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Core concepts, or overarching principles that identify patterns in processes and phenomena, provide a framework for organizing facts and understanding. Core concepts have existed for many years in some life science disciplines, including biology, microbiology, and physiology, yet have only recently been published for neuroscience through a multi-year community-derived project which identified the following neuroscience core concepts: Communication Modalities, Emergence, Evolution, Gene-Environment Interactions, Information Processing, Nervous System Functions, Plasticity, and Structure-Function Relationship. The current phase of the core concepts work involves two arms: utilizing and "unpacking." Work on utilization of core concepts focuses on strategies for utilizing the core concepts in courses, curricula, and assessment, and in diverse institutional contexts. The process of unpacking involves deconstructing a core concept into its key underlying components. Prior to the 2023 FUN Workshop, we consulted faculty members with relevant experience to aid in the preliminary unpacking of four core concepts (Evolution, Gene-Environment Interactions, Plasticity, and Structure-Function Relationship). The preliminary drafts of the unpacked core concepts were shared at the Faculty for Undergraduate Neuroscience (FUN) Workshop and Neuroscience Teaching Conference (NTC) for community feedback and guidance. This editorial describes community feedback and guidance that we received from the conferences to inform future steps.

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Disrupting the accessibility of the mental representation of suicide may be a possible pathway to a strategy for suicide prevention. Our study aims to theoretically evaluate this perspective by examining the impact of temporarily disrupting the concept of suicide on perceptions of suicide. Using a within-subject design, we tested the effects of semantic satiation targeting the word "suicide" on the perceptual judgment of suicide-relevant pictures in 104 young adults. On each trial, participants repeated aloud one of the three words (i.e., "accident," "murder," or "suicide") either three times (priming) or 30 times (satiation) and indicated whether a subsequent picture matched with the word. Results indicated that satiation of the word "suicide" slowed the accurate categorization of pictures related to all three words, and satiation of "murder" and "accident" delayed participants' judgment of suicide-relevant pictures. Our findings support that semantic satiation can render the suicide concept temporarily less accessible, thereby providing preliminary support for the strategy of concept disruption in suicide prevention.

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Developing both conceptual and procedural knowledge is important for students' mathematics competence. This study examined whether Grade 9 general education mathematics teachers' self-reported use of concept-focused instruction (CFI) and procedure-focused instruction (PFI) were associated differently with ninth graders' algebra achievement after 2.5 years, depending on students' mathematics difficulty (MD) status. Data for this study were drawn from the High School Longitudinal Study for the years 2009-2010 and 2011-2012 (N = 19,104). Multiple regression analyses indicated that students with MD who participated in Grade 9 mathematics classrooms where teachers self-reported the use of less CFI and more PFI were more positively associated with having higher algebra achievement after 2.5 years. Conversely, students without MD in classrooms where mathematics teachers self-reported the use of more CFI and less PFI were positively associated with having higher algebra achievement after 2.5 years. However, this study's findings do not suggest that teachers should disregard CFI and provide only PFI when teaching students with MD. Because the data set did not include any variable to discover whether teachers provided sufficient support (i.e., evidence-based practices) for students with MD, who have more constraints in their cognitive skills compared to students without MD, to benefit from CFI, the findings of this study should be interpreted cautiously. Directions for future research and practical implications are discussed.

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Even though past research suggests that visual learning may benefit from conceptual knowledge, current interventions for medical image evaluation often focus on procedural knowledge, mainly by teaching classification algorithms. We compared the efficacy of pure procedural knowledge (three-point checklist for evaluating skin lesions) versus combined procedural plus conceptual knowledge (histological explanations for each of the three points). All students then trained their classification skills with a visual learning resource that included images of two types of pigmented skin lesions: benign nevi and malignant melanomas. Both treatments produced significant and long-lasting effects on diagnostic accuracy in transfer tasks. However, only students in the combined procedural plus conceptual knowledge condition significantly improved their diagnostic performance in classifying lesions they had seen before in the pre- and post-tests. Findings suggest that the provision of additional conceptual knowledge supported error correction mechanisms.

