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  • BF1-990  (220)
  • thema EDItEUR::N History and Archaeology::NH History::NHD European history  (104)
  • Frontiers Media SA  (220)
  • Presses universitaires de Rennes  (104)
  • 2020-2024  (324)
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  • 2020-2024  (324)
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  • 1
    Publication Date: 2024-04-11
    Description: An increasing number of countries are shifting toward sustainable energy economies, emphasizing the use of renewable energy sources, increases in energy efficiency and the abatement of greenhouse gas emissions. The success of such an energy transition will depend not only on the development of new energy technologies, but also on major changes in the patterns of individual energy-related decisions and behaviors resulting in substantial reductions in energy demand. Consequently, the behavioral sciences can make important contributions to the energy transition by increasing our understanding of the multiple factors and mechanisms that underlie individual as well as group-based decisions and behaviors in the energy domain and by creating a basis for systematic interventions that reduce energy usage. Many different types of relevant behaviors and decisions need to be considered in this context, including decisions to invest in energy-efficient household equipment, adjustments of energy-critical habits related to heating, eating, or mode of transportation, and participation in the political discourse related to questions of energy. An integration of the expertise of the different disciplines of the behavioral sciences is thus needed to comprehensively investigate the impact of the different drivers and barriers that may determine energy-related decisions and behaviors, including economic factors such as price level, social factors such as norms, communication patterns and social learning processes, and individual factors such as values, attitudes, beliefs, heuristics, affective biases and emotions. The potential impact of these factors on the success of the energy transition is considerable: for example, a recent projection of the energy demand in Switzerland until 2050 has estimated the reduction potential related to psychological and sociological factors between 0% and 30%, depending on which behavioral changes will be implemented in society. Increased research efforts from the behavioral sciences are required to ensure that the full reduction potential can be achieved. This Research Topic brings together contributions from different disciplines such as psychology, affective science, behavioral economics, economics, sociology, consumer behavior, business science, sociology, and political science, that improve our understanding of the many factors underlying decision-making and behavior in the energy domain, and contribute to the development of targeted interventions that aim at reducing energy demand based on these factors.
    Keywords: TA1-2040 ; BF1-990 ; Q1-390 ; determinants ; Interventions ; Energy ; Decisions ; behavioral insights ; sustainability ; consumer ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 2
    Publication Date: 2024-04-11
    Description: The development of information technology enabled us to exchange more items of information among us no matter how far we are apart from each other. It also changed our way of communication. Various types of robots recently promoted to be sold to general public hint that these robots may further influence our daily life as they physically interact with us and handle objects in environment. We may even recognize a feel of presence similar to that of human beings when we talk to a robot or when a robot takes part in our conversation. The impact will be strong enough for us to think about the meaning of communication. This e-book consists of various studies that examine our communication influenced by robots. Topics include our attitudes toward robot behaviors, designing robots for better communicating with people, and how people can be affected by communicating through robots.
    Keywords: TA1-2040 ; BF1-990 ; T58.5-58.64 ; Q1-390 ; robot ; human nature ; teleoperation ; enhancement ; embodiment ; Communication ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 3
    Publication Date: 2024-04-05
    Description: Spatial-hearing ability has been found to vary widely across listeners. A survey of the existing auditory-space perception literature suggests that three main types of factors may account for this variability: - physical factors, e.g., acoustical characteristics related to sound-localization cues, - perceptual factors, e.g., sensory/cognitive processing, perceptual learning, multisensory interactions, - and methodological factors, e.g., differences in stimulus presentation methods across studies. However, the extent to which these–and perhaps other, still unidentified—factors actually contribute to the observed variability in spatial hearing across individuals with normal hearing or within special populations (e.g., hearing-impaired listeners) remains largely unknown. Likewise, the role of perceptual learning and multisensory interactions in the emergence of a multimodal but unified representation of “auditory space,” is still an active topic of research. A better characterization and understanding of the determinants of inter-individual variability in spatial hearing, and of its relationship with perceptual learning and multisensory interactions, would have numerous benefits. In particular, it would enhance the design of rehabilitative devices and of human-machine interfaces involving auditory, or multimodal space perception, such as virtual auditory/multimodal displays in aeronautics, or navigational aids for the visually impaired. For this Research Topic, we have considered manuscripts that: - present new methods, or review existing methods, for the study of inter-individual differences; - present new data (or review existing) data, concerning acoustical features relevant for explaining inter-individual differences in sound-localization performance; - present new (or review existing) psychophysical or neurophysiological findings concerning spatial hearing and/or auditory perceptual learning, and/or multisensory interactions in humans (normal or impaired, young or older listeners) or other species; - discuss the influence of inter-individual differences on the design and use of assistive listening devices (rehabilitation) or human-machine interfaces involving spatial hearing or multimodal perception of space (ergonomy).
