Academic literature on the topic 'Temporal regularities'

AbstractWhile temporal expectations (TE) generally improve reactions to temporally predictable events, it remains unknown how the learning of temporal regularities (one time point more likely than another time point) and explicit knowledge about temporal regularities contribute to performance improvements; and whether any contributions generalise across modalities. Here, participants discriminated the frequency of diverging auditory, visual or audio-visual targets embedded in auditory, visual or audio-visual distractor sequences. Temporal regularities were manipulated run-wise (early vs. late target within sequence). Behavioural performance (accuracy, RT) plus measures from a computational learning model all suggest that learning of temporal regularities occurred but did not generalise across modalities, and that dynamics of learning (size of TE effect across runs) and explicit knowledge have little to no effect on the strength of TE. Remarkably, explicit knowledge affects performance—if at all—in a context-dependent manner: Only under complex task regimes (here, unknown target modality) might it partially help to resolve response conflict while it is lowering performance in less complex environments.

The sensory input that we experience is highly patterned, and we are experts at detecting these regularities. Although the extraction of such regularities, or statistical learning (SL), is typically viewed as a cortical process, recent studies have implicated the medial temporal lobe (MTL), including the hippocampus. These studies have employed fMRI, leaving open the possibility that the MTL is involved but not necessary for SL. Here, we examined this issue in a case study of LSJ, a patient with complete bilateral hippocampal loss and broader MTL damage. In Experiments 1 and 2, LSJ and matched control participants were passively exposed to a continuous sequence of shapes, syllables, scenes, or tones containing temporal regularities in the co-occurrence of items. In a subsequent test phase, the control groups exhibited reliable SL in all conditions, successfully discriminating regularities from recombinations of the same items into novel foil sequences. LSJ, however, exhibited no SL, failing to discriminate regularities from foils. Experiment 3 ruled out more general explanations for this failure, such as inattention during exposure or difficulty following test instructions, by showing that LSJ could discriminate which individual items had been exposed. These findings provide converging support for the importance of the MTL in extracting temporal regularities.

During active behavior humans redirect their gaze several times every second within the visual environment. Where we look within static images is highly efficient, as quantified by computational models of human gaze shifts in visual search and face recognition tasks. However, when we shift gaze is mostly unknown despite its fundamental importance for survival in a dynamic world. It has been suggested that during naturalistic visuomotor behavior gaze deployment is coordinated with task-relevant events, often predictive of future events, and studies in sportsmen suggest that timing of eye movements is learned. Here we establish that humans efficiently learn to adjust the timing of eye movements in response to environmental regularities when monitoring locations in the visual scene to detect probabilistically occurring events. To detect the events humans adopt strategies that can be understood through a computational model that includes perceptual and acting uncertainties, a minimal processing time, and, crucially, the intrinsic costs of gaze behavior. Thus, subjects traded off event detection rate with behavioral costs of carrying out eye movements. Remarkably, based on this rational bounded actor model the time course of learning the gaze strategies is fully explained by an optimal Bayesian learner with humans’ characteristic uncertainty in time estimation, the well-known scalar law of biological timing. Taken together, these findings establish that the human visual system is highly efficient in learning temporal regularities in the environment and that it can use these regularities to control the timing of eye movements to detect behaviorally relevant events.