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Drawing connections between principles and worked examples is an approach to learning and instruction, but it is poorly understood. This study investigated the effects of principle and example complexity on learners' ability to map principles and worked examples. The complexity of a principle or example was determined based on the number of concepts and relationships involved. 138 college students were randomly assigned to one of the mapping conditions: principle-simple example, principle-complex example, simple example-simple example, simple example-complex example, and complex example-complex example. The participants studied related materials and completed a free-mapping and a guided-mapping task for a simple and a complex probability principle. The effects of the mapping activities were measured in terms of gains in structural and conceptual knowledge. For the simple principle, principle-example mapping led to fewer nonrelational comparisons (standalone concepts) than did example-example mapping and an equal number of relational comparisons (interconnected concepts). For the complex principle, principle-example mapping led to fewer nonrelational but more relational comparisons than example-example mapping did. Principle-example mapping of corresponding content was more difficult than example-example mapping was. However, principle-example mapping of noncorresponding content was as easy as or easier than example-example mapping. The two forms of mapping resulted in equivalent gains in structural and conceptual knowledge. The findings of this study expand the understanding of analogical reasoning and learning through mapping and comparison of abstract and concrete content. The findings indicate that principle-example mapping enables learners to overcome the obstacles of comprehending abstract or general information and to identify the interrelationships of the individual concepts in formal structures.

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The aim of the study was to measure the associations between and the evolution of gender awareness, gender-related health knowledge and patient pain legitimation among nursing students. BACKGROUND: Evidence indicates that gender equity skills are still lacking among nurses. Indeed, several studies report gender-biased patient assessment and care, arguing that greater attention should be paid to the gender perspective at university, in order to train nurses who are sensitive to this issue. Recently, certain gender perspective measurement scales have been adapted to the nursing population, offering new opportunities for the educational field. DESIGN: A quasi-experimental study was used for this study. METHODS: This study was conducted in the second semester of the first year of the Nursing Degree run by the University of the Basque Country. A sample of 103 students enrolled in the Anthropology, Ethics and Legislation module completed the Nijmegen Gender Awareness in Medicine Scale, the Pain Legitimation Scale and the Gender Perspective Health Knowledge Scale before and after the second semester, during which part of the syllabus focused on developing gender equity skills. Data were collected between January - April 2022. RESULTS: We found positive correlations between gender-related health knowledge and pain legitimation at post-test, and between said knowledge and gender sensitivity at both pre- and post-test (p < 0.05). The repeated measures indicated that traditional expositive teaching did not increase overall scores for gender awareness, gender-related health knowledge or pain legitimation. CONCLUSIONS: The results suggest that gender-related health knowledge may be a key modifiable factor that leads to enhanced gender awareness in dealings with patients. However, traditional expositive lectures were not enough to produce a robust increase in gender awareness, pain legitimation or gender-related health knowledge levels. The effectiveness of active teaching methodologies should be tested, in order to help nursing students strengthen their resistance to clinical gender stereotypes and become active assets in the move from inequality to equity.

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Cognitive arithmetic classically distinguishes procedural and conceptual knowledge as two determinants of the acquisition of flexible expertise. Whereas procedural knowledge relates to algorithmic routines, conceptual knowledge is defined as the knowledge of core principles, referred to as fundamental structures of arithmetic. To date, there is no consensus regarding their number, list, or even their definition, partly because they are difficult to measure. Recent findings suggest that among the most complex of these principles, some might not be "fundamental structures" but rather may articulate several components of conceptual knowledge, each specific to the arithmetic operation involved. Here, we argue that most of the arithmetic principles similarly may rather articulate several core concepts specific to the operation involved. Data were collected during a national mathematics contest based on an arithmetic game involving a large sample of 9- to 11-year-old students (N = 11,243; 53.1% boys) over several weeks. The purpose of the game was to solve complex arithmetic problems using five numbers and the four operations. A principal component analysis (PCA) was performed. The results show that both conceptual and procedural knowledge were used by children. Moreover, the PCA sorted conceptual and procedural knowledge together, with dimensions being defined by the operation rather than by the concept. This implies that "fundamental structures" rather regroup different concepts that are learned separately. This opens the way to reconsider the very nature of conceptual knowledge and has direct pedagogical implications.

