Browse Articles

Therapeutic potential of Chromolaena odorata, Vernonia amygdalina, and Cymbopogon citratus against pathogenic Bacteria

Better than expected performance effect depends on the spatial location of visual stimulus

Abstract The process of perceptual decision-making in the real world involves the aggregation of pieces of evidence into a final choice. Visual evidence is usually presented in different pieces, distributed across time and space. We wondered whether adding variation in the location of the received information would lead to differences in how subjects integrated visual information. Seven participants viewed two pulses of random dot motion stimulus, separated by time gaps and presented at different locations within the visual field. Our findings suggest that subjects accumulate discontinuous information (over space or time) differently than when it is presented continuously, in the same location or with no gaps between them. These findings indicate that the discontinuity of evidence impacts the process of evidence integration in a manner more nuanced than that presumed by the theory positing perfect integration of evidence.

Gigantic Tellegen responses in metamaterials

Ultrasonic optic nerve sheath diameter as a new predictor for the mortality of patients with large hemispheric infarction

Study on the load-supporting characteristic of the new type of support disc-type anchor under cyclic loading test

Invasion of glioma cells through confined space requires membrane tension regulation and mechano-electrical coupling via Plexin-B2

Seq2Seq-based GRU autoencoder for anomaly detection and failure identification in coal mining hydraulic support systems

CMA-Based design of a Novel structure for isolation enhancement and Radiation Pattern correction in MIMO antennas

Distinct roles of dentate gyrus and medial entorhinal cortex inputs for phase precession and temporal correlations in the hippocampal CA3 area

AbstractThe hippocampal CA3 subregion is a densely connected recurrent circuit that supports memory by generating and storing sequential neuronal activity patterns that reflect recent experience. While theta phase precession is thought to be critical for generating sequential activity during memory encoding, the circuit mechanisms that support this computation across hippocampal subregions are unknown. By analyzing CA3 network activity in the absence of each of its theta-modulated external excitatory inputs, we show necessary and unique contributions of the dentate gyrus (DG) and the medial entorhinal cortex (MEC) to phase precession. DG inputs are essential for preferential spiking of CA3 cells during late theta phases and for organizing the temporal order of neuronal firing, while MEC inputs sharpen the temporal precision throughout the theta cycle. A computational model that accounts for empirical findings suggests that the unique contribution of DG inputs to theta-related spike timing is supported by targeting precisely timed inhibitory oscillations. Our results thus identify a novel and unique functional role of the DG for sequence coding in the CA3 circuit.

Automatic detection, classification, and segmentation of sagittal MR images for diagnosing prolapsed lumbar intervertebral disc

Spatial heterogeneity of keyhole imagery coverage in China and imagery dataset cost estimation

DPFunc: accurately predicting protein function via deep learning with domain-guided structure information

Use of the Da Vinci SP surgical system in robot-assisted nipple-sparing mastectomy: a single-center, retrospective study

Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation

Dengue virus IgG and neutralizing antibody titers measured with standard and mature viruses are protective

A multicenter study on TROP2 as a potential targeted therapy for extramammary Paget disease in Japan

Efficacy and safety of propranolol tablets vs. oral solution in neonates with severe infantile hemangiomas: a retrospective study in China

A new class of natural anthelmintics targeting lipid metabolism

Association of triglyceride-glucose index with Helicobacter pylori infection in the 1999–2000 NHANES cross-sectional study

SAILOR: perceptual anchoring for robotic cognitive architectures

AbstractSymbolic anchoring is an important topic in robotics, as it enables robots to obtain symbolic knowledge from the perceptual information acquired through their sensors and maintain the link between that knowledge and the sensory data. In cognitive-based robots, this process of transforming sub-symbolic data generated by sensors to obtain and maintain symbolic knowledge is still an open problem. To address this issue, this paper presents SAILOR, a framework for symbolic anchoring integrated into ROS 2. SAILOR aims to maintain the link between symbolic data and perceptual data in real robots over time. It provides a semantic world modeling approach using two deep learning-based sub-symbolic robotic skills: object recognition and matching function. The object recognition skill allows the robot to recognize and identify objects in its environment, while the matching function enables the robot to decide if new perceptual data corresponds to existing symbolic data. This paper describes the proposed method and the development of the framework, as well as its integration in MERLIN2 (a hybrid cognitive architecture fully functional in robots running ROS 2) and the validation of SAILOR using public datasets and a real-world scenario.