L'apprentissage implicite est une acquisition d'information complexe sans intention d'apprendre. Le but de cette thèse est de déterminer comment des régularités temporelles peuvent influencer l'apprentissage implicite d'une grammaire artificielle basée sur des structures de hauteur des notes. Selon la théorie de l'attention dynamique (Jones, 1976), il y a une synchronisation entre des régularités temporelles des événements externes et des oscillateurs internes qui guide l'attention à travers le temps et aide à développer les attentes perceptives et temporelles. Notre hypothèse est que des structures métriques fortes pourront stimuler l'apprentissage implicite. Nous faisons l'hypothèse que le fait de présenter des hauteurs de notes avec des structures métriques fortes permet de développer des attentes temporelles par rapport à l'arrivée du prochain évènement. Ces attentes facilitent le traitement de hauteur des notes et ensuite «boostent» l'apprentissage implicite de la grammaire artificielle. Trois études ont été réalisées pendant cette thèse. L'étude 1 était une étude comportementale dans laquelle nous avons étudié l'influence d'une présentation temporelle régulière (avec une métrique forte) vs. irrégulière sur l'apprentissage implicite d'une grammaire artificielle basée sur des structures de hauteur des notes. Les résultats ont montré que la présentation temporelle influence l'apprentissage implicite et que la présentation temporelle régulière représente un avantage pour l'apprentissage implicite par rapport à la présentation temporelle irrégulière. Dans une étude électrophysiologique (L'étude 2) nous avons étudié quelle présentation temporelle de la grammaire artificielle, rythmique avec une métrique forte ou isochrone, serait plus efficace pour apprendre implicitement la grammaire des hauteurs des notes. Les résultats électrophysiologiques ont montré que les structures métriques apportent un bénéfice supplémentaire à l'apprentissage implicite. Dans l'étude 3 nous avons étudié comment des structures métriques fortes permettent d'améliorer les capacités d'apprentissage implicite chez des patients avec des lésions dans le cortex frontal inférieur qui ont été décrits comme déficitaires pour apprendre des structures artificielles. Les résultats comportementaux et électrophysiologiques ont montré que les patients atteints de lésions dans le cortex frontal inférieur sont capables d'apprendre une nouvelle grammaire artificielle malgré leurs lésions et leur déficit syntaxique. Il pourrait être utile d'exploiter cet avantage de la présentation métrique chez les patients, pour qui un déficit de l'apprentissage implicite a été montré avec des matériaux non-métriques et non musicaux
The thesis aims to investigate how temporal regularities can influence the implicit learning of artificial pitch structures. Implicit learning refers to the acquisition of structure knowledge by mere exposure. According to the Dynamic Attending Theory proposed by Jones (Jones, 1976), internal attentional oscillators synchronize with external temporal regularities, helping to guide attention over time and to develop temporal and perceptual expectations about future events. We made the hypothesis that strongly metrical structures might boost implicit learning, and in particular, that the strongly metrical presentation of pitch structures helps listeners to develop temporal expectations about the occurrence of the next event and thus benefits to the processing of the pitch dimension, leading to better learning of the artificial material. Three studies were realized during this PhD thesis. In Study 1, we used a behavioral approach to investigate how regular and irregular temporal presentations of an artificial pitch grammar influence implicit learning. The data revealed that both types of temporal presentations can influence implicit learning, but that the regular presentation leads to an advantage over the irregular presentation. In Study 2, we used behavioral and electrophysiological methods to investigate which type of regular temporal presentation of the artificial grammar, i.e. strongly metrical or isochronous, leads to better implicit learning of pitch structures. Electrophysiological results showed that the metrical framework provided an additional benefit for the pitch structure learning. In Study 3, we investigated whether the strongly metrical presentation allows patients with left inferior frontal lesions (with previously reported deficits for implicit learning) to learn the artificial pitch grammar. Behavioral and electrophysiological results showed that patients with left inferior frontal gyrus lesions acquired the new artificial grammar despite their lesions and despite previously reported deficits in implicit learning and syntax processing of natural language. It might be useful to exploit the potential benefit of the strongly metrical presentation further in patients for who impaired IL has been shown with non-musical and non-metrical materials

The human central auditory system can automatically extract abstract regularities from a variant auditory input. To this end, temporarily separated events need to be related. This study tested whether the timing between events, falling either within or outside the temporal window of integration (~350 ms), impacts the extraction of abstract feature relations. We utilized tone pairs for which tones within but not across pairs revealed a constant pitch relation (e.g., pitch of second tone of a pair higher than pitch of first tone, while absolute pitch values varied across pairs). We measured the mismatch negativity (MMN; the brain’s error signal to auditory regularity violations) to second tones that rarely violated the pitch relation (e.g., pitch of second tone lower). A Short condition in which tone duration (90 ms) and stimulus onset asynchrony between the tones of a pair were short (110 ms) was compared to two conditions, where this onset asynchrony was long (510 ms). In the Long Gap condition, the tone durations were identical to Short (90 ms), but the silent interval was prolonged by 400 ms. In Long Tone, the duration of the first tone was prolonged by 400 ms, while the silent interval was comparable to Short (20 ms). Results show a frontocentral MMN of comparable amplitude in all conditions. Thus, abstract pitch relations can be extracted even when the within-pair timing exceeds the integration period. Source analyses indicate MMN generators in the supratemporal cortex. Interestingly, they were located more anterior in Long Gap than in Short and Long Tone. Moreover, frontal generator activity was found for Long Gap and Long Tone. Thus, the way in which the system automatically registers irregular abstract pitch relations depends on the timing of the events to be linked. Pending that the current MMN data mirror established abstract rule representations coding the regular pitch relation, neural processes building these templates vary with timing.

