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Even in our highly interconnected modern world, geographic factors play an important role in human social connections. Similarly, social relationships influence how and where we travel, and how we think about our spatial world. Here, we review the growing body of neuroscience research that is revealing multiple interactions between social and spatial processes in both humans and non-human animals. We review research on the cognitive and neural representation of spatial and social information, and highlight recent findings suggesting that underlying mechanisms might be common to both. We discuss how spatial factors can influence social behaviour, and how social concepts modify representations of space. In so doing, this review elucidates not only how neural representations of social and spatial information interact but also similarities in how the brain represents and operates on analogous information about its social and spatial surroundings. This article is part of the theme issue 'The spatial–social interface: a theoretical and empirical integration'. [ABSTRACT FROM AUTHOR]

The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall short of what is required to enable the subsequent learning stage. The students' cognitive map was displayed using cutting-edge cognitive graph technology to address the aforementioned problems, and the reasoning rules were created using the Dual Process Theory and Meaningful Learning Theory. The degree of memory retention in students was calculated using the universal forgetting curve proposed by Ebbinghaus. To improve semantic information, multimodal data were coupled with knowledge graph. Finally, a cognitive graph integrated into the learning path recommendation system was developed. Comparative tests were conducted to verify the system's efficacy. The experimental group outperformed the control group with an average score of 77.286. The results of the experiment show that the experimental group using the CGLPRS has significantly higher levels of knowledge use and mastery than the control group, showing that the use of cognitive graph and accounting for forgetting can significantly improve conceptual understanding and overall learning satisfaction. [ABSTRACT FROM AUTHOR]

Our study sought to understand how individuals think about their home location and county, including their geospatial awareness, and how they conceive of risk from a tornado geospatially. We conducted interviews and a sketch mapping activity with sixty-five individuals from Mississippi and Alabama. Our results indicated that participants could name and correctly locate only a few neighboring counties and that there was a difference of 4.7 miles on average between their perceived home location and their actual address. Participants labeled on average 9.1 features. Some maps displayed common heuristics or biases, but none was present in a majority of the sketch maps. Regarding geospatial risk personalization, participants’ drawings indicated that many inferred a tornado approaching from the southwest, and that they would take protective action when a tornado was within an average of fifteen miles of their home. Human landmarks and point locations were the features most frequently mentioned that would let participants know a tornado was coming close and participants estimated these features were on average 9.7 miles. Both distances showed a great deal of variation. The results have implications not only for tornado warning communication but also for understanding how individuals might think about a “close call.” [ABSTRACT FROM AUTHOR]

Bees are among the master navigators of the insect world. Despite impressive advances in robot navigation research, the performance of these insects is still unrivaled by any artificial systemin terms of training efficiency and generalization capabilities, particularly considering the limited computational capacity. On the other hand, computational principles underlying these extraordinary feats are still only partially understood. The theoretical framework of reinforcement learning (RL) provides an ideal focal point to bring the two fields together for mutual benefit. In particular, we analyze and compare representations of space in robot and insect navigation models through the lens of RL, as the efficiency of insect navigation is likely rooted in an efficient and robust internal representation, linking retinotopic (egocentric) visual input with the geometry of the environment. While RL has long been at the core of robot navigation research, current computational theories of insect navigation are not commonly formulated within this framework, but largely as an associative learning process implemented in the insect brain, especially in the mushroom body (MB). Here we propose specific hypothetical components of the MB circuit that would enable the implementation of a certain class of relatively simple RL algorithms, capable of integrating distinct components of a navigation task, reminiscent of hierarchical RL models used in robot navigation.We discuss how currentmodels of insect and robot navigation are exploring representations beyond classical, complete map-like representations, with spatial information being embedded in the respective latent representations to varying degrees. [ABSTRACT FROM AUTHOR]

This study delves into the complex decision-making processes of sexual violence survivors regarding public disclosure of their experiences. By constructing a cognitive map from interviews with ten media consultants, this research highlights that survivors often prefer seeking justice through social media rather than legal channels. This study was conducted in Israel, and it underscores the importance survivors place on the disclosure process itself, valuing voice and respect over the outcome. This research, part of a larger project that includes interviews with victims, focuses on the choice between social media and institutional channels, analyzing cognitive processes through the lens of media consultants. While the constructed cognitive map provides a clear framework for understanding the decisions made by survivors of sexual violence, it simplifies complex emotional and psychological factors. Future research may enhance this map by incorporating a deeper analysis of survivors' internal conflicts and the interplay between emotional coping mechanisms and external pressures to disclose their experiences. From background conversations with survivors, it was understood that two main factors influence their decision: the process versus the outcome and whether to turn to social media or institutional channels. This nuanced approach provides valuable insights into the specific choices made by survivors when determining where to disclose their assaults. By designing this cognitive map, this study helps understand the needs and priorities of the survivors, such as the importance of voice, respect, and the nature of the disclosure process, and aims to aid future research and decision makers in better understanding and supporting the decision-making processes of sexual violence survivor. [ABSTRACT FROM AUTHOR]

