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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
intrinsic motivation --- Open-ended learning --- Robotics --- developmental robotics --- Curiosity driven learning
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
GBM --- DIPG --- diffuse intrinsic pontine glioma --- novel therapy --- blood-brain barrier --- drug delivery --- targeting
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Productive HIV infection requires completion of all the steps of the replication cycle, the success of which largely relying on the multiple interactions established by viral proteins with cellular partners. Indeed, cellular and viral fates are intertwined and this interplay may involve rerouting of cellular factors/pathways to the benefit of the viral life cycle. To gain a foothold into host cells, HIV has to take advantage of available cellular factories and overcome the numerous potential blocks opposed to its replication while ensuring cellular survival. Viral auxiliary proteins are a perfect paradigm to illustrate the complexity of the relationship between HIV and its host. Although these accessory proteins are mostly unnecessary for viral replication in permissive cells in vitro, they play a crucial role in regulating viral spread ex vivo in non-permissive cells and in vivo in hosts. Most accessory proteins are pleiotropic and instrumental in the counteraction of restriction factors and proteins involved in innate immune response.Several proteins of the “intrinsic” immune system that detect the presence of the assailant and initiate a subsequent immune response, as well as restriction factors that are directly devoted to arresting the replication cycle at precise steps have been characterized. Despite the numerous cellular mechanisms dedicated to preventing viral replication, HIV is able to efficiently replicate in humans. Indeed, as a master regulator of cellular machineries and processes, not only has HIV evolved strategies to avoid triggering of pattern recognition receptors, but HIV has also elaborated ways to counteract host restriction factors, thereby overcoming the hurdles that oppose efficient replication.
Microbiology & Immunology --- Biology --- Health & Biological Sciences --- HIV --- intracellular sensors --- restriction factors --- intrinsic immune system --- Viral accessory proteins
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Recent years have brought new insights to the understanding of Parkinson’s disease, impact of exercise and sound displays in rehabilitation and movement facilitation. There is growing evidence that auditory signals in the environment can provide a temporal template for movement and change the mode of motor control from intrinsic to extrinsic; habitual to goal-directed, enabling enhanced motor performance in patients. In addition, forced exercise rate studies show that exercising at the pace of healthy adults can have potential neuroprotective benefits for patients. Many research groups have explored the use of auditory cues (such as rhythmical auditory training) in improving gait and upper limb movement parameters. Cues are usually either intermittent (metronome) or continuous (dynamic sound displays). Similarly, dance based interventions suggest that patients benefit from additional sensory information (i.e. the temporal structure embedded in music and proprioceptive information from a dancing partner) that facilities movement. On the contrary, studies dedicated to auditory perception and motor timing report an impaired ability of patients to perceive and synchronise with complex rhythmical structures (i.e. causing an inability to play musical instruments). With the growth of modern technology and the increasing portability of hi-specification devices (such as smart phones), new research questions on the design of interventions are beginning to emerge as we strive for more efficient therapeutic approaches. In this Research Topic we wanted to bring together top scientists from the movement disorder, motor control and sound related studies along with therapists. That way, we can engage in cross-disciplinary and challenging scientific debate about future rehabilitation avenues and frontiers for Parkinson’s disease patients.
Parkinson's disease --- extrinsic and intrinsic motor control --- Ras --- timing --- Music Therapy --- Dance Therapy --- Cueing --- Perception-Action Coupling --- forced-pace exercise
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From the propagation of neural activity through synapses, to the integration of signals in the dendritic arbor, and the processes determining action potential generation, virtually all aspects of neural processing are plastic. This plasticity underlies the remarkable versatility and robustness of cortical circuits: it enables the brain to learn regularities in its sensory inputs, to remember the past, and to recover function after injury. While much of the research into learning and memory has focused on forms of Hebbian plasticity at excitatory synapses (LTD/LTP, STDP), several other plasticity mechanisms have been characterized experimentally, including the plasticity of inhibitory circuits (Kullmann, 2012), synaptic scaling (Turrigiano, 2011) and intrinsic plasticity (Zhang and Linden, 2003). However, our current understanding of the computational roles of these plasticity mechanisms remains rudimentary at best. While traditionally they are assumed to serve a homeostatic purpose, counterbalancing the destabilizing effects of Hebbian learning, recent work suggests that they can have a profound impact on circuit function (Savin 2010, Vogels 2011, Keck 2012). Hence, theoretical investigation into the functional implications of these mechanisms may shed new light on the computational principles at work in neural circuits. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of different plasticity mechanisms and of their contributions to circuit function. Topics of interest include the computational roles of plasticity of inhibitory circuitry, metaplasticity, synaptic scaling, intrinsic plasticity, plasticity within the dendritic arbor and in particular studies on the interplay between homeostatic and Hebbian plasticity, and their joint contribution to network function.