Au cœur de la plupart de nos activités quotidiennes, la mémoire de travail est une fonction cognitive permettant de maintenir des informations à court terme tout en traitant d’autres informations (Atkinson & Shiffrin, 1968 ; Baddeley & Hitch, 1974). Différents modèles s’accordent sur le rôle central de l’attention dans la mémoire de travail, notamment via un mécanisme de maintienspécifique : le rafraîchissement attentionnel (Johnson, 1992). La présente thèse s’est intéressée à ce mécanisme encore assez mal connu chez des populations jeunes et âgées.La mémoire de travail de travail semble altérée dans le vieillissement et de récents travaux suggèrent que cette altération pourrait résulter d’un déficit du rafraîchissement attentionnel chez les adultes âgés (Hoareau, Lemaire, Portrat, & Plancher, 2016 ; Jarjat et al., 2018 ; Plancher, Boyer, Lemaire, & Portrat, 2017). Une mesure comportementale du rafraîchissement a été utilisée pour tester l’hypothèse du ralentissement du rafraîchissement attentionnel dans le vieillissement. Cependant, nos résultats suggèrent plutôt que les adultes âgés auraient des difficultés à initier un mécanisme de rafraîchissement, confortant l’hypothèse d’une altération (mais pas nécessairement un ralentissement) du rafraîchissement attentionnel dans le vieillissement.Afin de développer un moyen d’améliorer le rafraîchissement attentionnel des adultes jeunes et âgés, nous nous sommes ensuite tournées vers la théorie de l’attention dynamique (Jones, 1976 ; Jones & Boltz, 1989 ; Large & Jones, 1999). Issue des travaux sur la cognition musicale, la théorie de l’attention dynamique propose que la distribution des ressources attentionnelles puisse être guidée par une structure temporelle externe et régulière, résultant en une meilleure allocation des ressources attentionnelles et une amélioration des traitements perceptifs et cognitifs. Puisque le rafraîchissement est un mécanisme attentionnel, nous avons fait l’hypothèse que la présence de régularités temporelles durant le maintien en mémoire de travail pourrait le rendre plus efficace. Nos études révèlent que la présence d’un rythme auditif régulier durant la rétention d’informationsaméliore, en effet, le rafraîchissement attentionnel chez les adultes jeunes et certains les adultes âgés qui ont de bonnes capacités d’inhibition.Puisque le rafraîchissement attentionnel a été étudié jusqu’à maintenant par le biais de mesures comportementales indirectes, nous avons cherché à identifier une mesure plus directe de ce mécanisme via une mesure électrophysiologique du rafraîchissement. Les mesures électroencéphalographiques effectuées durant le maintien en mémoire de travail suggèrent que les oscillations neurales, particulièrement dans les bandes de fréquence bêta, sont impliquées dans lerafraîchissement attentionnel.Nos résultats confortent l’intérêt d’utiliser des techniques interventionnelles musicales et/ou rythmiques pour pallier les altérations de la mémoire de travail. Les travaux de cette thèse offrent de nouvelles perspectives pour (1) l’étude de l’altération du maintien en mémoire de travail dans le vieillissement et (2) l’effet bénéfique de la présence d’une structure temporelle régulière sur les oscillations neurales durant le maintien en mémoire de travail. À plus long-terme, l’utilisation del’électroencéphalographie devrait permettre de mieux comprendre l’impact de ces interventions sur le fonctionnement de la mémoire de travail
Working memory is at the core of most of our daily-life activities. This cognitive function allows maintaining information at short-term while processing other information (Atkinson & Shiffrin, 1968 ; Baddeley & Hitch, 1974). Several models have agreed on the central role of attention in working memory, in particular via a specific maintenance mechanism: attentional refreshing (Johnson, 1992). The present PhD thesis investigated this mechanism, which is still not well known, in young and old adults.Working memory seem to be impaired in aging, and recent studies have suggested that this impairment could be due to a deficit of attentional refreshing in old adults (Hoareau et al., 2016 ; Jarjat et al., 2018 ; Plancher et al., 2017). A behavioral measure of refreshing was used to test the hypothesis of a slowing down of refreshing in aging. However, our results rather suggest an agerelated deficit in the initiation of attentional refreshing and are thus in line with the hypothesis of an impairment (but not necessarily a slowing) of attentional refreshing in aging.To develop a way to improve attentional refreshing in young and old adults, we focused on the dynamic attending theory (Jones, 1976 ; Jones & Boltz, 1989 ; Large & Jones, 1999). Based on music cognition research, the dynamic attending theory proposes that the distribution of attentional resources can be guided in the presence of an external and temporally regular structure, resulting in a better allocation of attentional resources and enhanced perceptual and cognitive processing. As refreshing is an attentional mechanism, we hypothesized that this mechanism might benefit from the presence of temporal regularities during maintenance in working memory. Our studies revealed that the presence of an auditory, temporally regular rhythm during retention benefits indeed attentional refreshing in young adults and some in old adults who have with greater inhibition capacities.As attentional refreshing has been investigated up to now only with indirect behavioral measures, we aimed for a more direct assessment of this mechanism by investigating electrophysiological measures of refreshing. Electroencephalographical recordings during maintenance in working memory suggested that neural oscillations, especially in the beta-bandfrequency range, are involved in attentional refreshing.Our findings strengthen the interest of musical and/or rhythmical intervention techniques aiming to overcome deficits in working memory. The research of this thesis offers new perspectives for studying (1) age-related impairments of maintenance in working memory in aging and (2) the beneficial effect of the presence of a temporally regular structure on neural oscillations duringmaintenance in working memory. In a long-term perspective, electrophysiology could be helpful provide a better understanding of the impact of these techniques on working memory functioning

