity. Furthermore, the sensing area of the proposed sensor is smaller than 1 mu m(2) and the performance of the nanosensor can be further tuned by varying the cavity dimensions. The proposed sensor is well suited for observing small changes in biological and chemical reactions.National Natural Science Foundation of China [61377050, 11574011]; Research Fund for Doctoral Program of Higher Education [20130001110050]SCI(E)[email protected]
The grand average of ERPs at Fz, FCz, Cz and Pz for all four kinds of results.
<p>SA, small area symbol; LA, large area symbol.</p
Grand average ERPs at Fz, FCz, Cz and Pz for four kinds of results in the low amount context (A) and in the high amount context (B).
<p>RS, relatively small; RL, relatively large.</p
Difference in subjective rating of pleasure between losses and wins for results of different magnitudes.
<p>Error bars represent standard error (SE). RS, relatively small; RL, relatively large; LC, low amount context; HC, high amount context; *, significant difference of p<.05; **, significant difference of p<.005; ns, non-significant.</p
Subjective ratings of pleasure.
<p>The difference of pleasure between small and large area symbol results was larger in winning conditions than in lossing conditions. Error bars represent SE. *, significant difference at <i>p</i><.05; ***, significant difference at p<.001; ns, non-significant; SA, small area symbol; LA, large area symbol.</p
Sequence of stimuli in a typical trial.
<p>Time (ms) represents stimulus duration. (A) Tasks in low amount (¥4) context (upper panel) and in high amount (¥40) context (lower panel) in Experiment 1; (B) Task in Experiment 2.</p
A robust implicit measure of facial attractiveness discrimination.
Decisions of attractiveness from the human face are made instantly and spontaneously, but robust implicit neural measures of facial attractiveness discrimination are currently lacking. Here we applied fast periodic visual stimulation coupled with electroencephalography (EEG) to objectively measure the neural coding of facial attractiveness. We presented different pictures of faces at 6 Hz, i.e. six faces/second, for a minute while participants attended to a central fixation cross and indicated whether the cross shortly changed color. Every other face in the stimulation was attractive and was replaced by a relatively less attractive face. This resulted in alternating more/less attractive faces at a 3 Hz rate, eliciting a significant increase in occipito-temporal EEG amplitude at 3 Hz both at the group and the individual participant level. This response was absent in two control conditions where either only attractive or only less attractive faces were presented. These observations support the view that face-sensitive visual areas discriminate attractiveness implicitly and rapidly from the human face
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