Nonlinear Dynamics Psychology and Life Sciences最新文献

{"title":"Investigating the Physiological Role of Fractal Pupil Oscillations.","authors":"P Moon, M S Fairbanks, J Schirillo, R P Taylor","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Fractals are formed by patterns that repeat across multiple size scales. They are found in natural structures (for example, trees, clouds, and mountains) and have also been generated by artists and mathematicians. Previously, the authors have shown that pupil size oscillates over time in a fractal manner when people view mathematically-generated fractal images. However, it was unclear if these fractal oscillations were induced by fractal variations in luminance as the eye scanned the fractal images or if these oscillations were instead a signature of a more general physiological response to viewing fractal patterns. In particular, pupil size is a well-established measure of relaxation, and previous skin conductance and EEG measurements have shown that specific fractal images induce relaxation. Here, we expand on the original study by including a larger range of types of viewed images, including distorted fractal images, non-fractal images, and uniform grayscale images. We show that fractal pupil oscillations are not limited to images displaying fractal luminance variations. We observe small changes in the oscillations' fractal dimension when the fractal dimension of the image is varied and identify a relationship between these two fractal dimensions and pupil size that is consistent with the oscillations serving as a novel indicator of viewer relaxation.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"30 2","pages":"227-253"},"PeriodicalIF":0.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147582742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State Space Theory as a Unifying Framework for Consciousness.","authors":"Vikas N O'Reilly-Shah","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Consciousness science has generated diverse theoretical frameworks, each offering insights into different aspects of conscious experience. However, this diversity has created a fractured landscape: theories operate at different explanatory levels, and a principled account of how conscious phenomena arise from specific neural computations remains largely absent. This work argues that State Space Theory (SST) can serve as a unifying mechanistic framework for consciousness science. SST proposes that consciousness arises from hierarchical delay coordinate embedding (DCE) - the reconstruction of dynamical system structure from time-delayed signals - implemented through recurrent cortical circuits ('DCE engines'), with gain modulation determining which reconstructions achieve system-wide influence. SST identifies these dynamics with consciousness itself, not merely as correlates. We draw on recent empirical and theoretical work to demonstrate the feasibility of this proposal, including empirical demonstrations that recurrent networks learn via embedding and mathematical results linking recurrent dynamics to embedding theory. We identify how major cognitive theories map onto this architecture mechanistically: parallel DCE engines correspond to Dennett's competing \"drafts,\" global broadcasting reflects gain-amplified propagation, recurrent processing enables the temporal integration DCE requires, and the attention schema emerges as a higher-order reconstruction of gain modulation dynamics. SST's fundamentally process-based character provides immunity to the unfolding argument and resolves the temporal paradox facing causal structure theories. The framework generates a number of falsifiable predictions related to topological structure of perceptual dynamics, temporal vulnerability windows, and selective disruption of recurrent timing. SST thus offers a computational foundation for consciousness research that grounds existing theories mechanistically while generating empirical commitments.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"30 2","pages":"185-226"},"PeriodicalIF":0.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147582781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stability in a Two-Strain Dengue Model with a Constant Recruitment.","authors":"Joanna RencÅ Awowicz, Marcin ChoiÅ Ski, Urszula Skwara","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In this study, we examine a two-strain dengue model that captures the interactions between human and mosquito populations. The proposed model incorporates the possibility of reinfection with a different strain and vertical transmission of the virus from adult mosquitoes to their offspring. We assume that the recruitment rate for susceptible larval mosquitoes is constant, which allows us to show the local stability of the disease-free equilibrium, the existence and local stability of endemic equilibrium in the case of one strain as well as the existence of two-strain stationary states. What is important, these results are obtained despite the non-constant size of mosquito population. To support our findings, we present numerical simulations with realistic dengue parameters that reflect biological phenomena.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"30 2","pages":"155-184"},"PeriodicalIF":0.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147582772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interlocking Director Networks and Systemic Risk in Financial Institutions.","authors":"Kaiwei Jia, Xintian Li","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The study investigates how interlocking director networks influence systemic risk in financial institutions. Drawing on social network theory and resource dependence theory, using a sample of 129 A-share listed financial institutions in China from 2009 to 2023, we find that interlocking director networks significantly amplify systemic risk through two distinct mechanisms: (a) increasing individual institutions' risk exposure through information transmission, and (b) promoting governance convergence that spreads negative externalities, ultimately raising stock price synchronicity and contributing to systemic risk escalation. Further analysis reveals that strengthened internal and external governance mitigates this effect. By examining the underlying mechanisms, we aim to provide regulatory insights for mitigating cross-institutional risk transmission and improving governance practices.