The textbook contains material corresponding to the course of lectures on atmospheric chemistry prepared for students studying meteorology and climatology. The basic concepts of atmospheric chemistry are given, its gaseous components, as well as aerosols and chemical processes related to their life cycles, which are important from the point of view of the formation of the radiation, temperature and dynamic regime of the atmosphere, as well as its pollution, are considered. The main regularities of the transport of impurities in the atmosphere and the role of processes of different spatial and temporal scales in this process are presented. The concept of approaches of varying degrees of complexity used to model the transport of matter in the atmosphere, taking into account its chemical transformations, is presented. The processes in the gaseous and liquid phases that affect the chemical composition and acidity of clouds and precipitation are described. Modern methods of using information about the concentration and state of chemical compounds, including their radioactive and stable isotopes, to obtain information about the meteorological regime of the atmosphere in the present and past are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the field of training "Hydrometeorology".

This chapter provides insights into often-observed temporal regularities of different types of crime. It begins by briefly appraising relevant theories that explain variations in time incidence. It then discusses methodological issues that are unique to temporal analysis. The bulk of the next section presents temporal patterns from four years of crime data recorded by West Yorkshire Police, UK. Several units of analysis are considered: years, months, weeks, and days, and a medley of theories are used to suggest putative explanations for the observed patterns. It focuses first on crimes committed against property (predominantly theft and damage offenses) before considering crimes committed against people and, finally, Internet-enabled crimes against both people and their property. The intention here is to illustrate a variety of empirical regularities for different crime types, and to posit plausible explanations for those patterns.

This chapter illustrates mythic and ritual productions of time. Ritual produces regularities that are coordinated by clocks and calendars. Two basic ways of producing religious time, ancestral and mythic, represent different constructions of temporal continuity. Ancestral time, relying on memory, establishes continuity between human generations. Mythic time, transmitted in narratives of origin and destiny, establishes continuity through underlying moral, legal, or forensic relations between actions and consequences. While establishing temporal continuity, mythic time can also signal temporal ruptures in a past crisis, a present conflict, or a future apocalypse. Ritual practices and mythic narratives generate religious time, but religious timing is also crucial in other spheres of human activity, such as politics, economics, and aesthetics. Religious time, therefore, is not only or merely religious. With its regularities and regulations, its ancestral and mythic constructions of continuity, religious time is also embedded in the aesthetics, economics, and politics of time.

