Relevant bibliographies by topics / Redundant signals effect

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Academic literature on the topic 'Redundant signals effect'

Author: Grafiati
Published: 11 March 2023
Last updated: 16 June 2025

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Journal articles on the topic "Redundant signals effect"

1

Cederblad, Anna Matilda Helena, Aleksandar Visokomogilski, Søren K. Andersen, Mary-Joan MacLeod, and Arash Sahraie. "Conscious awareness modulates processing speed in the redundant signal effect." Experimental Brain Research 239, no. 6 (2021): 1877–93. http://dx.doi.org/10.1007/s00221-020-06008-1.

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AbstractEvidence for the influence of unaware signals on behaviour has been reported in both patient groups and healthy observers using the Redundant Signal Effect (RSE). The RSE refers to faster manual reaction times to the onset of multiple simultaneously presented target than those to a single stimulus. These findings are robust and apply to unimodal and multi-modal sensory inputs. A number of studies on neurologically impaired cases have demonstrated that RSE can be found even in the absence of conscious experience of the redundant signals. Here, we investigated behavioural changes associated with awareness in healthy observers by using Continuous Flash Suppression to render observers unaware of redundant targets. Across three experiments, we found an association between reaction times to the onset of a consciously perceived target and the reported level of visual awareness of the redundant target, with higher awareness being associated with faster reaction times. However, in the absence of any awareness of the redundant target, we found no evidence for speeded reaction times and even weak evidence for an inhibitory effect (slowing down of reaction times) on response to the seen target. These findings reveal marked differences between healthy observers and blindsight patients in how aware and unaware information from different locations is integrated in the RSE.
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2

Yang, Wenxing, Taihong Wu, Shasha Tu, et al. "Redundant neural circuits regulate olfactory integration." PLOS Genetics 18, no. 1 (2022): e1010029. http://dx.doi.org/10.1371/journal.pgen.1010029.

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Olfactory integration is important for survival in a natural habitat. However, how the nervous system processes signals of two odorants present simultaneously to generate a coherent behavioral response is poorly understood. Here, we characterize circuit basis for a form of olfactory integration in Caenorhabditis elegans. We find that the presence of a repulsive odorant, 2-nonanone, that signals threat strongly blocks the attraction of other odorants, such as isoamyl alcohol (IAA) or benzaldehyde, that signal food. Using a forward genetic screen, we found that genes known to regulate the structure and function of sensory neurons, osm-5 and osm-1, played a critical role in the integration process. Loss of these genes mildly reduces the response to the repellent 2-nonanone and disrupts the integration effect. Restoring the function of OSM-5 in either AWB or ASH, two sensory neurons known to mediate 2-nonanone-evoked avoidance, is sufficient to rescue. Sensory neurons AWB and downstream interneurons AVA, AIB, RIM that play critical roles in olfactory sensorimotor response are able to process signals generated by 2-nonanone or IAA or the mixture of the two odorants and contribute to the integration. Thus, our results identify redundant neural circuits that regulate the robust effect of a repulsive odorant to block responses to attractive odorants and uncover the neuronal and cellular basis for this complex olfactory task.
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3

Schwarz, W. "A new model to explain the redundant-signals effect." Perception & Psychophysics 46, no. 5 (1989): 498–500. http://dx.doi.org/10.3758/bf03210867.

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4

Colonius, Hans. "Modeling the redundant signals effect by specifying the hazard function." Perception & Psychophysics 43, no. 6 (1988): 604–6. http://dx.doi.org/10.3758/bf03207750.

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5

Li, N., R. Zhou, and X. Z. Zhao. "Mechanical faulty signal denoising using a redundant non-linear second-generation wavelet transform." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 4 (2011): 799–808. http://dx.doi.org/10.1243/09544062jmes2410.

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Denoising and extraction of the weak signals are crucial to mechanical equipment fault diagnostics, especially for early fault detection, in which cases fault features are very weak and masked by the noise. The wavelet transform has been widely used in mechanical faulty signal denoising due to its extraordinary timefrequency representation capability. However, the mechanical faulty signals are often non-stationary, with the structure varying significantly within each scale. Because a single wavelet filter cannot mimic the signal structure of an entire scale, the traditional wavelet-based signal denoising method cannot achieve an ideal effect, and even worse some faulty information of the raw signal may be lost in the denoising process. To overcome this deficiency, a novel mechanical faulty signal denoising method using a redundant non-linear second generation wavelet transform is proposed. In this method, an optimal prediction operator is selected for each transforming sample according to the selection criterion of minimizing each individual prediction error. Consequently, the selected predictor can always fit the local characteristics of the signals. The signal denoising results from both simulated signals and experimental data are presented and both support the proposed method.
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6

Akçay, Çağlar, and Michael D. Beecher. "Multi-modal communication: song sparrows increase signal redundancy in noise." Biology Letters 15, no. 10 (2019): 20190513. http://dx.doi.org/10.1098/rsbl.2019.0513.