Computational neuroscience. --- Neuroplasticity. --- Intrinsic Plasticity --- structural plasticity --- heterosynaptic plasticity --- Homeostasis --- reward-modulated learning --- synaptic plasticity --- STDP --- inhibitory plasticity --- metaplasticity --- short-term plasticity
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It seems obvious that phenomenally conscious experience is something of great value, and that this value maps onto a range of important ethical issues. For example, claims about the value of life for those in Permanent Vegetative State (PVS); debates about treatment and study of disorders of consciousness; controversies about end-of-life care for those with advanced dementia; and arguments about the moral status of embryos, fetuses, and non-human animals arguably turn on the moral significance of various facts about consciousness. However, though work has been done on the moral significance of elements of consciousness, such as pain and pleasure, little explicit attention has been devoted to the ethical significance of consciousness.
Philosophy --- Consciousness --- Moral and ethical aspects. --- Apperception --- Mind and body --- Perception --- Psychology --- Spirit --- Self --- moral status --- affect --- phenomenal consciousness --- systematic account --- non-humans --- conscious experience --- valence --- humans --- nature --- Emotion --- Hedonism --- Instrumental and intrinsic value
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The aim of this Research Topic for Frontiers in Psychology under the section of Cognitive Science and Frontiers in Neurorobotics is to present state-of-the-art research, whether theoretical, empirical, or computational investigations, on open-ended development driven by intrinsic motivations. The topic will address questions such as: How do motivations drive learning? How are complex skills built up from a foundation of simpler competencies? What are the neural and computational bases for intrinsically motivated learning? What is the contribution of intrinsic motivations to wider cognition? Autonomous development and lifelong open-ended learning are hallmarks of intelligence. Higher mammals, and especially humans, engage in activities that do not appear to directly serve the goals of survival, reproduction, or material advantage. Rather, a large part of their activity is intrinsically motivated - behavior driven by curiosity, play, interest in novel stimuli and surprising events, autonomous goal-setting, and the pleasure of acquiring new competencies. This allows the cumulative acquisition of knowledge and skills that can later be used to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans artistic creativity, scientific discovery, and subjective well-being owe much to them. The study of intrinsically motivated behavior has a long history in psychological and ethological research, which is now being reinvigorated by perspectives from neuroscience, artificial intelligence and computer science. For example, recent neuroscientific research is discovering how neuromodulators like dopamine and noradrenaline relate not only to extrinsic rewards but also to novel and surprising events, how brain areas such as the superior colliculus and the hippocampus are involved in the perception and processing of events, novel stimuli, and novel associations of stimuli, and how violations of predictions and expectations influence learning and motivation. Computational approaches are characterizing the space of possible reinforcement learning algorithms and their augmentation by intrinsic reinforcements of different kinds. Research in robotics and machine learning is yielding systems with increasing autonomy and capacity for self-improvement: artificial systems with motivations that are similar to those of real organisms and support prolonged autonomous learning. Computational research on intrinsic motivation is being complemented by, and closely interacting with, research that aims to build hierarchical architectures capable of acquiring, storing, and exploiting the knowledge and skills acquired through intrinsically motivated learning. Now is an important moment in the study of intrinsically motivated open-ended development, requiring contributions and integration across a large number of fields within the cognitive sciences. This Research Topic aims to contribute to this effort by welcoming papers carried out with ethological, psychological, neuroscientific and computational approaches, as well as research that cuts across disciplines and approaches.
Computational neuroscience. --- Autonomous robots. --- Autonomous robotic systems --- Robots --- Computational neurosciences --- Computational biology --- Neurosciences --- computational models --- intrinsic motivations --- autonomous robotics --- novelty and surprise --- review --- cumulative learning and development --- brain and behavior --- reinforcement learning
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This is a collection of 18 papers, two of which are reviews and seven are invited feature papers, that together form the Photonics Special Issue “Semiconductor Laser Dynamics: Fundamentals and Applications”, published in 2020. This collection is edited by Daan Lenstra, an internationally recognized specialist in the field for 40 years.
injection locking --- optical filter --- semiconductor laser --- optical comb --- semiconductor lasers --- nonlinear dynamics --- optical injection --- chaos synchronization --- intra-cavity propagation delay --- secure optical communication --- quantum dot lasers --- excited-state --- chaos --- chaotic communication --- communication system security --- coupled lasers --- stability --- normal modes --- coupled modes --- optical injection locking --- microwave carrier generation --- hybrid photonic integration --- locking range --- photonic integrated circuit --- microwave generation --- laser dynamics --- optoelectronics oscillator --- photonic integrated circuits --- mutual coupling --- semiconductor ring laser --- optical feedback --- laser stability --- parity–time symmetry --- intensity dynamics --- feedback --- delay --- reservoir computing --- neuromorphic computing --- two delay-coupled lasers --- weak coupling limit --- optically injected laser --- InP semiconductor optical amplifier --- hybrid integration --- narrow intrinsic linewidth --- dual-wavelength laser --- laser frequency comb --- integrated photonic circuits --- low-loss Si3N4 waveguides --- external-cavity diode laser --- interference filter --- laser diode --- laser stabilization --- space optical clock --- high-speed VCSELs --- multi-mode VCSELs --- intrinsic laser dynamics --- equivalent circuit modeling --- intrinsic modulation response --- bifurcations --- laser chaos --- chaotic laser diode --- dynamics and stability --- laser coupling --- integrated lasers
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The Special Issue “Nanostructured Materials Based on Noble Metals for Advanced Biological Applications” highlights the recent progress in gold and silver nanomaterials preparation/synthesis as well as their innovative applications in advanced applications, such as in nanomedicine and nanosensors. It is nowadays generally accepted that nanostructured noble metals allow the production of highly competitive materials. In fact, a specific design and rather simple and reliable preparation techniques can be used to obtain optimized material uses and possibilities for their reusability. One expects amazing future developments for these nanotechnologies from research laboratories to key industrial areas. The Guest Editor and the MDPI staff are therefore pleased to offer this Special Issue to interested readers, including researchers, graduate and PhD students as well as postdoctoral researchers, but also to the entire community interested in the wide world of nanomaterials.