The theory of mental models accounts for the meanings of causal relations in daily life. They refer to seven temporally-ordered deterministic relations between possibilities, which include causes, prevents, and enables. Various factors—forces, mechanisms, interventions—can enter into the interpretation of causal assertions, but they are not part of their core meanings. Mental models represent only salient possibilities, and so they are identical for causes and enables, which may explain failures to distinguish between their meanings. Yet, reasoners deduce different conclusions from them, and distinguish between them in scenarios, such as those in which one event enables a cause to have its effect. Neither causation itself nor the distinction between causes and enables can be captured in the pure probability calculus. Statistical regularities, however, often underlie the induction of causal relations. The chapter shows how models help to resolve inconsistent causal scenarios and to reverse engineer electrical circuits.

The pattern and historical process of early village development at Crystal River are contextualized with regard to regularities that might be typical of this transition on the Gulf Coast, focusing particularly on a handful of sites where archaeological investigations provide sufficient spatial and temporal control to reconstruct the lived experience of early village formation. These case studies permit the identification of eight postulates that can be evaluated for broader applicability to complex hunter-gatherer-fisher coalescent societies in other areas of the world.

Reviewing theoretical approaches to religious time, this chapter illustrates mythic and ritual productions of time with examples from India and Africa. Classic theories of religious time emphasize either subjective experience, social cohesion, or sacred renewal. Ritual produces regularities—simultaneous, sequential, and hierarchical—that are coordinated by clocks and calendars. Two basic ways of producing religious time, ancestral and mythic, represent different constructions of temporal continuity. Ancestral time, relying on memory, establishes continuity between human generations of ancestors and offspring. Mythic time, transmitted in narratives of origin and destiny, establishes continuity through underlying moral, legal, or forensic relations between actions and consequences. While establishing temporal continuity, mythic time can also signal temporal ruptures in a past crisis, a present conflict, or a future apocalypse. Ritual practices and mythic narratives generate religious time, but religious timing is also crucial in other spheres of human activity, such as politics, economics, and aesthetics.

Predicting anomalies (e.g., blocked driveway and vehicle collisions) in urban space plays an important role in assisting governments and communities for building smart city applications, ranging from intelligent transportation to public safety. However, predicting urban anomalies is not trivial due to the following two factors: i) The sequential transition regularities of anomaly occurrences is complex, which exhibit with high-order and dynamic correlations. ii) The Interactions between region, time and anomaly category is multi-dimensional in real-world urban anomaly forecasting scenario. How to fuse multiple relations from spatial, temporal and categorical dimensions in the predictive framework remains a significant challenge. To address these two challenges, we propose a Cross-Interaction Hierarchical Attention network model (CHAT) which uncovers the dynamic occurrence patterns of time-stamped urban anomaly data. Our CHAT framework could automatically capture the relevance of past anomaly occurrences across different time steps, and discriminates which types of cross-modal interactions are more important for making future predictions. Experiment results demonstrate the superiority of CHAT framework over state-of-the-art baselines.

Three alternative sonifications of proteomic data distributions were compared as a means to indicate the neuropathology associated with Amyotrophic Lateral Sclerosis (ALS) via auditory display (through exploration of the differentiation of induced pluripotent stem cell derived neurons). Pure visual displays of proteomic data often result in ”visual overload” such that detailed or subtle data important to describe ALS neurodegradation may be glossed over, and so three competing approaches to the sonification of proteomic data were designed to capitalize upon human auditory capacities that complement the visual capacities engaged by more conventional graphic representations. The auditory displays resulting from hypothesis-driven design of three alternative sonifications were evaluated by naïve listeners, who were instructed to listen for differences between the sonifications produce from proteomic data associated with three different types of cells. One of the sonifications was based upon the hypothesis that auditory sensitivity to regularities and irregularities in spatio-temporal patterns in the data could be heard through spatial distribution of sonification components. The design of a second sonification was based upon the hypothesis that variation in timbral components might create a distinguishable sound for each of three types of cells. A third sonification was based upon the hypothesis that redundant variation in both spatial and timbral components would be even more powerful as a means for identifying spatio-temporal patterns in the dynamic, multidimensional data generated in current proteomic studies of ALS.