Copyright of Psychological Science is the property of Psychological Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Spatial ability is not just a skill but a crucial element for architecture and interior design students, significantly impacting their proficiency in tasks involving 2D drawings, 3D components, and artistic expression. Despite extensive research in this area, a gap remains in the understanding of how to effectively cultivate spatial ability through educational interventions. This study, with its unique approach of identifying key influencing factors and their interrelationships within the fuzzy decision-making laboratory analysis method (Fuzzy-DEMATEL) and the interpretative structural model (ISM), fills this gap. The method visualizes cause-and-effect relationships within a structural model and captures the interdependencies between influencing factors. In a collaborative effort between nine universities in 2023–2024, 17 experts selected through purposeful sampling contributed to the development of a comprehensive list of potential influencing factors. After refinement through filtering, comparison with the existing literature, and expert consensus, seven influencing factors of spatial ability for architecture and interior design students from personal traits and STEAM disciplines were identified, which are sketching and hand drawing skills, mathematical skills, video game practice, descriptive geometry skills, augmented reality practice, spatial talk, and gesturing while talking. Sketching and hand drawing skills, mathematical skills, and video game practice come under cause factors of spatial ability, whereas the rest are effect factors. Proceeding with ISM analysis revealed that sketching and hand drawing skills and mathematical skills are located in the input layer and have a continuous impact on spatial ability. Descriptive geometry skills lie in the transition layer, which are considered as deep influencing factors, the rest of the factors lie in the effect layer. This study delves into the theoretical and practical implications of these findings, offering valuable insights for educational policy and practice. [ABSTRACT FROM AUTHOR]

Perceptual experience is self‐locating. This claim aligns with our intuitions and is the dominant view in philosophy. To defend the claim, some philosophers have advanced perspectival accounts and others have advanced agentive accounts. Here, I explore tensions between the two accounts and propose a novel, integrative account: the top‐down view, which defends that visual experience is self‐locating in virtue of cognitive maps that modulate visual processing in a top‐down fashion. I assess recent neuroscientific evidence of spatial modulation in the visual cortex and show how it turns existing notions of self‐location upside‐down, shifting the focus from bottom‐up to top‐down processes. [ABSTRACT FROM AUTHOR]

The word association test and cognitive mapping technique are among the research techniques widely used in the social sciences. This study aims to evaluate these two research techniques, which fall under the postpositivist approach to qualitative methods, through an empirical study. This study used the word association test and the cognitive mapping technique, respectively, to analyze the associations and cognitive maps of 130 undergraduate students. We subjected the data from the word association test to prototype and similarity analysis through IRAMUTEQ, and analyzed the cognitive maps obtained from the cognitive mapping process. The results from both techniques consistently highlight key locations such as dormitories, the beach, faculties, and the hospital. The word association test emphasized aspects like the size of the campus, Lake Van, social relations, and campusrelated issues. In contrast, the cognitive maps focused on different features, including campus roads, bus stops, the dining hall, the university entrance, and Alle Road. The results showed that the combination of these two techniques is extremely helpful in providing a holistic perspective of the research topic in relation to verbal and visual languages. We also observed that both techniques provide comprehensive information about cognition and affect, as well as direct or indirect cues of experience with the representation object. The word association test reveals how participants relate to the representation object and how they construct their understanding of it, while cognitive maps help us understand the prioritization of certain aspects of the representation object. [ABSTRACT FROM AUTHOR]

As an evolutionarily ancient sense, olfaction is key to learning where to find food, shelter, mates, and important landmarks in an animal's environment. Brain circuitry linking odor and navigation appears to be a well conserved multiregion system among mammals; the anterior olfactory nucleus, piriform cortex, entorhinal cortex, and hippocampus each represent different aspects of olfactory and spatial information. We review recent advances in our understanding of the neural circuits underlying odor-place associations, highlighting key choices of behavioral task design and neural circuit manipulations for investigating learning and memory. [ABSTRACT FROM AUTHOR]

Classic research has shown a division in the neuroanatomical structures that support flexible (e.g., short‐cutting) and habitual (e.g., familiar route following) navigational behavior, with hippocampal–caudate systems associated with the former and putamen systems with the latter. There is, however, disagreement about whether the neural structures involved in navigation process particular forms of spatial information, such as associations between constellations of cues forming a cognitive map, versus single landmark‐action associations, or alternatively, perform particular reinforcement learning algorithms that allow the use of different spatial strategies, so‐called model‐based (flexible) or model‐free (habitual) forms of learning. We sought to test these theories by asking participants (N = 24) to navigate within a virtual environment through a previously learned, 9‐junction route with distinctive landmarks at each junction while undergoing functional magnetic resonance imaging (fMRI). In a series of probe trials, we distinguished knowledge of individual landmark‐action associations along the route versus knowledge of the correct sequence of landmark‐action associations, either by having absent landmarks, or "out‐of‐sequence" landmarks. Under a map‐based perspective, sequence knowledge would not require hippocampal systems, because there are no constellations of cues available for cognitive map formation. Within a learning‐based model, however, responding based on knowledge of sequence would require hippocampal systems because prior context has to be utilized. We found that hippocampal–caudate systems were more active in probes requiring sequence knowledge, supporting the learning‐based model. However, we also found greater putamen activation in probes where navigation based purely on sequence memory could be planned, supporting models of putamen function that emphasize its role in action sequencing. [ABSTRACT FROM AUTHOR]