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BACKGROUND: One frequent learning obstacle in mathematics is conceptual interference. However, the majority of research on conceptual interference has focused on science. In this functional magnetic resonance imaging (fMRI) study, we examined the conceptual interference effects in both mathematics and science and the moderating influence of mathematical expertise. METHODS: Thirty adult mathematicians and 31 gender-, age-, and intelligence-matched non-mathematicians completed a speeded reasoning tasks with statements from mathematics and science. Statements were either congruent (true or false according to both scientifically and naïve theories) or incongruent (differed in their truth value). FINDINGS: Both groups exhibited more errors and a slower response time when evaluating incongruent compared to congruent statements in the science and mathematics task, but mathematicians were less affected by naïve theories. In mathematics, the left dorsolateral prefrontal cortex was activated when inhibiting naïve theories, while in science it was the dorsolateral and the ventrolateral prefrontal cortex bilaterally. Mathematical expertise did not moderate the conceptual interference effect at the neural level. CONCLUSION: This study demonstrates that naïve theories in mathematics are still present in mathematicians, even though they are less affected by them in performance than novices. In addition, the differential brain activation in the mathematics and science task indicates that the extent of inhibitory control processes to resolve conceptual interference depends on the quality of the involved concepts.

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Resumen En este trabajo se indagó, desde una aproximación psicológica no representacional, y a partir de dos experimentos, por el efecto de la estructura textual en la comprensión y abstracción de textos. En el primer experimento, quince estudiantes universitarios leyeron tres textos históricos distintos con una de tres estructuras -secuencial, jerárquica o circunstancial-, y se midió si interpretaron, subinterpretaron o sobreinterpretaron los textos en tres pruebas propias de cada estructura, y si realizaban la abstracción de un hecho común a los tres textos. En el segundo, se replicó sistemáticamente el primer experimento, pero con otros quince estudiantes, que se asignaron según su conocimiento conceptual del dominio histórico-político. Los resultados sugieren mayor subinterpretación con la estructura secuencial, y mayor sobreinterpretación con la jerárquica y la circunstancial; el conocimiento conceptual explicó los hallazgos mejor que la estructura textual, pero no dio cuenta de toda la variabilidad. Al final se discuten los resultados en términos de la mediación lingüística como una competencia subordinante tanto del conocimiento conceptual como de la estructura textual. Asimismo, se resaltan las ventajas del registro evolutivo de la comprensión de cada lector, se anticipan algunas fuentes de control adicional para futuros estudios, y se culmina proponiendo algunas implicaciones educativas de los hallazgos.

Abstract In two experiments, the effect of textual structure on the comprehension and abstraction of texts from a non-representational psychological approach was investigated. In the first experiment, fifteen college students read three different historical texts with one of three structures: -sequential, hierarchical, and circumstantial- and t was measured whether they interpreted, under-intetpreted or over-interpreted the texts in three tests specific to each structure, and whether they abstracted a fact common to the three texts. In the second, the first experiment was systematically replicated but with another fifteen students, who were assigned according to their conceptual knowledge of the historical-political domain. The results suggest greater under-intetpretation with the sequential structure, and greater over-interpretation with the hierarchical and circumstantial. Conceptual knowledge explained the findings better than the textual structure but did not account for all variability. The results are discussed in terms of linguistic mediation as a subordinating competence of both conceptual knowledge and textual structure. It also highlights the advantages of the evolving record of each reader's comprehension, anticipates some sources of additional control for future studies, and concludes by proposing some educational implications of the findings.

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While several innovative pedagogical practices have been developed and implemented in anatomy education since the onset of the coronavirus disease 2019 (Covid-19) pandemic, considering the value of in-person undergraduate dissection remains crucial. In this commentary, a human dissection course at the University of Toronto is used as an example to highlight the value of dissection for undergraduate learners in non-professional programs. In-person dissection allows for real life, anatomical variation, and supports the advancement of students' conceptual knowledge of the human body and visual-spatial abilities. Direct involvement with dissection during undergraduate training also provides students with an opportunity to practice and refine non-technical skills, such as communication and collaboration, while simultaneously promoting the development of students' professional identity formation. Further, dissection is a practical, hands-on experience that can provide students with insight into potential career aspirations related to anatomy and the health professions. It is suggested that as institutions veer from traditional pedagogical practices and evaluate how to best move forward post-pandemic, it is imperative that the value of undergraduate dissection is considered among new innovations in the field of anatomy.