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; Learning ; HRTF (head related transfer function) ; Sound Localization ; spatial hearing ; adaptation ; training ; binaural cues ; spectral cues ; mulltisensory interaction ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 4
    Publication Date: 2024-04-05
    Description: Sigmund Freud was a trained neuroanatomist and wrote his first psychoanalytical theory in neuroscientific terms. Throughout his life, he maintained the belief that at some distant day in the future, all psychoanalytic processes could be tied to a neural basis: “We must recollect that all of our provisional ideas in psychology will presumably one day be based on an organic substructure” (Freud 1914, On Narcissism: An Introduction). Fundamental Freudian concepts reveal their foundation in the physiological science of his time, most importantly among them the concept of libidinous energy and the homeostatic “principle of constancy”. However, the subsequent history of psychoanalysis and neuroscience was mainly characterized by mutual ignorance or even opposition; many scientists accused psychoanalytic viewpoints not to be scientifically testable, and many psychoanalysts claimed that their theories did not need empirical support outside of the therapeutic situation. On this historical background, it may appear surprising that the recent years have seen an increasing interest in re-connecting psychoanalysis and neuroscience in various ways: By studying psychodynamic consequences of brain lesions in neurological patients, by investigating how psychoanalytic therapy affects brain structure and function, or even by operationalizing psychoanalytic concepts in well-controlled experiments and exploring their neural correlates. These empirical studies are accompanied by theoretical work on the philosophical status of the “neuropsychoanalytic” endeavour. In this volume, we attempt to provide a state-of-the-art overview of this new exciting field. All types of submissions are welcome, including research in patient populations, healthy human participants and animals, review articles on some empirical or theoretical aspect, and of course also critical accounts of the new field. Despite this welcome variability, we would like to suggest that all contributions attempt to address one (or both) of two main questions, which should motivate the connection between psychoanalysis and neuroscience and that in our opinion still remain exigent: First, from the neuroscientific side, why should researchers in the neurosciences address psychoanalytic ideas, and what is (or will be) the impact of this connection on current neuroscientific theories? Second, from the psychoanalytic side, why should psychoanalysts care about neuroscientific studies, and (how) can current psychoanalytical theory and practice benefit from their results? Of course, contributors are free to provide a critical viewpoint on these two questions as well.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; Neuroscience ; Neuropsychoanalysis ; psychodynamic psychotherapy ; psychoanalysis ; neuroimaging ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 5
    Publication Date: 2024-04-05
    Description: 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.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; computational models ; intrinsic motivations ; autonomous robotics ; novelty and surprise ; review ; cumulative learning and development ; brain and behavior ; reinforcement learning ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 6
    Publication Date: 2024-04-05
    Description: Music processing in severely brain-injured patients with disorders of consciousness has been an emergent field of interest for over 30 years, spanning the disciplines of neuroscience, medicine, the arts and humanities. Disorders of consciousness (DOC) is an umbrella term that encompasses patients who present with disorders across a continuum of consciousness including people who are in a coma, in vegetative state (VS)/have unresponsive wakefulness syndrome (UWS), and in minimally conscious state (MCS). Technological developments in recent years, resulting in improvements in medical care and technologies, have increased DOC population numbers, the means for investigating DOC, and the range of clinical and therapeutic interventions under validation. In neuroimaging and behavioural studies, the auditory modality has been shown to be the most sensitive in diagnosing awareness in this complex population. As misdiagnosis remains a major problem in DOC, exploring auditory responsiveness and processing in DOC is, therefore, of central importance to improve therapeutic interventions and medical technologies in DOC. In recent years, there has been a growing interest in the role of music as a potential treatment and medium for diagnosis with patients with DOC, from the perspectives of research, clinical practice and theory. As there are almost no treatment options, such a non-invasive method could constitute a promising strategy to stimulate brain plasticity and to improve consciousness recovery. It is therefore an ideal time to draw together specialists from diverse disciplines and interests to share the latest methods, opinions, and research on this topic in order to identify research priorities and progress inquiry in a coordinated way. This Research Topic aimed to bring together specialists from diverse disciplines involved in using and researching music with DOC populations or who have an interest in theoretical development on this topic. Specialists from the following disciplines participated in this special issue: neuroscience; medicine; music therapy; clinical psychology; neuromusicology; and cognitive neuroscience.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; disorders of consciousness ; Coma ; sensory stimulation ; Brain Injury ; Minimally Conscious State ; Music ; Music Therapy ; Arousal ; Rehabilitation ; vegetative state ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 7