Spatial narratives are becoming increasingly significant in contextualizing geographical phenomena. Whereas many studies focus on spatial narratives of real spaces projected from the Earth's surface, this article examines the imaginary spaces in the narrative of Hollywood puzzle films, arguing that cognitive maps are more effective in understanding and navigating these spaces. Through an analysis of well-known puzzle films, the article demonstrates how cognitive maps can encode imaginary spaces, draw the audience's attention to key landmarks, and guide both the filmmaker and the audience through the film's narrative. Beyond films, this study underscores the potential of cognitive maps in decoding complex space–time relationships in real-world context. By bridging the gap between cinematic imagination and geographical exploration, this article aims not only to inspire filmmakers but also to encourage geographers, cartographers, and GIScientists to look beyond their own fields and draw inspiration from other areas, such as cinematography, to envision a terra incognita that extends beyond the real world. [ABSTRACT FROM AUTHOR]

Cognitive flexibility enables humans to voluntarily switch tasks. Task switching requires replacing the previously active task representation with a new one, an operation that typically results in a switch cost. Thus, understanding cognitive flexibility requires understanding how tasks are represented in the brain. We hypothesize that task representations are cognitive map-like, such that the magnitude of the difference between task representations reflects their conceptual differences: The greater the distinction between the two task representations, the more updating is required. This hypothesis predicts that switch costs should increase with between task dissimilarity. To test this hypothesis, we use an experimental design that parametrically manipulates the similarity between task rules. We observe that response time scales with the dissimilarity between the task rules. The findings shed light on the organizational principles of task representations and extend the conventional binary task-switch effect (task repeat vs. switch) to a theoretical framework with parametric task switches. Public Significance Statement: Understanding how humans flexibly switch between tasks requires understanding how tasks are represented in the brain. Based on recent advances showing that cognitive maps can represent abstract relationships, we hypothesize that task representations are like cognitive maps, such that conceptual differences between tasks are encoded as the distance between task representations: The greater the distinction between the two task representations, the greater the updating required when switching between the two tasks, leading to larger switch costs in performance. To test this hypothesis, we use a new experimental design to parametrically manipulate task dissimilarity. Supporting the hypothesis, we observe that the task rule switch costs scale with the dissimilarity between the task rules in the two experiments. The findings shed light on the organizational principles of task representations and extend the conventional binary task-switch effect (task repeat vs. switch) to parametric task switches. [ABSTRACT FROM AUTHOR]

The activity patterns of grid cells form distinctively regular triangular lattices over the explored spatial environment and are largely invariant to visual stimuli, animal movement, and environment geometry. These neurons present numerous fascinating challenges to the curious (neuro)scientist: What are the circuit mechanisms responsible for creating spatially periodic activity patterns from the monotonic input-output responses of single neurons? How and why does the brain encode a local, nonperiodic variable—the allocentric position of the animal—with a periodic, nonlocal code? And, are grid cells truly specialized for spatial computations? Otherwise, what is their role in general cognition more broadly? We review efforts in uncovering the mechanisms and functional properties of grid cells, highlighting recent progress in the experimental validation of mechanistic grid cell models, and discuss the coding properties and functional advantages of the grid code as suggested by continuous attractor network models of grid cells. [ABSTRACT FROM AUTHOR]

The phenomenon of dust in the western border of the country has increased in terms of continuity and concentration, disrupting the ecological potential of this region. In addition to affecting infrastructure and causing social problems, it also adversely affects people's health. To identify the factors affecting this phenomenon, the SODA approach was used as a simple technique with a cognitive mapping approach. Cognitive mapping can show the importance of a particular factor based on the values of all factors affecting a phenomenon. In this study, seven experts in the field of water resources were interviewed, and after reaching a consensus, nine factors were identified as the most effective in the occurrence of this phenomenon. The results of the analysis, using concepts related to graph theory, determined the relative activity (centrality) of nodes and the formation of a proximity matrix. This showed that the mismanagement of water resources, the lack of attention to watershed management in the region, and the unilateral development of Turkey in the area—including the construction of numerous dams upstream of the Tigris River—were identified as the most active nodes and factors. These two factors had the highest impact, with a relative weight of 0.015 in terms of prioritization. On the other hand, the analysis showed that the Iran-Iraq war and the security strategies of the Ba'athist regime in Iraq were identified as the factors with the least activity with a relative weight of 0.007 in the dust issue. Finally, this approach can lead to the extraction of practical and applied strategies to solve environmental problems such as dust. [ABSTRACT FROM AUTHOR]

Lynch's (1960) Theory of Imageability explores how individuals perceive and navigate urban environments, emphasizing the role of paths, edges, districts, nodes, and landmarks. This theory highlights the significance of these elements in shaping people's mental maps and enhancing their understanding and navigation of urban spaces. However, cultural tourism introduces complexities to Lynch's framework due to its unique motivations, interests, and behaviours. This article investigates the relationship between visitor mobility patterns and urban morphology in the context of two cultural destinations: Bilbao and San Sebastian. The study utilizes Network Analysis of visitors' GPS data to analyse the dynamics of visitor mobility within these urban environments. This data-driven approach facilitates a comprehensive understanding of how cultural destinations operate within their physical territories. Results reveal that both San Sebastian and Bilbao exhibit a distinct "D-shaped" mobility pattern, characterized by a clear and uncomplicated flow of movement. This finding aligns with Lynch's theory (1960), emphasizing the importance of simplicity and legibility in shaping visitors' cognitive maps and mental representations of the urban space. The concentration of cultural landmarks in the Old Town and the challenges of congestion and overtourism are brought to light through the network analysis of GPS data. The accompanying figures visually illustrate how the ease of navigation in these cities significantly contributes to the formation of visitors' cognitive maps. [ABSTRACT FROM AUTHOR]