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There are increasing calls for the use of research-based teaching strategies to improve engagement and learning in engineering. In this innovation paper, we detail the application of research-based teaching strategies in a computer programming focused biomedical engineering module. This four-week, one-credit undergraduate biomedical engineering (BME) programming-based image processing module consisted of a blend of lectures, active learning exercises, guided labs, and a final project. Students completed surveys and generated concept maps at three time points in the module (pre, mid, and post) to document the impact of integrating research-based teaching strategies. Students demonstrated a significant (p < 0.05) increase in conceptual knowledge, confidence with material, and belief in the usefulness of material from the beginning to end of the module. Students also had high (>  4 out of 5) perceptions of gains in knowledge and attitudes toward instructor support. Overall, the novel design utilized multiple research-based pedagogies and increased students' conceptual knowledge, self-efficacy, and perceived usefulness of material. The proposed design is an example of how multiple research-based instructional strategies can be integrated into an undergraduate biomedical engineering course. Supplementary Information: The online version contains supplementary material available at 10.1007/s43683-021-00057-w.

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Neuroscience curricula vary widely across higher education institutions due to the lack of an accrediting body or a set of unified educational concepts or outcomes. Each institution has developed a unique set of fundamental knowledge, topical subdisciplines, and core competencies to be delivered in a neuroscience program. Core concepts would provide neuroscience departments and programs with a generally agreed upon set of overarching principles that organize knowledge and can be applied to all sub-disciplines of the field, providing a useful framework from which to approach neuroscience education. We set out to develop a consensus set of neuroscience core concepts to aid in higher education curricular development and assessment. Suggestions for neuroscience core concepts were solicited from neuroscience faculty in a nationwide survey and analyzed using an inductive, independent coding model to identify eight core concepts based upon survey responses. Accompanying explanatory paragraphs for each core concept were developed through an iterative process. We presented the resulting core concepts to 134 neuroscience educators at a satellite session of the Faculty for Undergraduate Neuroscience 2020 Summer Virtual Meeting (SVM). Individuals and groups of faculty provided feedback regarding the accuracy, comprehensiveness, and clarity of each concept and explanatory paragraph, as well as the structure of the document as a whole. We continue to refine the core concepts based upon this feedback and will distribute the final document in a subsequent publication. Following publication of the finalized list of core concepts, we will develop tools to help educators incorporate the core concepts into their curricula.

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When, how, and why students use conceptual knowledge during math problem solving is not well understood. We propose that when solving routine problems, students are more likely to recruit conceptual knowledge if their procedural knowledge is weak than if it is strong, and that in this context, metacognitive processes, specifically feelings of doubt, mediate interactions between procedural and conceptual knowledge. To test these hypotheses, in two studies (Ns = 64 and 138), university students solved fraction and decimal arithmetic problems while thinking aloud; verbal protocols and written work were coded for overt uses of conceptual knowledge and displays of doubt. Consistent with the hypotheses, use of conceptual knowledge during calculation was not significantly positively associated with accuracy, but was positively associated with displays of doubt, which were negatively associated with accuracy. In Study 1, participants also explained solutions to rational arithmetic problems; using conceptual knowledge in this context was positively correlated with calculation accuracy, but only among participants who did not use conceptual knowledge during calculation, suggesting that the correlation did not reflect "online" effects of using conceptual knowledge. In Study 2, participants also completed a nonroutine problem-solving task; displays of doubt on this task were positively associated with accuracy, suggesting that metacognitive processes play different roles when solving routine and nonroutine problems. We discuss implications of the results regarding interactions between procedural knowledge, conceptual knowledge, and metacognitive processes in math problem solving.

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Humans have a remarkable capacity to arrange and rearrange perceptual input according to different categorizations. This begs the question whether the categorization is exclusively a higher visual or amodal process, or whether categorization processes influence early visual areas as well. To investigate this we scanned healthy participants in a magnetic resonance imaging scanner during a conceptual decision task in which participants had to answer questions about upcoming images of animals. Early visual cortices (V1 and V2) contained information about the current visual input, about the granularity of the forthcoming categorical decision, as well as perceptual expectations about the upcoming visual stimulus. The middle temporal gyrus, the anterior temporal lobe, and the inferior frontal gyrus were also involved in the categorization process, constituting an attention and control network that modulates perceptual processing. These findings provide further evidence that early visual processes are driven by conceptual expectations and task demands.

