by Keyword: Coordination

Chen, SQ, Prado-Morales, C, Sánchez-deAlcázar, D, Sánchez, S, (2024). Enzymatic micro/nanomotors in biomedicine: from single motors to swarms Journal Of Materials Chemistry b 12,

Micro/nanomotors (MNMs) have evolved from single self-propelled entities to versatile systems capable of performing one or multiple biomedical tasks. When single MNMs self-assemble into coordinated swarms, either under external control or triggered by chemical reactions, they offer advantages that individual MNMs cannot achieve. These benefits include intelligent multitasking and adaptability to changes in the surrounding environment. Here, we provide our perspective on the evolution of MNMs, beginning with the development of enzymatic MNMs since the first theoretical model was proposed in 2005. These enzymatic MNMs hold immense promise in biomedicine due to their advantages in biocompatibility and fuel availability. Subsequently, we introduce the design and application of single motors in biomedicine, followed by the control of MNM swarms and their biomedical applications. In the end, we propose viable solutions for advancing the development of MNM swarms and anticipate valuable insights into the creation of more intelligent and controllable MNM swarms for biomedical applications.; Micro/nanomotor swarms propelled by diverse mechanisms.

JTD Keywords: Active particles, Actuation, Behaviors, Biocompatibility, Biomedical applications, Coordination reactions, Design and application, Diffusion, External control, Medical applications, Micromotors, Motion, Nanomotors, Powered nanomotors, Propulsion, Self-assemble, Surrounding environment, Theoretical modeling, Versatile system, Viable solutions

Engel, AK, Verschure, PFMJ, Kragic, D, Polani, D, Effenberg, AO, Konig, P, (2022). Editorial: Sensorimotor Foundations of Social Cognition Frontiers In Human Neuroscience 16, 971133-971133

Sánchez-Fibla, M., Forestier, S., Moulin-Frier, C., Puigbò, J. Y., Verschure, P., (2020). From motor to visually guided bimanual affordance learning Adaptive Behavior 28, (2), 63-78

The mechanisms of how the brain orchestrates multi-limb joint action have yet to be elucidated and few computational sensorimotor (SM) learning approaches have dealt with the problem of acquiring bimanual affordances. We propose a series of bidirectional (forward/inverse) SM maps and its associated learning processes that generalize from uni- to bimanual interaction (and affordances) naturally, reinforcing the motor equivalence property. The SM maps range from a SM nature to a solely sensory one: full body control, delta SM control (through small action changes), delta sensory co-variation (how body-related perceptual cues covariate with object-related ones). We make several contributions on how these SM maps are learned: (1) Context and Behavior-Based Babbling: generalizing goal babbling to the interleaving of absolute and local goals including guidance of reflexive behaviors; (2) Event-Based Learning: learning steps are driven by visual, haptic events; and (3) Affordance Gradients: the vectorial field gradients in which an object can be manipulated. Our modeling of bimanual affordances is in line with current robotic research in forward visuomotor mappings and visual servoing, enforces the motor equivalence property, and is also consistent with neurophysiological findings like the multiplicative encoding scheme.

JTD Keywords: Affordances, Bimanual affordances, Goal babbling, Interlimb coordination, Motor equivalence, Sensorimotor learning

Tahirbegi, I. B., Pérez, Y., Mir, M., Samitier, J., (2019). Counterions effect on uracil-silver coordination Inorganica Chimica Acta 490, 246-253

Cyanide based silver electroplating is a low-cost reliable and well-established process for metal deposition. However, delicate handling during the process is needed because of the high toxicity of cyanide, for the persons and the environment. Uracil based silver electrodeposition got the attention of this field, because of its low cost and non-toxic nature. However, little is known about the silver complexation with uracil and the process behind the silver electroplating. In this work, we studied a hitherto unknown phenomenon on the diverse structure’s formation of silver uracil coordination complex due to the presence of different alkaline counterions. The distinct structuration of this complex clearly impacts on the efficiency and deposition yields of silver electroplating. We demonstrate the unknown key role that play hydroxide counterions in the uracil-silver coordination, and the different molecular structures created on the basis of the used counterion. The hydroxide counterion determines monomeric and polymeric complex formation with silver, which affects the solubility of the uracil silver complex and its subsequent electrodeposition. The different molecular complexes were characterized by FT-IR, UV–vis, DRUV–vis and multi-nuclear NMR spectroscopy and the silver electrodeposition by cyclic voltammetry and TOF-SIMS. This study sheds some light in the improvement of silver electroplating process

JTD Keywords: Coordination complex, Electrometallization, Electroplating, Metal complex, Silver electrodeposition, Uracil

Gutierrez, A., Marco, S., (2009). Biologically inspired signal processing for chemical sensing Studies in Computational Intelligence GOSPEL Workshop on Bio-inspired Signal Processing (ed. Gutierrez, A., Marco, S.), Springer (Barcelona, Spain) -----, (188), -----

This 167-page book is volume 188 in the series 'Studies in computational intelligence.' This volume contain 9 extensive chapters written in English. This volume presents a collection of research advances in biologically inspired signal processing for chemical sensing. The olfactory system, and the gustatory system to a minor extent, has been taken in the last decades as a source of inspiration to develop artificial sensing systems. The recognition of odors by the olfactory system entails a number of signal processing functions such as preprocessing, dimensionality reduction, contrast enhancement, and classification. Using mathematical models to mimic the architecture of the olfactory system, these processing functions can be applied to chemical sensor signals. This book provides background on the olfactory system including a review on information processing in the insect olfactory system along with a proposed signal processing architecture based on the mammalian cortex. It also provides some bio-inspired approaches to process chemical sensor signals such as an olfactory mucosa to improve odor separation and a model of olfactory receptor neuron convergence to correlated sensor responses to an odor and his organoleptic properties. This book will useful to those working or studying in the areas of sensory reception and computational biology.

JTD Keywords: Nervous System (Neural Coordination), Computer Applications (Computational Biology), Sense Organs (Sensory Reception)