Bees are among the master navigators of the insect world. Despite impressive advances in robot navigation research, the performance of these insects is still unrivaled by any artificial system in terms of training efficiency and generalization capabilities, particularly considering the limited computational capacity. On the other hand, computational principles underlying these extraordinary feats are still only partially understood. The theoretical framework of reinforcement learning (RL) provides an ideal focal point to bring the two fields together for mutual benefit. In particular, we analyze and compare representations of space in robot and insect navigation models through the lens of RL, as the efficiency of insect navigation is likely rooted in an efficient and robust internal representation, linking retinotopic (egocentric) visual input with the geometry of the environment. While RL has long been at the core of robot navigation research, current computational theories of insect navigation are not commonly formulated within this framework, but largely as an associative learning process implemented in the insect brain, especially in the mushroom body (MB). Here we propose specific hypothetical components of the MB circuit that would enable the implementation of a certain class of relatively simple RL algorithms, capable of integrating distinct components of a navigation task, reminiscent of hierarchical RL models used in robot navigation. We discuss how current models of insect and robot navigation are exploring representations beyond classical, complete map-like representations, with spatial information being embedded in the respective latent representations to varying degrees.

Abstract The empowerment of people is considered as one of the most effective approaches in national healthcare systems. Identifying the effective criteria for this empowerment approach can be useful for planning enhancements. Therefore, studying and researching different aspects of people empowerment, and identifying the various relationships among related factors are of great importance. In this study – after identifying and extracting the effective factors in empowering individuals/insured persons, and interviewing health insurance and healthcare experts through content analysis – a causal model examining variables and their impact intensity through cognitive mapping is designed and drawn up. In modeling the concept of empowerment, to cover the ambiguity of expert comments, a combination of the Z-number approach with cognitive mapping has been used. Results demonstrate how various factors relate to insured empowerment. According to the results of empowerment strategies, the insurance participation strategy with the highest central index was determined as the most effective strategy, and the appropriate component for individuals gained the highest score in the centrality index. The results of this article help a lot to policy making in medical insurance.

The article studies generally accepted estimation of software quality, which shows its compliance with users’ expectations. The research deals with investigation of software quality and requirements to it and focuses on the fact that software quality depends on its correspondence to GOST R ISO/MEK 25010-2015. It is proposed to use a common model of quality in order to estimate software by analyzing expert appraisals and their aggregation through the mathematic tool of cognitive maps. The use of cognitive maps gives an opportunity to estimate the quality of software product. At the same time we can get a possibility to identify controlled factors of software product quality, affecting which we can increase its target factor of quality. Findings of the research can be used in practice to develop and estimate software quality on different levels of difficulty and specialization.

This study aims to reveal the change in the research focus of studies related to cognitive mapping from the 1920s to the present day. Another objective of the study is to develop a theoretical framework related to cognitive spatial formation, which builds on secondary literature analysis and the focus areas of mental mapping. It does this in order to designate the structural framework of subsequent subject-specific, primarily EU-related cognitive spatial perception studies. The present investigation is based exclusively on secondary sources, the main aspect of which is the evaluation of behaviorist geography and the emergence of cognitive mapping in international and Hungarian research. In the selection of the literature, an important aspect was the exploration of the focus of research (conceptual and methodological issues) related to subjective spatial perception and its change over time. At the same time, it was important to investigate the role of cognitive mapping in social sciences, with a particular focus on social geography.

The hippocampus is one of the brain areas affected by autism spectrum disorder (ASD). Individuals with ASD typically have impairments in hippocampusdependent learning, memory, language ability, emotional regulation, and cognitive map creation. However, the pathological changes in the hippocampus that result in these cognitive deficits in ASD are not yet fully understood. In the present review, we will first summarize the hippocampal involvement in individuals with ASD. We will then provide an overview of hippocampal structural and functional abnormalities in genetic, environmentinduced, and idiopathic animal models of ASD. Finally, we will discuss some pharmacological and non-pharmacological interventions that show positive impacts on the structure and function of the hippocampus in animal models of ASD. A further comprehension of hippocampal aberrations in ASD might elucidate their influence on the manifestation of this developmental disorder and provide clues for forthcoming diagnostic and therapeutic innovation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Resources & Ecology is the property of Journal of Resources & Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Ernest Hemingway's A Moveable Feast (1964) contains an array of his memories of the time he spent in Paris in the first half of the 1920s. The work provides an ideal vehicle to explore the connection of spatiality to memory and text production along with how imagined geography relates to empirical geography. The essay deploys a theoretical apparatus relying on the works of Martin Heidegger, Henry Lefebvre, Edward Soja, Michel Foucault, Michel de Certeau, Guy Debord, Pierre Nora, and Walter Benjamin in its investigation of a psycho-geography composed by Hemingway. The essay aims to discuss how spatiality can contribute to the construction of personal history and in what way it can promote text production, and it will also explore the impact of space on the psychological and emotional condition of the individual. (AT) [ABSTRACT FROM AUTHOR]

