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The purpose of this paper is to outline an integrative, high-level, neurocomputational theory of brain function based on temporal codes, neural timing nets, and active regeneration of temporal patterns of spikes within recurrent neural circuits that provides a time-domain alternative to connectionist approaches.

This conceptual-theoretical paper draws from cybernetics, theoretical biology, neurophysiology, integrative and computational neuroscience, psychology, and consciousness studies.

The high-level functional organization of the brain involves adaptive cybernetic, goal-seeking, switching, and steering mechanisms embedded in percept-action-environment loops. The cerebral cortex is conceived as a network of reciprocally connected, re-entrant loops within which circulate neuronal signals that build up, decay, and/or actively regenerate. The basic signals themselves are temporal patterns of spikes (temporal codes), held in the spike correlation mass-statistics of both local and global neuronal ensembles. Complex temporal codes afford multidimensional vectorial representations, multiplexing of multiple signals in spike trains, broadcast strategies of neural coordination, and mutually reinforcing, autopoiesis-like dynamics. Our working hypothesis is that complex temporal codes form multidimensional vectorial representations that interact with each other such that a few basic processes and operations may account for the vast majority of both low- and high-level neural informational functions. These operational primitives include mutual amplification/inhibition of temporal pattern vectors, extraction of common signal dimensions, formation of neural assemblies that generate new temporal pattern primitive “tags” from meaningful, recurring combinations of features (perceptual symbols), active regeneration of temporal patterns, content-addressable temporal pattern memory, and long-term storage and retrieval of temporal patterns via a common synaptic and/or molecular mechanism. The result is a relatively simplified, signal-centric view of the brain that utilizes universal coding schemes and pattern-resonance processing operations. In neurophenomenal terms, waking consciousness requires regeneration and build up of temporal pattern signals in global loops, whose form determines the contents of conscious experience at any moment.

Understanding how brains work as informational engines has manifold long-reaching practical implications for design of autonomous, adaptive robotic systems. By proposing how new concepts might arise in brains, the theory bears potential implications for constructivist theories of mind, i.e. how observer-actors interacting with one another can self-organize and complexify.

The theory is highly original and heterodox in its neural coding and neurocomputational assumptions. By providing a possible alternative to standard connectionist theory of brain function, it expands the scope of thinking about how brains might work as informational systems.

We argue that our understanding of how institutions matter has been undermined by a piecemeal approach to temporality in institutional analyses. This paper addresses this shortcoming in the literature. We bring temporality to the fore by conceptualizing practices, which constitute institutions, as understood, situated, and coordinated in time by temporal structures. We elaborate an integrated framework of temporal structures that consist of three types: temporal patterns, temporal conceptions, and temporal orientations – and outline how each type contributes to the reproduction of practices. We discuss the implications of this framework for sustainability initiatives and conclude by suggesting future avenues of research on the temporal foundations of institutions.

Investigating the day of week and hour of day temporal patterns of crime typically show that (late) nights and weekends are the prime time for criminal activity. Though instructive, mental-health-related calls for service are a significant component of police service to the community that have not been a part of this research. The purpose of this paper is to analyze calls for police service that relate to mental health, using intimate partner/domestic related calls for police service for context.

Approximately 20,000 mental health related and 20,000 intimate partner/domestic related calls for police service are analyzed. Intra-week and intra-day temporal patterns are analyzed using circular statistics.

Mental-health-related calls for police service have a distinct temporal pattern for both days of the week and hours of the day. Specifically, these calls for police service peak during the middle of the week and in the mid-afternoon.

This is the first analysis regarding the temporal patterns of police calls for service for mental health-related calls. The results have implications for police resourcing and scheduling, especially in the context of special teams for addressing mental health-related calls for police service.

Online learning is well-known by its flexibility of learning anytime and anywhere. However, how behavioral patterns tied to learning anytime and anywhere influence learning outcomes are still unknown.

This study proposed concepts of time and location entropy to depict students’ spatial-temporal patterns. A total of 5,221 students with 1,797,677 logs, including 485 on-the-job students and 4,736 full-time students, were analyzed to depict their spatial-temporal learning patterns, including the relationships between identified patterns and students’ learning performance.

Analysis results indicate on-the-job students took more advantage of anytime, anywhere than full-time students. Students with a higher tendency for learning anytime and a lower level of learning anywhere were more likely to have better outcomes. Gender did not show consistent findings on students’ spatial-temporal patterns, but partial findings could be supported by evidence in neural science or by cultural and geographical differences.