    Publication Date: 2024-04-05
    Description: Emotion can impact various aspects of our cognition and behavior, by enhancing or impairing them (e.g., enhanced attention to and memory for emotional events, or increased distraction produced by goal-irrelevant emotional information). On the other hand, emotion processing is also susceptible to cognitive influences, typically exerted in the form of cognitive control of motion, or emotion regulation. Despite important recent progress in understanding emotion- cognition interactions, a number of aspects remain unclear. The present book comprises a collection of manuscripts discussing emerging evidence regarding the mechanisms underlying emotion- cognition interactions in healthy functioning and alterations associated with clinical conditions, in which such interactions are dysfunctional. Initiated with a more restricted focus, targeting (1) identification and in depth analysis of the circumstances in which emotion enhances or impairs cognition and (2)identification of the role of individual differences in these effects, our book has emerged into a comprehensive collection of outstanding contributions investigating emotion-cognition interactions, based on approaches spanning from behavioral and lesion to pharmacological and brain imaging, and including empirical, theoretical, and review papers alike. Co-hosted by the Frontiers in Neuroscience - Integrative Neuroscience and Frontiers in Psychology - Emotion Science, the contributions comprising our book and the associated research topic are grouped around the following seven main themes, distributed across the two hosting journals: I. Emotion and Selectivity in Attention and Memory; II. The Impact of Emotional Distraction; Linking Enhancing and Impairing Effects of Emotion; III. What Really is the Role of the Amygdala?; IV. Age Differences in Emotion Processing; The Role of Emotional Valence; V. Affective Face Processing, Social Cognition, and Personality Neuroscience; VI. Stress, Mood, Emotion, and the Prefrontal Cortex; The Role of Control in the Stress Response; VII. Emotion-Cognition Interactions in Clinical Conditions. As illustrated by the present collection of contributions, emotion-cognition interactions can be identified at different levels of processing, from perception and attention to long- term memory, decision making processes, and social cognition and behavior. Notably, these effects are subject to individual differences that may affect the way we perceive, experience, and remember emotional experiences, or cope with emotionally challenging situations. Moreover, these opposing effects tend to co-occur in affective disorders, such as depression and PTSD, where uncontrolled recollection of and rumination on distressing memories also lead to impaired cognition due to emotional distraction. Understanding the nature and neural mechanisms of these effects is critical, as their exacerbation and co-occurrence in clinical conditions lead to devastating effects and debilitation. Hence, bringing together such diverse contributions has allowed not only an integrative understanding of the current extant evidence but also identification of emerging directions and concrete venues for future investigations.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; age-related differences ; stress ; social and personality neuroscience ; Affective Disorders ; Motivated Attention ; Emotional Distraction ; Emotional Memory ; amygdala/prefrontal cortex ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 8
    Publication Date: 2024-04-05
    Description: Communication is vital for social participation. However, communication often takes place under suboptimal conditions. This makes communication harder and less reliable, leading at worst to social isolation. In order to promote participation, it is necessary to understand the mechanisms underlying communication in different situations. Human communication is often speech based, either oral or written, but may also involve gesture, either accompanying speech or in the form of sign language. For communication to be achieved, a signal generated by one person has to be perceived by another person, attended to, comprehended and responded to. This process may be hindered by adverse conditions including factors that may be internal to the sender (e.g. incomplete or idiosyncratic language production), occur during transmission (e.g. background noise or signal processing) or be internal to the receiver (e.g. poor grasp of the language or sensory impairment). The extent to which these factors interact to generate adverse conditions may differ across the lifespan. Recent work has shown that successful speech communication under adverse conditions is associated with good cognitive capacity including efficient working memory and executive abilities such as updating and inhibition. Further, frontoparietal networks associated with working memory and executive function have been shown to be activated to a greater degree when it is harder to achieve speech comprehension. To date, less work has focused on sign language communication under adverse conditions or the role of gestures accompanying speech communication under adverse