Functional neuroimaging studies indicate that the human brain can represent concepts and their relational structure in memory using coding schemes typical of spatial navigation. However, whether we can read out the internal representational geometries of conceptual spaces solely from human behavior remains unclear. Here, we report that the relational structure between concepts in memory might be reflected in spontaneous eye movements during verbal fluency tasks: When we asked participants to randomly generate numbers, their eye movements correlated with distances along the left-to-right one-dimensional geometry of the number space (mental number line), while they scaled with distance along the ring-like two-dimensional geometry of the color space (color wheel) when they randomly generated color names. Moreover, when participants randomly produced animal names, eye movements correlated with low-dimensional similarity in word frequencies. These results suggest that the representational geometries used to internally organize conceptual spaces might be read out from gaze behavior. [ABSTRACT FROM AUTHOR]

Objectives: The development of high definition (HD) map is of paramount importance in advancing the digital infrastructure of transportation and serves as a fundamental component in creating the “data brain” of intelligent vehicles and smart cities. Furthermore, it promotes the growth of intelligent logistics networks and traffic safety risk monitoring systems. Methods: The existing HD map models are analyzed from the perspective of map information transmission models, and the concept of constructing HD map models based on map cognition mechanisms is introduced. It also provides an overview of domestic and international standards for HD map formats. Moreover, the principles to be followed in the compilation of HD map for intelligent driving in China are outlined. Additionally, key technologies involved in HD map production and updates are explored, with a particular focus on map collection, processing, and verification. The current application status of HD map is analyzed through the examination of examples such as vehicle planning and perception. Results: The development of HD map has made significant progress, but it also encounters difficulties and challenges. Existing HD map models tend to be complex and lack sufficient representation of dynamic elements, resulting in difficulties in maintaining real-time accuracy. Additionally, the production capacity of HD map remains insufficient to meet the demands of development, and challenges related to geographic information security and limited application depth persist. Conclusions: A concept of establishing a closed-loop architecture for HD map using cognitive models is introduced. It highlights the significance of ensuring data security and promoting intelligent verification of maps and emphasizes the extensive application prospects of high-precision maps. During the research process of HD map, it is crucial to collaboratively address the difficulties and challenges, which can promote HD map to better serve intelligent transportation and societal development. [ABSTRACT FROM AUTHOR]

The empowerment of people is considered as one of the most effective approaches in national healthcare systems. Identifying the effective criteria for this empowerment approach can be useful for planning enhancements. Therefore, studying and researching different aspects of people empowerment, and identifying the various relationships among related factors are of great importance. In this study – after identifying and extracting the effective factors in empowering individuals/insured persons, and interviewing health insurance and healthcare experts through content analysis – a causal model examining variables and their impact intensity through cognitive mapping is designed and drawn up. In modeling the concept of empowerment, to cover the ambiguity of expert comments, a combination of the Z-number approach with cognitive mapping has been used. Results demonstrate how various factors relate to insured empowerment. According to the results of empowerment strategies, the insurance participation strategy with the highest central index was determined as the most effective strategy, and the appropriate component for individuals gained the highest score in the centrality index. The results of this article help a lot to policy making in medical insurance. [ABSTRACT FROM AUTHOR]

We investigated the role of semantic similarities of place names in forming larger regions. The environment´s place names allowed two alternative semantic categorizations corresponding to two equally valid regionalizations. In a priming phase, participants were biased to one or the other categorization scheme. Region perception was assessed by having participants choose between two equidistant routes crossing different numbers of region boundaries. Participants selected routes with a lower number of region crossings according to the primed categorization in 61% of all cases. The results show that perceived semantic similarity of place names affects route choice and the formation of spatial regions. [ABSTRACT FROM AUTHOR]

We present computer simulations illustrating how the plastic integration of spatially stable inputs could contribute to the dynamic character of hippocampal spatial representations. In novel environments of slightly larger size than typical apparatus, the emergence of well-defined place fields in real place cells seems to rely on inputs from normally functioning grid cells. Theoretically, the grid-to-place transformation is possible if a place cell is able to respond selectively to a combination of suitably aligned grids. We previously identified the functional characteristics that allow a synaptic plasticity rule to accomplish this selection by synaptic competition during rat foraging behavior. Here, we show that the synaptic competition can outlast the formation of place fields, contributing to their spatial reorganization over time, when the model is run in larger environments and the topographical/modular organization of grid inputs is taken into account. Co-simulated cells that differ only by their randomly assigned grid inputs display different degrees and kinds of spatial reorganization—ranging from place-field remapping to more subtle in-field changes or lapses in firing. The model predicts a greater number of place fields and propensity for remapping in place cells recorded from more septal regions of the hippocampus and/or in larger environments, motivating future experimental standardization across studies and animal models. In sum, spontaneous remapping could arise from rapid synaptic learning involving inputs that are functionally homogeneous, spatially stable, and minimally stochastic. [ABSTRACT FROM AUTHOR]

The cognitive map, proposed by Tolman in the 1940s, is a hypothetical internal representation of space constructed by the brain to enable an animal to undertake flexible spatial behaviors such as navigation. The subsequent discovery of place cells in the hippocampus of rats suggested that such a map-like representation does exist, and also provided a tool with which to explore its properties. Single-neuron studies in rodents conducted in small singular spaces have suggested that the map is founded on a metric framework, preserving distances and directions in an abstract representational format. An open question is whether this metric structure pertains over extended, often complexly structured real-world space. The data reviewed here suggest that this is not the case. The emerging picture is that instead of being a single, unified construct, the map is a mosaic of fragments that are heterogeneous, variably metric, multiply scaled, and sometimes laid on top of each other. Important organizing factors within and between fragments include boundaries, context, compass direction, and gravity. The map functions not to provide a comprehensive and precise rendering of the environment but rather to support adaptive behavior, tailored to the species and situation. [ABSTRACT FROM AUTHOR]