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"30 2","pages":"255-297"},"PeriodicalIF":0.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147582721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bio-behavioral Team Dynamics Measurement System: Multimodal Sensing, Dynamical Systems Modeling, and Machine Learning Pipelines to Predict and Characterize Team Performance.","authors":"Garima Arya Yadav, Bethany K Bracken, Nancy J Cooke, Phillip Desrochers, Jamie C Gorman, David A P Grimm, Lixiao Huang, Molly Kilcullen, Mengyao Li, Emanuel Rojas, Michael Rosen, Matthew J Scalia, Aaron Winder, Xiaoyun Yin, Elmira Zahmat Doost, Shiwen Zhou","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The DARPA OP TEMPO program seeks to accelerate warfighter readiness by supplying instructors with objective, automatic assessments of team performance during simulation training. To that end, we created the Bio-behavioral Team Dynamics Measurement System (BioTDMS), a multimodal sensing and analytics pipeline that discovers bio-behavioral 'signatures' emanating from within the human body and through team-member interactions that predict team performance. BioTDMS employs a layered symbolic dynamics model that converts time-aligned neural, cardio-respiratory, eye tracking, and verbal data, collected using a multimodal sensor suite. Moving-window entropy and mutual information computed across the symbolic sensor space yield real-time metrics that quantify team adaptability following perturbation (e.g., 'training injects') and distribution of team members' influence across biological and behavioral subsystems. These features feed a multitask, multi-kernel learning engine that refines performance prediction while preserving explainability through team construct mapping and a command-line user interface. We present preliminary results from field testing a full physical and computational implementation of BioTDMS during Fire Support Team (FiST) training exercises at the U.S. Marine Corps Air-Ground Combat Center, Twentynine Palms, CA. An onsite team instrumented five-person FiST crews with multimodal sensor suites. Sensor data were processed by BioTDMS for real-time and post hoc analytics. BioTDMS currently accounts for 90â¯% of variance in a subjective team perform-ance assessment made by instructors, with improvements expected upon further refinements of BioTDMS modeling components. These findings demonstrate BioTDMS's potential as an operational tool for automatic, objective team assessments. Future assessments within air combat teams, including configura-tions with human-autonomy teaming, will evaluate the generalizability of BioTDMS.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"29 4","pages":"529-552"},"PeriodicalIF":0.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145337761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Body Weight: The Influence of Artificial Load on Lower-Limb Joint-Specific Landing Kinematics and Coordination Dynamics.","authors":"Dominic Willoughby, Jeffrey A Turner, Darin A Padua, Adam W Kiefer","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Effective motor coordination is essential for adaptive athletic performance, including musculoskeletal injury prevention, particularly in high impact activities. Understanding how the lower extremities adapt to added constraints, such as increased load, can provide valuable insights into the resilience of movement patterns. This study examined the influence of added load on intralimb coordination during a drop-vertical jump (DVJ). Twenty-six participants (14 female, age = 23.10 +/- 3.97 years, 76.81 +/- 18.73kg) performed 5 body weight DVJs and 5 with an additional 25% body weight using a weighted vest. 3D joint kinematics were recorded using OpenCap markerless motion capture (OpenCap, Menlo Park, CA). Linear measures were calculated for the knee and hip, while nonlinear cross recurrence quantification analysis indexed intralimb coordination between the knee and hip joints. Alpha level was set a priori at α=.05. Paired-sample t-tests revealed smaller peak knee flexion (p=.013) and decreased total range of motion in both the hip and knee (p=.014 and .013, respectively) in the +25% body weight condition. Additionally, recurrence rate (p=.036), determinism (p=.046), adjusted mean line (p=.023), and adjusted trapping time (p=.011) were all lower in the +25% body weight condition. These results indicate that weight-based constraints lead to stiffer landing mechanics and noisier, less tightly coupled intralimb coordination. These findings highlight the need to consider both the landing mechanics and coordination dynamics when considering the implementation of movement assessments for athletic performance and injury prevention under increased load conditions.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"29 4","pages":"477-496"},"PeriodicalIF":0.