conditions. It has been proposed that the role of working memory in communication under such conditions is to keep fragments of an incomplete signal in mind, updating them as appropriate and inhibiting irrelevant information, until an adequate match can be achieved with lexical and semantic representations held in long term memory. Recent models of working memory highlight an episodic buffer whose role is the multimodal integration of information from the senses and long term memory. It is likely that the episodic buffer plays a key role in communication under adverse conditions. The aim of this research topic is to draw together multiple perspectives on communication under adverse conditions including empirical and theoretical approaches. This will facilitate a scientific exchange among individual scientists and groups studying different aspects of communication under adverse conditions and/or the role of cognition in communication. As such, this topic belongs firmly within the field of Cognitive Hearing Science. Exchange of ideas among scientists with different perspectives on these issues will allow researchers to identify and highlight the way in which different internal and external factors interact to make communication in different modalities more or less successful across the lifespan. Such exchange is the forerunner of broader dissemination of results which ultimately, may make it possible to take measures to reduce adverse conditions, thus facilitating communication. Such measures might be implemented in relation to the built environment, the design of hearing aids and public awareness.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; Deafness ; Hearing ; working memory ; speech understanding ; Signal processing ; adverse conditions ; Cognition ; Executive Function ; Communication ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 9
    Publication Date: 2024-04-05
    Description: Humans and many other social animals decide, or learn when necessary, what to do in a given social situation by assessing a range of variables related to social states (e.g., competitive or cooperative), others’ overt behavior (e.g., response choices and outcomes), others’ covert mental states (e.g., beliefs, intentions and desires), and one’s own interpersonal inclination (e.g. other-regarding preferences and generosity). Recent studies in social neuroscience have begun to uncover how such social variables are processed, encoded, and integrated in the brain. The goal of the current Research Topic is to promote a better understanding of neural basis of social learning, social decision-making, and other-regarding preferences.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; prosocial behavior ; competitive behavior ; oxytocin ; social gaze orienting ; social neuroscience ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 10
    Publication Date: 2024-04-05
    Description: At the core of the many debates throughout cognitive science concerning how decisions are made are the processes governing the time course of preference formation and decision. From perceptual choices, such as whether the signal on a radar screen indicates an enemy missile or a spot on a CT scan indicates a tumor, to cognitive value-based decisions, such as selecting an agreeable flatmate or deciding the guilt of a defendant, significant and everyday decisions are dynamic over time. Phenomena such as decoy effects, preference reversals and order effects are still puzzling researchers. For example, in a legal context, jurors receive discrete pieces of evidence in sequence, and must integrate these pieces together to reach a singular verdict. From a standard Bayesian viewpoint the order in which people receive the evidence should not influence their final decision, and yet order effects seem a robust empirical phenomena in many decision contexts. Current research on how decisions unfold, especially in a dynamic environment, is advancing our theoretical understanding of decision making. This Research Topic aims to review and further explore the time course of a decision - from how prior beliefs are formed to how those beliefs are used and updated over time, towards the formation of preferences and choices and post-decision processes and effects. Research literatures encompassing varied approaches to the time-scale of decisions will be brought into scope: a) Speeded decisions (and post-decision processes) that require the accumulation of noisy and possibly non-stationary perceptual evidence (e.g., randomly moving dots stimuli), within a few seconds, with or without temporal uncertainty. b) Temporally-extended, value-based decisions that integrate feedback values (e.g., gambling machines) and internally-generated decision criteria (e.g., when one switches attention, selectively, between the various aspects of several choice alternatives). c) Temporally extended, belief-based decisions that build on the integration of evidence, which interacts with the decision maker's belief system, towards the updating of the beliefs and the formation of judgments and preferences (as in the legal context). Research that emphasizes theoretical concerns (including optimality analysis) and mechanisms underlying the decision process, both neural and cognitive, is presented, as well as research that combines experimental and computational levels of analysis.
    Keywords: RC321-571 ; BF1-990 ; Q1-390 ; Decision Making ; Belief ; data-generating process ; Evidence Accumulation ; Problem Solving ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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