Daily experiences often involve the processing of multiple sequences, yet storing them challenges the limited capacity of working memory (WM). To achieve efficient memory storage, relational structures shared by sequences would be leveraged to reorganize and compress information. Here, participants memorized a sequence of items with different colors and spatial locations and later reproduced the full color and location sequences one after another. Crucially, we manipulated the consistency between location and color sequence trajectories. First, sequences with consistent trajectories demonstrate improved memory performance and a trajectory correlation between reproduced color and location sequences. Second, sequences with consistent trajectories show neural reactivation of common trajectories, and display spontaneous replay of color sequences when recalling locations. Finally, neural reactivation correlates with WM behavior. Our findings suggest that a shared common structure is leveraged for the storage of multiple sequences through compressed encoding and neural replay, together facilitating efficient information organization in WM.

As an evolutionarily ancient sense, olfaction is key to learning where to find food, shelter, mates, and important landmarks in an animal’s environment. Brain circuitry linking odor and navigation appears to be a well conserved multi-region system among mammals; the anterior olfactory nucleus, piriform cortex, entorhinal cortex, and hippocampus each represent different aspects of olfactory and spatial information. We review recent advances in our understanding of the neural circuits underlying odor-place associations, highlighting key choices of behavioral task design and neural circuit manipulations for investigating learning and memory.

People form impressions about others during daily social encounters and infer personality traits from others' behaviors. Such trait inference is thought to rely on two universal dimensions: competence and warmth. These two dimensions can be used to construct a ‘social cognitive map’ organizing massive information obtained from social encounters efficiently. Originating from spatial cognition, the neural codes supporting the representation and navigation of spatial cognitive maps have been widely studied. Recent studies suggest similar neural mechanism subserves the map-like architecture in social cognition as well. Here we investigated how spatial codes operate beyond the physical environment and support the representation and navigation of social cognitive map. We designed a social value space defined by two dimensions of competence and warmth. Behaviorally, participants were able to navigate to a learned location from random starting locations in this abstract social space. At the neural level, we identified the representation of distance in the precuneus, fusiform gyrus, and middle occipital gyrus. We also found partial evidence of grid-like representation patterns in the medial prefrontal cortex and entorhinal cortex. Moreover, the intensity of grid-like response scaled with the performance of navigating in social space and social avoidance trait scores. Our findings suggest a neurocognitive mechanism by which social information can be organized into a structured representation, namely cognitive map and its relevance to social well-being.

Humans and other animals have a remarkable capacity to translate their position from one spatial frame of reference to another. The ability to seamlessly move between top-down and first-person views is important for navigation, memory formation, and other cognitive tasks. Evidence suggests that the medial temporal lobe and other cortical regions contribute to this function. To understand how a neural system might carry out these computations, we used variational autoencoders (VAEs) to reconstruct the first-person view from the top-down view of a robot simulation, and vice versa. Many latent variables in the VAEs had similar responses to those seen in neuron recordings, including location-specific activity, head direction tuning, and encoding of distance to local objects. Place-specific responses were prominent when reconstructing a first-person view from a top-down view, but head direction-specific responses were prominent when reconstructing a top-down view from a first-person view. In both cases, the model could recover from perturbations without retraining, but rather through remapping. These results could advance our understanding of how brain regions support viewpoint linkages and transformations.

The model-free algorithms of reinforcement learning (RL) have gained clout across disciplines, but so too have model-based alternatives. The present study emphasizes other dimensions of this model space in consideration of associative or discriminative generalization across states and actions. This generalized reinforcement learning (GRL) model, a frugal extension of RL, parsimoniously retains the single reward-prediction error (RPE), but the scope of learning goes beyond the experienced state and action. Instead, the generalized RPE is efficiently relayed for bidirectional counterfactual updating of value estimates for other representations. Aided by structural information but as an implicit rather than explicit cognitive map, GRL provided the most precise account of human behavior and individual differences in a reversal-learning task with hierarchical structure that encouraged inverse generalization across both states and actions. Reflecting inference that could be true, false (i.e., overgeneralization), or absent (i.e., undergeneralization), state generalization distinguished those who learned well more so than action generalization. With high-resolution high-field fMRI targeting the dopaminergic midbrain, the GRL models RPE signals (alongside value and decision signals) were localized within not only the striatum but also the substantia nigra and the ventral tegmental area, including specific effects of generalization that also extend to the hippocampus. Factoring in generalization as a multidimensional process in value-based learning, these findings shed light on complexities that, while challenging classic RL, can still be resolved within the bounds of its core computations.