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145337760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Catastrophe Modelling for Time Series of Reported Cases of COVID-19: Workload Effects in the Health Care System.","authors":"Stephen J Guastello","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The COVID-19 pandemic exhibited some interesting temporal dynamics that were not accounted for by the traditional susceptible-infectious-recovered (SIR) family of epidemic time series models. The recorded number of positive tests increased and declined in waves from March 2020 to October 2021. Additional variability appeared around the peak of the waves. The present study examined the time series of positive medical tests reported by the public health system for one U.S. State. The wave patterns were consistent with the probability density function associated with the swallowtail catastrophe model. The excess variability was hypothesized to be indicative of workload stress in the health care system. The analysis of residuals from the swallowtail model was consistent with the probability density function of the cusp catastrophe model, which is known as a viable model for changes in system performance under conditions of changing workload. The two functions together accounted for 96% of the variance in daily positive test reports. A chaotic model was also tested as an alternative to the cusp. Although it contained some informative dynamics, it was not as accurate as the cusp interpretation. Implications for modeling and forecasting future epidemics are discussed.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"29 4","pages":"453-475"},"PeriodicalIF":0.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145337762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the Role of Autonomic Synchrony in the Swallowtail Catastrophe Model of Leadership Emergence.","authors":"Stephen J Guastello, Nicholas R Peters, Anthony F Peressini","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This study investigates the relationship between two phenomena that can emerge simultaneously in group interaction: autonomic synchrony and the emergence of leadership roles among team members. It was previously shown that the probability distributions of the two processes are both phase shifts characterized by the swallowtail catastrophe distribution. The objective of the present study was to examine the role of team autonomic synchrony as one of the three control parameters in the leadership emergence model. Research participants were 136 undergraduates who were organized into teams of three to five members playing the computer-game Counter-Strike while wearing GSR sensors. After approximately two hours of interaction, team members rated each other on leadership behaviors. Autonomic synchrony was analyzed as a driver-empath process that produces a group-level coefficient of synchrony (SE) from dyadic interactions from all possible dyadic interactions. The model was built in three stages: (a) replicate a model obtained from a similar team effort involving dynamic decisions, (b) test new variables as specific control parameters, and (c) test synchrony metrics for their best fit as one of the three control parameters. Results showed that both synchrony metrics were best understood as bifurcation variables that brought individuals who were already in the zone of potential leaders into primary or secondary roles. Prior gaming experience and SE Variability each played the role of a bias variable that distinguished between primary and secondary leaders. SE Variability also pre-empted team performance as a control variable.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"29 4","pages":"497-528"},"PeriodicalIF":0.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145337763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and Synthesis in Information Processing and Knowledge Creation.","authors":"Leopoldo Trieste, Giuseppe Turchetti","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This paper investigates the fate of original information after it is synthesized into knowledge, focusing on whether it becomes entangled within the integrated knowledge or if it is retained as isolated units in long-term memory. We explore two possibilities: either synthesized knowledge removes original information from memory, or both integrated and insulated information are stored once the information becomes part of knowledge. To address these questions, we simulate problem-solving processes over time. The simulation reveals how, once information is integrated into knowledge, it is removed as an insulated piece of information in the long-run memory. The process also shows a dynamic interplay between the creation and fragmentation of knowledge induced by synthetic and analytical skills. Furthermore, we examine whether the analytical-synthetic (A-S) process, as an autonomous system, tends to diverge or converge toward a steady state. We identify a stable stationary point in the process of knowledge creation and fragmentation. We also discuss how novelty can emerge exogenously (through errors) or endogenously and how it oscillates within the (A-S) process when heterogeneous information and knowledge are considered. Finally, we identify a chaotic transition in the way knowledge and theories compensate for reduced information.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"29 3","pages":"347-378"},"PeriodicalIF":0.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do Seasonal Variations in Nature's Fractal Scenery Influence Mood?","authors":"Richard P Taylor, Richard York","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>We propose the novel hypothesis that Seasonal Affective Disorder (SAD), and seasonal mood variation more generally, may be influenced in part by how seasonal changes influence people's exposure to fractals in their environments - for example, due to changes in vegetation and cloud cover. This general hypothesis implies that seasonal mood variation may occur not only in high latitudes but also in tropical areas where wet-dry seasons alter the fractal character of the environment. Based on our general hypothesis, we develop a series of specific hypotheses about where seasonal mood variation may be most prevalent. We also discuss potential reasons for variation in mood across individuals and propose testable treatment options for those experiencing SAD.</p>","PeriodicalId":46218,"journal":{"name":"Nonlinear Dynamics Psychology and Life Sciences","volume":"29 3","pages":"379-394"},"PeriodicalIF":0.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}