gold --- nanostructure --- EDTA tetrasodium salt --- photothermal therapy --- silver nanoparticles --- biomedical applications --- biological interactions --- biofunctional performances --- intrinsic anti-inflammatory activity --- antimicrobial efficiency --- localized surface plasmon resonance --- dip-coating --- capillary force --- exosome --- gold nanoparticles --- copper(I) complexes --- conjugates --- drug delivery --- anticancer compounds --- niosomes --- liposomes --- plasmonic materials --- nanocarriers --- Hg2+ sensors --- heavy metal sensing --- plasmonic sensors --- optical sensors --- ecosafety --- nanoparticles --- interactions --- protein corona --- nanomedicine --- biomolecules --- nanomaterials --- noble metal nanoparticles --- gold nanomaterials --- silver nanomaterials --- hybrid metal–polymer nanoparticles --- biotechnological applications --- nanomaterials for drug delivery --- nanomaterials for sensing
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Disordered proteins are relatively recent newcomers in protein science. They were first described in detail by Wright and Dyson, in their J. Mol. Biol. paper in 1999. First, it was generally thought for more than a decade that disordered proteins or disordered parts of proteins have different amino acid compositions than folded proteins, and various prediction methods were developed based on this principle. These methods were suitable for distinguishing between the disordered (unstructured) and structured proteins known at that time. In addition, they could predict the site where a folded protein binds to the disordered part of a protein, shaping the latter into a well-defined 3D structure. Recently, however, evidence has emerged for a new type of disordered protein family whose members can undergo coupled folding and binding without the involvement of any folded proteins. Instead, they interact with each other, stabilizing their structure via “mutual synergistic folding” and, surprisingly, they exhibit the same residue composition as the folded protein. Increasingly more examples have been found where disordered proteins interact with non-protein macromolecules, adding to the already large variety of protein–protein interactions. There is also a very new phenomenon when proteins are involved in phase separation, which can represent a weak but functionally important macromolecular interaction. These phenomena are presented and discussed in the chapters of this book.
intrinsically disordered proteins --- epiproteome --- disordered protein platform --- molecular recognition feature --- post-translational modifications --- physiological homeostasis --- stress response --- RIN4 --- p53 --- molecular machines --- intrinsically disordered protein --- membrane-less organelle --- neurodegenerative disease --- p300 HAT acetylation --- post-translational modification --- protein aggregation --- Tau fibrillation --- intrinsically disorder proteins --- disorder-to-order regions --- protein–RNA interactions --- unstructured proteins --- conformational plasticity --- disordered protein --- folding --- ribosomal protein --- spectroscopy --- protein stability --- temperature response --- protein thermostability --- salt bridges --- meta strategy --- dual threshold --- significance voting --- decision tree based artificial neural network --- protein intrinsic disorder --- intrinsic disorder --- intrinsic disorder prediction --- intrinsically disordered region --- protein conformation --- transcriptome --- RNA sequencing --- Microarray --- differentially regulated genes --- gene ontology analysis --- functional analysis --- intrinsically disordered --- structural disorder --- correlated mutations --- co-evolution --- evolutionary couplings --- residue co-variation --- interaction surface --- residue contact network --- dehydron --- homodimer --- hydrogen bond --- inter-subunit interaction --- ion pair --- mutual synergistic folding --- solvent-accessible surface area --- stabilization center --- MLL proteins --- MLL4 --- lncRNA --- HOTAIR --- MEG3 --- leukemia --- histone lysine methyltransferase --- RNA binding --- protein --- hydration --- wide-line 1H NMR --- secretion --- immune --- extracellular --- protein-protein interaction --- structural domain --- evolution --- transcription factors --- DNA-protein interactions --- Sox2 sequential DNA loading --- smFRET --- DNA conformational landscape --- sequential DNA bending --- transcription factor dosage --- oligomer --- N-terminal prion protein --- copper binding --- prion disease mutations --- Nuclear pore complex --- FG-Nups --- phosphorylation --- coarse-grained --- CABS model --- MC simulations --- statistical force fields --- protein structure --- intrinsically disordered proteins (IDPs) --- neurodegenerative diseases --- aggregation --- drugs --- drug discovery --- plant virus --- eIF4E --- VPg --- potyvirus --- molten globule --- fluorescence anisotropy --- protein hydrodynamics
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