Abstract Background Despite the demonstrated efficacy of psychotherapy, the precise mechanisms that drive therapeutic transformations have posed a challenge and still remain unresolved. Here, we suggest a potential solution to this problem by introducing a framework based on the concept of mental navigation. It refers to our ability to navigate our cognitive space of thoughts, ideas, concepts, and memories, similar to how we navigate physical space. We start by analyzing the neural, cognitive, and experiential constituents intrinsic to mental navigation. Subsequently, we posit that the metaphoric spatial language we employ to articulate introspective experiences (e.g., “unexplored territory” or “going in circles”) serves as a robust marker of mental navigation. Methods Using large text corpora, we compared the utilization of spatial language between transcripts of psychotherapy sessions (≈ 12 M. words), casual everyday conversations (≈ 12 M. words), and fictional dialogues in movies (≈ 14 M. words). We also examined 110 psychotherapy transcripts qualitatively to discern patterns and dynamics associated with mental navigation. Results We found a notable increase in the utilization of spatial metaphors during psychotherapy compared to casual everyday dialogues (U = 192.0, p = .001, d = 0.549) and fictional conversations (U = 211, p

This study delves into the complex decision-making processes of sexual violence survivors regarding public disclosure of their experiences. By constructing a cognitive map from interviews with ten media consultants, this research highlights that survivors often prefer seeking justice through social media rather than legal channels. This study was conducted in Israel, and it underscores the importance survivors place on the disclosure process itself, valuing voice and respect over the outcome. This research, part of a larger project that includes interviews with victims, focuses on the choice between social media and institutional channels, analyzing cognitive processes through the lens of media consultants. While the constructed cognitive map provides a clear framework for understanding the decisions made by survivors of sexual violence, it simplifies complex emotional and psychological factors. Future research may enhance this map by incorporating a deeper analysis of survivors’ internal conflicts and the interplay between emotional coping mechanisms and external pressures to disclose their experiences. From background conversations with survivors, it was understood that two main factors influence their decision: the process versus the outcome and whether to turn to social media or institutional channels. This nuanced approach provides valuable insights into the specific choices made by survivors when determining where to disclose their assaults. By designing this cognitive map, this study helps understand the needs and priorities of the survivors, such as the importance of voice, respect, and the nature of the disclosure process, and aims to aid future research and decision makers in better understanding and supporting the decision-making processes of sexual violence survivor.

Spatial ability is not just a skill but a crucial element for architecture and interior design students, significantly impacting their proficiency in tasks involving 2D drawings, 3D components, and artistic expression. Despite extensive research in this area, a gap remains in the understanding of how to effectively cultivate spatial ability through educational interventions. This study, with its unique approach of identifying key influencing factors and their interrelationships within the fuzzy decision-making laboratory analysis method (Fuzzy-DEMATEL) and the interpretative structural model (ISM), fills this gap. The method visualizes cause-and-effect relationships within a structural model and captures the interdependencies between influencing factors. In a collaborative effort between nine universities in 2023–2024, 17 experts selected through purposeful sampling contributed to the development of a comprehensive list of potential influencing factors. After refinement through filtering, comparison with the existing literature, and expert consensus, seven influencing factors of spatial ability for architecture and interior design students from personal traits and STEAM disciplines were identified, which are sketching and hand drawing skills, mathematical skills, video game practice, descriptive geometry skills, augmented reality practice, spatial talk, and gesturing while talking. Sketching and hand drawing skills, mathematical skills, and video game practice come under cause factors of spatial ability, whereas the rest are effect factors. Proceeding with ISM analysis revealed that sketching and hand drawing skills and mathematical skills are located in the input layer and have a continuous impact on spatial ability. Descriptive geometry skills lie in the transition layer, which are considered as deep influencing factors, the rest of the factors lie in the effect layer. This study delves into the theoretical and practical implications of these findings, offering valuable insights for educational policy and practice.

The study of navigation is informed by ethological data from many species, laboratory investigation at behavioural and neurobiological levels, and computational modelling. However, the data are often species-specific, making it challenging to develop general models of how biology supports behaviour. Wiener et al. outlined a framework for organizing the results across taxa, called the 'navigation toolbox' (Wiener et al. In Animal thinking: contemporary issues in comparative cognition (eds R Menzel, J Fischer), pp. 51–76). This framework proposes that spatial cognition is a hierarchical process in which sensory inputs at the lowest level are successively combined into ever-more complex representations, culminating in a metric or quasi-metric internal model of the world (cognitive map). Some animals, notably humans, also use symbolic representations to produce an external representation, such as a verbal description, signpost or map that allows communication of spatial information or instructions between individuals. Recently, new discoveries have extended our understanding of how spatial representations are constructed, highlighting that the hierarchical relationships are bidirectional, with higher levels feeding back to influence lower levels. In the light of these new developments, we revisit the navigation toolbox, elaborate it and incorporate new findings. The toolbox provides a common framework within which the results from different taxa can be described and compared, yielding a more detailed, mechanistic and generalized understanding of navigation. [ABSTRACT FROM AUTHOR]

Background: Despite the demonstrated efficacy of psychotherapy, the precise mechanisms that drive therapeutic transformations have posed a challenge and still remain unresolved. Here, we suggest a potential solution to this problem by introducing a framework based on the concept of mental navigation. It refers to our ability to navigate our cognitive space of thoughts, ideas, concepts, and memories, similar to how we navigate physical space. We start by analyzing the neural, cognitive, and experiential constituents intrinsic to mental navigation. Subsequently, we posit that the metaphoric spatial language we employ to articulate introspective experiences (e.g., "unexplored territory" or "going in circles") serves as a robust marker of mental navigation. Methods: Using large text corpora, we compared the utilization of spatial language between transcripts of psychotherapy sessions (≈ 12 M. words), casual everyday conversations (≈ 12 M. words), and fictional dialogues in movies (≈ 14 M. words). We also examined 110 psychotherapy transcripts qualitatively to discern patterns and dynamics associated with mental navigation. Results: We found a notable increase in the utilization of spatial metaphors during psychotherapy compared to casual everyday dialogues (U = 192.0, p =.001, d = 0.549) and fictional conversations (U = 211, p <.001, d = 0.792). In turn, analyzing the usage of non-spatial metaphors, we did not find significant differences between the three datasets (H = 0.682, p = 0.710). The qualitative analysis highlighted specific examples of mental navigation at play. Conclusion: Mental navigation might underlie the psychotherapy process and serve as a robust framework for understanding the transformative changes it brings about. [ABSTRACT FROM AUTHOR]