A more accurate approach for categorizing position and location might be considered. Some findings need more studies for further validation. Finally, future research can consider connections between other well-known performance predictors (such as financial situation, motivation, personality and major) and the type of learning patterns.

The findings gained from this study can help improve the understandings of students’ learning behavioral patterns and design as well as implement better online education programs.

This study proposed concepts of time and location entropy to identify successful spatial-temporal patterns of on-the-job and full-time students.

This paper aims to analyse how the temporal dimension is conceptualised in studies of the internationalisation process of firms and its implications. Theoretical models such as U-Model and INV explain the process of internationalisation as dynamic; nonetheless, time is approached as an underlying aspect of the process. In this essay, time is brought to the spotlight since, despite its strategic relevance, it has been treated implicitly in studies of the internationalisation processes, except in those that address the speed of internationalisation.

Based on a critical reassessment of the academic literature, the authors present theoretical arguments and highlight elements to be considered in the analysis of the temporal dimension throughout the internationalisation process of firms.

This essay focuses on expanding the comprehension of temporality in the internationalisation process, that underlies periods of changes, implied also in periods of stability. The paper discusses time dimension implications during the internationalisation process and reveals that there is an interaction between temporal verticality (context/events), subjective dimension of time (perception and interpretation of time) and objective dimension of time (stability and changes). Therefore, it sustains that these interactions compress past, present and future actions in the internationalisation process.

Because of the chosen research approach, this essay did not empirically apply the theoretical model and propositions. Therefore, future studies may empirically apply the propositions and use the temporal lens to look deeper at the temporality of internationalisation process and shed further light on the mechanisms that interlink the pre-and post-entry phases.

The argument helps entrepreneurs understand that actions throughout the internationalisation process are also influenced by the experience of time and not only governed by rational matters. Changes in the context can alter the perception of present time as being restricted, and in turn, may alter the flux of future internationalisation actions. However, if actions are conducted in a precipitated manner it can bring forth negative results for the firm. It is essential to recognise the importance of temporal verticality and subjective dimension of time as influencers of future actions of the objective dimension of time in the process of internationalisation.

While most research is restricted to understanding time as speed, this essay brings a theoretical model extending the knowledge of time in the literature of international business and international entrepreneurship, by including factors that imply temporality. By explaining the relationship between temporal aspects, it is argued that temporal verticality (events and context) influences temporal subjectivity (perception of the present and interpretation of the past) to direct future actions of the temporality of internationalisation (stability and changes).

The purpose of this paper is to identify, classify and analyse temporality in information systems development (ISD) literature.

The authors address the temporality and ISD research gap by using a framework – which classifies time into three categories: conceptions of time, mapping activities to time and actors relating to time. The authors conduct a systematic literature review which investigates time in ISD within the Senior Scholars' Basket, Information Technology & People (IT&P), and top two information systems conferences over the past 20 years. The search strategy resulted in 9,850 studies of which 47 were identified as primary papers.

The results reveal that ISD research is ill equipped for contemporary thinking around time. This systematic literature review (SLR) contributes to ISD by finding the following gaps in the literature: (1) clock time is dominant and all other types of time are under-researched; (2) contributions to mapping activities to time is lacking and existing studies focus on single ISD projects rather multiple complex ISD projects; (3) research on actors relating to time is lacking; (4) existing ISD studies which contribute to temporal characteristics are fragmented and lack integration with other categories of time and (5) ISD methodology papers lack contributions to temporal characteristics and fail to acknowledge and contribute to time as a multifaceted interrelated concept.

This work has developed the first SLR on temporality in ISD. This study provides a starting point for ISD researchers and ISD practitioners to test commonly held temporal assumptions of ISD researchers and practitioners.

To explain how genres structure temporal coordination in virtual teams over time.

The first year e‐mail archive of a small distributed software development start‐up was coded and analyzed and these primary data were complemented with interviews of the key participants and examination of notes from the weekly phone meetings.

In this paper, it is found that members of a small start‐up organization temporally coordinated their dispersed activities through everyday communicative practices, thus accomplishing both the distributed development of a software system and the creation of a robust virtual team. In particular, the LC members used three specific genres – status reports, bug/error notifications, and update notifications – and one genre system – phone meeting management – to coordinate their distributed software development over time.

