The paper presents the results of studying visual tracking of the targets which moved with a constant amplitude of angular displacement. The tracking was carried out during an interaction of vestibular and optic sensors. The tracking stability was related to the coincidence of the direction of vestibular and optic stimuli.
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RSC Med Chem
January 2025
Institute of Pharmaceutical Science, King's College London Stamford Street London SE1 9NH UK +44 (0) 20 7848 9532.
-Formyl peptide receptors (FPRs) are membrane receptors that are abundantly expressed in innate immune cells, including neutrophils and platelets, demonstrating potential new targets for immune system regulation and the treatment of inflammatory conditions. We report here the development and bio-physical validation of new FPR imaging agents as effective tools to track FPR distribution, localisation and functions, ultimately helping to establish FPR exact roles and functions in pathological and physiological conditions. The new series of probes feature a small molecule-based FPR address system conjugated to suitable fluorophores, resulting in highly specific FPR agents, including a partial agonist endowed with high affinity ( low/sub-nanomolar potency) on FPR-transfected cells and human neutrophils.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Key Laboratory of Bionic Engineering (Ministry of Education), College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China. Electronic address:
Inspired by the superhydrophobic characteristics of duck feathers this research introduced an intelligent, responsive, and eco-friendly food packaging film constructed from carboxymethyl cellulose (CMC) and gelatin (Gel). The film successfully mimics the asymmetric, bionic, barbed structure of a duck feather, offering outstanding hydrophobicity and moisture vapor resistance characteristics. Moreover, the bionic film demonstrated good mechanical strength, film-forming ability and biodegradability.
View Article and Find Full Text PDFFront Robot AI
January 2025
Life- and Neurosciences, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions has previously been modeled in the Active Efficient Coding (AEC) framework and implemented using traditional frame-based cameras. However, modern event-based cameras are inspired by the retina and offer advantages in terms of acquisition rate, dynamic range, and power consumption.
View Article and Find Full Text PDFFront Neurorobot
January 2025
School of Information and Communication Engineering, Hainan University, Haikou, China.
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver. RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward function to optimize the parameters of DDPG to achieve the required tracking accuracy and stability. A visual SLAM algorithm based on semantic segmentation and geometric information is proposed to address the issues of poor robustness and susceptibility to interference from dynamic objects in dynamic scenes for SLAM based on visual sensors.
View Article and Find Full Text PDFJ Neurosci
January 2025
The Department of Psychology and The Department of Cognitive and Brain Sciences, The Hebrew University of Jerusalem.
Predictive updating of an object's spatial coordinates from pre-saccade to post-saccade contributes to stable visual perception. Whether object features are predictively remapped remains contested. We set out to characterise the spatiotemporal dynamics of feature processing during stable fixation and active vision.
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