When making decisions, we sometimes rely on habit and at other times plan toward goals. Planning requires the construction and use of an internal representation of the environment, a cognitive map. How are these maps constructed, and howdo they guide goal-directed decisions? We coupled a sequential decision-making task with a behavioral representational similarity analysis approach to examine how relationships between choice options change when people build a cognitive map of the task structure. We found that participants who encoded stronger higher-order relationships among choice options showed increased planning and better performance. These higher-order relationships were more strongly encoded among objects encountered in high-reward contexts, indicating a role for motivation during cognitive map construction. In contrast, lower-order relationships such as simple visual co-occurrence of objects did not predict goal-directed planning. These results show that the construction of cognitive maps is an active process, with motivation dictating the degree to which higher-order relationships are encoded and used for planning. [ABSTRACT FROM AUTHOR]

Humans and animals form cognitive maps that allow them to navigate through large-scale environments. Here we address a central unresolved question about these maps: whether they exhibit similar characteristics across all environments, or--alternatively--whether different environments yield different types of maps. To investigate this question, we examined spatial learning in three virtual environments: an open courtyard with patios connected by paths (open maze), a set of rooms connected by corridors (closed maze), and a set of isolated rooms connected only by teleporters (teleport maze). All three environments shared the same underlying topological graph structure. Postlearning tests showed that participants formed representations of the three environments that varied in accuracy, format, and individual variability. The open maze was most accurately remembered, followed by the closed maze, and then the teleport maze. In the open maze, most participants developed representations that reflected the Euclidean structure of the space, whereas in the teleport maze, most participants constructed representations that aligned more closely with a mental model of an interconnected graph. In the closed maze, substantial individual variability emerged, with some participants forming Euclidean representations and others forming graph-like representations. These results indicate that an environment's features shape the quality and nature of the spatial representations formed within it, determining whether spatial knowledge takes a Euclidean or graph-like format. Consequently, experimental findings obtained in any single environment may not generalize to others with different features. [ABSTRACT FROM AUTHOR]

The modern paradigm of performing scientific research is steadily improving. One of the directions of its development is the substantiation and organization of team interaction of scientists working on solving a certain scientific problem. The complexity of the tasks to be solved, the need to ensure continuity in scientific research, and the complexity of projects require the introduction of new project management approaches, even in the organization of scientific teams aimed at obtaining unique results. The provisions considered in the study are relevant for the development and organization of scientific research. Moreover, examples of best practices for the success of project teams, considering the types of roles of participants, can be transferred from the field of project management to the field of organization of scientific research. The presented tools will make it possible to move from qualitative ideas about the activities of scientific teams to quantitative assessments of the effectiveness of the researchers work. The use of modeling tools to demonstrate the necessity of each role listed in the scientific school's organizational structure as a "Belbin's team," emphasizing the most crucial ones that influence its growth, and the potential to combine specific project roles without sacrificing project quality are what make this research innovative from a scientific standpoint. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Understanding impact of environmental properties on Alzheimer's disease (AD) is paramount. Spatial complexity of one's routinely navigated environment is an important but understudied factor. METHODS: A total of 660 older adults from National Alzheimer's Coordinating Center (NACC) dataset were geolocated and environmental complexity index derived from geospatial network landmarks and points‐of‐interest. Latent models tested mediation of spatial navigation‐relevant brain volumes and diagnosis (cognitively‐healthy, mild cognitive impairment [MCI], AD) on effect of environmental complexity on spatial behavior. RESULTS: Greater environmental complexity was selectively associated with larger allocentric (but not egocentric) navigation‐related brain volumes, lesser diagnosis of MCI and AD, and better spatial behavioral performance, through indirect hierarchical mediation. DISCUSSION: Findings support hypothesis that spatially complex environments positively impact navigation neural circuitry and spatial behavior function. Given the vulnerability of these very circuits to AD pathology, residing in spatially complex environments may be one factor to help stave off the brain atrophy that accompanies spatial navigation deficits across the AD spectrum. [ABSTRACT FROM AUTHOR]

The ability to navigate and orient in spatial surroundings is critical for effective daily functioning. Such ability is perturbed in clinically diagnosed mood and anxiety disorders, with patients exhibiting poor navigational skills. Here, we investigated the effects of depression and anxiety traits (not the clinical manifestation of the disorders) on the healthy population and hypothesized that greater levels of depression and anxiety traits would manifest in poorer spatial orientation skills and, in particular, with a poor ability to form mental representations of the environment, i.e., cognitive maps. We asked 1237 participants to perform a battery of spatial orientation tasks and complete two questionnaires assessing their anxiety and depression traits. Contrary to our hypothesis, we did not find any correlation between participants' anxiety and depression traits and their ability to form cognitive maps. These findings may imply a significant difference between the clinical and non-clinical manifestations of anxiety and depression as affecting spatial orientation and navigational abilities. [ABSTRACT FROM AUTHOR]