The study confirms the various suggestions from prior virtual team research that structuring communication and work process is an important mechanism for the temporal coordination of dispersed activities. In particular, an attempt has been made to show that the notions of genre and genre system are particularly useful to make sense of and analyze how such structuring actually occurs over time.

In this paper, the research focus is shifted from how a given set of temporal coordination mechanisms affect team performance to how coordination mechanisms emerge, are stabilized, and adapted over time. It is also shown how the notion of genre may be used to shed light on the practices through which temporal coordination is accomplished in geographically distributed teams.

This study aims to investigate how the COVID-19 pandemic has impacted and changed Airbnb market in the Greater Melbourne area in terms of its temporal and spatial patterns and identify possible shifts in underlying trends in travel activities.

A panel data set of Airbnb listings in Melbourne is analysed to compare temporal patterns, spatial distribution and lengths of stay of Airbnb users before and after the COVID outbreak.

This study found that the COVID disruption did not fundamentally change the temporal cycle of the Airbnb market. Month-to-month fluctuations peaked at different levels from pre-pandemic times mainly because of lockdowns and other restrictive measures. The impact of COVID-19 disruptions on neighbourhood-level Airbnb revenues is associated with distance to CBD rather than number of COVID cases. Inner city suburbs suffered major loss during the pandemic, whereas outer suburbs gained popularity due to increased domestic travel and long stays. Long stays (28 days or more, as defined by Airbnb) were the fastest growing segment during the pandemic, which indicates the Airbnb market was adapting to increasing demand for purposes like remote working or lifestyle change. After easing of COVID-related restrictions, demand for short-term accommodation quickly recovered, but supply has not shown signs of strong recovery. Spatial distribution of post-pandemic supply recovery shows a similar spatial variation. Neighbourhoods in the inner city have not shown signs of significant recovery, whereas those in the middle and outer rings are either slowly recovering or approaching their pre-COVID levels.

The COVID-19 pandemic has significantly impacted short-term rental markets and in particular the Airbnb sector during the phase of its rapid development. This paper helps inform in- and post-pandemic housing policy, market opportunity and investment decision.

To the best of the authors’ knowledge, this is one of the first attempts to empirically examine both temporal and spatial patterns of the COVID-19 impact on Airbnb market in one of the most severely impacted major cities. It is one of the first attempts to identify shifts in underlying trends in travel based on Airbnb data.

The purpose of this paper is to identify salient topic categories and outline their evolution patterns and temporal trends in microblogs on a public health emergency across different stages. Comparisons were also examined to reveal the similarities and differences between those patterns and trends on microblog platforms of different languages and from different nations.

A total of 459,266 microblog entries about the Ebola outbreak in West Africa in 2014 on Twitter and Weibo were collected for nine months after the inception of the outbreak. Topics were detected by the latent Dirichlet allocation model and classified into several categories. The daily tweets were analyzed with the self-organizing map technique and labeled with the most salient topics. The investigated time span was divided into three stages, and the most salient topic categories were identified for each stage.

In total, 14 salient topic categories were identified in microblogs about the Ebola outbreak and were summarized as increasing, decreasing, fluctuating or ephemeral types. The topical evolution patterns of microblogs and temporal trends for topic categories vary on different microblog platforms. Twitter users were keen on the dynamics of the Ebola outbreak, such as status description, secondary events and so forth, while Weibo users focused on background knowledge of Ebola and precautions.

This study revealed evolution patterns and temporal trends of microblog topics on a public health emergency. The findings can help administrators of public health emergencies and microblog communities work together to better satisfy information needs and physical demands by the public when public health emergencies are in progress.

Nowadays computer and network intrusions have become more common and more complicated, challenging the intrusion detection systems. Also, network traffic has been constantly increasing. As a consequence, the amount of data to be processed by an intrusion detection system has been growing, making it difficult to efficiently detect intrusions online. Proposes an approach for continuous user authentication based on the user’s behaviour, aiming at development of an efficient and portable anomaly intrusion detection system. A prototype of a host‐based intrusion detection system was built. It detects masqueraders by comparing the current user behaviour with his/her stored behavioural model. The model itself is represented by a number of patterns that describe sequential and temporal behavioural regularities of the users. This paper also discusses implementation issues, describes the authors’ solutions, and provides performance results of the prototype.