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Although the effects of anthropogenic noise on animal communication have been studied widely, most research on the effect of noise in communication has focused on signals in a single modality. Consequently, how multi-modal communication is affected by anthropogenic noise is relatively poorly understood. Here, we ask whether song sparrows ( Melospiza melodia ) show evidence of plasticity in response to noise in two aggressive signals in acoustic and visual modalities. We test two hypotheses: (i) that song sparrows will shift signalling effort to the visual modality (the multi-modal shift hypothesis) and (ii) that they will increase redundancy of their multi-modal signalling (the back-up signal hypothesis). We presented male song sparrows with song playback and a taxidermic mount with or without a low-frequency acoustic noise from a nearby speaker. We found that males did not switch their signalling effort to visual modality (i.e. wing waves) in response to the noise. However, the correlation between warbled soft songs and wing waves increased in the noise treatment, i.e. signals became more redundant. These results suggest that when faced with anthropogenic noise, song sparrows can increase the redundancy of their multi-modal signals, which may aid in the robustness of the communication system.
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7

Schröter, Hannes, Anja Fiedler, Jeff Miller, and Rolf Ulrich. "Fusion prevents the redundant signals effect: Evidence from stereoscopically presented stimuli." Journal of Experimental Psychology: Human Perception and Performance 37, no. 5 (2011): 1361–68. http://dx.doi.org/10.1037/a0024280.

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8

Mishler, Ada, and Mark Neider. "Evidence for the Redundant Signals Effect in Detection of Categorical Targets." Journal of Vision 16, no. 12 (2016): 1024. http://dx.doi.org/10.1167/16.12.1024.

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9

Töllner, Thomas, Michael Zehetleitner, Joseph Krummenacher, and Hermann J. Müller. "Perceptual Basis of Redundancy Gains in Visual Pop-out Search." Journal of Cognitive Neuroscience 23, no. 1 (2011): 137–50. http://dx.doi.org/10.1162/jocn.2010.21422.

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The redundant-signals effect (RSE) refers to a speed-up of RT when the response is triggered by two, rather than just one, response-relevant target elements. Although there is agreement that in the visual modality RSEs observed with dimensionally redundant signals originating from the same location are generated by coactive processing architectures, there has been a debate as to the exact stage(s)—preattentive versus postselective—of processing at which coactivation arises. To determine the origin(s) of redundancy gains in visual pop-out search, the present study combined mental chronometry with electrophysiological markers that reflect purely preattentive perceptual (posterior-contralateral negativity [PCN]), preattentive and postselective perceptual plus response selection-related (stimulus-locked lateralized readiness potential [LRP]), or purely response production-related processes (response-locked LRP). As expected, there was an RSE on target detection RTs, with evidence for coactivation. At the electrophysiological level, this pattern was mirrored by an RSE in PCN latencies, whereas stimulus-locked LRP latencies showed no RSE over and above the PCN effect. Also, there was no RSE on the response-locked LRPs. This pattern demonstrates a major contribution of preattentive perceptual processing stages to the RSE in visual pop-out search, consistent with parallel-coactive coding of target signals in multiple visual dimensions [Müller, H. J., Heller, D., & Ziegler, J. Visual search for singleton feature targets within and across feature dimensions. Perception & Psychophysics, 57, 1–17, 1995].
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10

Comert, Gurcan, Jacquan Pollard, David M. Nicol, Kartik Palani, and Babu Vignesh. "Modeling Cyber Attacks at Intelligent Traffic Signals." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 1 (2018): 76–89. http://dx.doi.org/10.1177/0361198118784378.

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Transportation networks are considered one of the critical physical infrastructures for resilient cities (cyber-physical systems). In efforts to minimize adverse effects that come with the advancement of vehicular technologies, various governmental agencies, such as the U.S. Department of Homeland Security and the National Highway Traffic Safety Administration (NHTSA), work together. This paper develops belief-network-based attack modeling at signalized traffic networks under connected vehicle and intelligent signals frameworks. For different types of cyber attacks, defined in the literature, risk areas and impacts of attacks are evaluated. Vulnerability scores, technically based on the selected metrics, are calculated for signal controllers. In addition, the effect of having redundant traffic sensing systems on intersection performance measures is demonstrated in terms of average queue length differences.
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