Reply to Josipovic: Duality and non-duality in meditation research

We agree with Josipovic that a fundamental differentiating feature of meditation techniques is whether they remain within the dualistic subject–object cognitive structure, or they transcend this structure to reveal an underlying level of non-dual awareness. Further discussion is needed to delineate the basic non-dual experience in meditation, where all phenomenal content is absent, from the more advanced experience of non-duality in daily life, where phenomenal content is obviously present as well. In this discussion, it is important to recognize that the experiencer–object relation makes the experience dual or non-dual, rather than the nature of the object experienced.     

Children's recall and source monitoring of a repeated event using a timeline as an interview aid

Investigators sometimes use timelines (visual depictions of time) to help children identify temporal information from experienced events or details from a particular instance of a repeated event. However, little is actually known about the efficacy of this visual aid on children's memories. Six‐ to 9‐year‐olds participated in four occurrences of a repeated event and were later interviewed with or without the use of a timeline. Children in the timeline condition were less accurate and made more source‐monitoring errors than those in the control condition. For items that appeared consistently throughout the events, a suggestibility effect was more evident for older children who used the timeline than those who did not. Overall, there was no clear evidence in support of the visual aid. Despite its popularity, our findings suggest that timelines should be further examined to establish whether, and under what circumstances, they might be used in investigative contexts.     

Did you wash your hands? Evaluating memory for objects touched by healthy individuals and individuals with contagious and noncontagious diseases

Prior research suggests that individuals recruit a disease‐avoidance system designed to avoid sources of illness through threat detection and memory. Our study evaluated whether disease‐related memory benefits reflect the distinctive/salient nature of a diseased state versus the infectious nature of a disease by comparing memory for objects touched by healthy individuals or those with a contagious or noncontagious disease. Participants studied videos depicting an actor interacting with objects in which the actor was described as diagnosed with influenza, an infectious disease, cancer, a noninfectious disease, or was healthy, followed by free‐recall and source‐recognition tests. Correct recall and source recognition were greater overall for touched versus nontouched items, but source recognition was particularly elevated for items touched by the infectious influenza actor. Further, touched‐item recognition was positively related to participants' assessed germ aversion—supplemental evidence that disease concerns may facilitate source recollections for touched objects.     

跨通道信源检测错觉的实验研究

本研究探讨跨通道信源检测错觉的特点。实验中将简单、无关且易产生视觉和听觉想像的事件随机以看、听、想像看和想像听的一种或两种组合方式让被试感受 ,2天后以视检测、听检测和全检测三种方式判断信源 ,结果均发现跨通道信源检测错觉 ,且信源判断受检测方式影响 ,知觉信息在源检测中具有更大的抗干扰性。研究结果支持信源检测理论。本文最后讨论了信源检测错觉的机制     

Metric error monitoring in the numerical estimates

Recent studies have shown that participants can keep track of the magnitude and direction of their errors while reproducing target intervals (Akdoğan & Balcı, 2017) and producing numerosities with sequentially presented auditory stimuli (Duyan & Balcı, 2018). Although the latter work demonstrated that error judgments were driven by the number rather than the total duration of sequential stimulus presentations, the number and duration of stimuli are inevitably correlated in sequential presentations. This correlation empirically limits the purity of the characterization of “numerical error monitoring”. The current work expanded the scope of numerical error monitoring as a form of “metric error monitoring” to numerical estimation based on simultaneously presented array of stimuli to control for temporal correlates. Our results show that numerical error monitoring ability applies to magnitude estimation in these more controlled experimental scenarios underlining its ubiquitous nature.     

Monitoring traffic in future cities with aerial swarms: Developing and optimizing a behavior-based surveillance algorithm

Traffic monitoring is a key issue to develop smarter and more sustainable cities in the future, allowing to make a better use of the public space and reducing pollution. This work presents an aerial swarm that continuously monitors the traffic in SwarmCity, a simulated city developed in Unity game engine where drones and cars are modeled in a realistic way. The control algorithm of the aerial swarm is based on six behaviors with twenty-three parameters that must be tuned. The optimization of parameters is carried out with a genetic algorithm in a simplified and faster simulator. The best resulting configurations are tested in SwarmCity showing good efficiencies in terms of observed cars over total cars during time windows. The algorithm reaches a good performance making use of an acceptable computational time for the optimization.     

Memory awareness disruptions in amnestic mild cognitive impairment: comparison of multiple awareness types for verbal and visuospatial material

Successful memory is normally accompanied by explicit awareness of retrieval and confidence in the accuracy of the retrieval product. Prior findings suggest that these features of metamemory can be dissociated from retrieval accuracy in Amnestic Mild Cognitive Impairment (aMCI). However, the literature on this question contains variable and conflicting results, likely because of differences in experimental conditions. We sought to systematically evaluate memory awareness disruptions in aMCI using multiple measures and stimulus formats within the same individuals. Memory awareness was tested with global predictions and postdictions, judgments of learning, confidence level ratings, and modified feeling-of-knowing ratings in tasks of visuospatial and verbal memory. These tests were administered to 14 individuals with aMCI and 15 healthy, age-matched controls. Memory awareness accuracy was calculated as the correspondence between subjective judgments and memory performance.Individuals with aMCI demonstrated impaired global and trial-level retrospective task awareness for visuospatial and verbal stimuli. Additionally, modified feeling-of-knowing awareness was impaired selectively for verbal stimuli. Statistical effect sizes for global awareness impairments were comparable to impairments in several objective neuropsychological memory assessments.Memory awareness (metamemory) disruptions in aMCI were most evident for a subset of subjective judgment types and task input modalities. These findings advance understanding of the nature of memory impairments in aMCI and support the utility of incorporating memory awareness testing to better characterize memory integrity in older adults.     

A low power fuzzy logic based variable resolution ADC for wireless ECG monitoring systems

Portable low power and high quality monitoring devices play an important role for improving the performance of wireless body sensor networks. Mixed signal processor is required in ECG monitoring unit that comprises of analog front end, analog to digital converter (ADC) and digital signal processor. ADC is a core element in mixed signal processing unit and the proper design of ADC is crucial for data acquisition without losing heart related information and originality. The adaptive sampling has been used in the existing ADCs for choosing the sampling clock adaptively. Adaptive sampling rate ADC performs compression and reduces power consumption to some extent, however low powers ADCs are essential in wireless healthcare monitoring systems. In this paper, fuzzy logic based variable resolution controller is proposed to design the ADC efficiently in terms of circuit complexity and power. To further reduce the power consumption, power gating technique is adopted for static power reduction. Under 90 nm CMOS technology, gate count, core area utilization and power consumption have been determined for existing adaptive sampling ADC and fuzzy logic based adaptive sampling ADC. Cadence design tools have been used for the measurement of power in the designed circuit. The performance has been found to be better in terms of area and power that are very much essential for wireless ECG monitoring systems.     

Consciously monitored grasping is vulnerable to perceptual intrusions

The idea of functional differentiation between vision-for-action and vision-for-perception has been supported by evidence from different domains. According to this account, perception is based on consciously accessible, relative representations, whereas vision-for-action is performed in an analytic, automatic manner. Support for this idea comes from studies that showed that unlike perception, grasping movements are refractory to illusions and to Weber’s law. Yet, interactions between the systems may occur when an action is performed in a less automated fashion. To test this idea, we asked participants to monitor their fingers apertures in flight and to halt their movement for a short duration when they felt that their aperture reached a maximum amount. The results showed that movements in the monitored condition were biased by the Ponzo illusion and showed atypical adherence to Weber's law. These results show that action and perception are more likely to interact when movements are performed in a controlled manner.