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Conceptual knowledge about objects is essential for humans, as well as for animals, to interact with their environment. On this basis, the objects can be understood as tools, a selection process can be implemented and their usage can be planned in order to achieve a specific goal. The conceptual knowledge, in this case, is primarily concerned about the physical properties and functional properties observed in the objects. Similarly tool-use applications in robotics require such conceptual knowledge about objects for substitute selection among other purposes. State-of-the-art methods employ a top-down approach where hand-crafted symbolic knowledge, which is defined from a human perspective, is grounded into sensory data afterwards. However, due to different sensing and acting capabilities of robots, a robot's conceptual understanding of objects (e.g., light/heavy) will vary and therefore should be generated from the robot's perspective entirely, which entails robot-centric conceptual knowledge about objects. A similar bottom-up argument has been put forth in cognitive science that humans and animals alike develop conceptual understanding of objects based on their own perceptual experiences with objects. With this goal in mind, we propose an extensible property estimation framework which consists of estimations methods to obtain the quantitative measurements of physical properties (rigidity, weight, etc.) and functional properties (containment, support, etc.) from household objects. This property estimation forms the basis for our second contribution: Generation of robot-centric conceptual knowledge. Our approach employs unsupervised clustering methods to transform numerical property data into symbols, and Bivariate Joint Frequency Distributions and Sample Proportion to generate conceptual knowledge about objects using the robot-centric symbols. A preliminary implementation of the proposed framework is employed to acquire a dataset comprising six physical and four functional properties of 110 household objects. This Robot-Centric dataSet (RoCS) is used to evaluate the framework regarding the property estimation methods and the semantics of the considered properties within the dataset. Furthermore, the dataset includes the derived robot-centric conceptual knowledge using the proposed framework. The application of the conceptual knowledge about objects is then evaluated by examining its usefulness in a tool substitution scenario.

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Multivariate neuroimaging studies indicate that the brain represents word and object concepts in a format that readily generalises across stimuli. Here we investigated whether this was true for neural representations of simple events described using sentences. Participants viewed sentences describing four events in different ways. Multivariate classifiers were trained to discriminate the four events using a subset of sentences, allowing us to test generalisation to novel sentences. We found that neural patterns in a left-lateralised network of frontal, temporal and parietal regions discriminated events in a way that generalised successfully over changes in the syntactic and lexical properties of the sentences used to describe them. In contrast, decoding in visual areas was sentence-specific and failed to generalise to novel sentences. In the reverse analysis, we tested for decoding of syntactic and lexical structure, independent of the event being described. Regions displaying this coding were limited and largely fell outside the canonical semantic network. Our results indicate that a distributed neural network represents the meaning of event sentences in a way that is robust to changes in their structure and form. They suggest that the semantic system disregards the surface properties of stimuli in order to represent their underlying conceptual significance.

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Hands play a fundamental role in everyday behaviour. Nevertheless, healthy adults show striking misrepresentations of their hands which have been documented by a wide range of studies addressing various aspects of body representation. For example, when asked to indicate the location within the hand of the knuckles, people place them substantially farther forward than they actually are. Previous research, however, has focused exclusively on the knuckles at the base of each finger, not considering the other knuckles in the fingers. This study, therefore, aimed to investigate conceptual knowledge of the structure of the whole hand, by investigating judgements of the location of all 14 knuckle joints in the hand. Participants localised each of the 14 knuckles of their own hand (Experiment 1) or of the experimenter's hand (Experiment 2) on a hand silhouette. We measured whether there are systematic localisation biases. The results showed highly similar pattern of mislocalisation for the knuckles of one's own hand and those of another person's hand, suggesting that people share an abstract conceptual knowledge about the hand structure. In line with previous reports, we showed that the metacarpophalangeal joints at the base of the fingers are judged as substantially father forward in the hand than they actually are. Moreover, for the first time we showed a gradient of this bias, with progressive reduction of distal bias from more proximal to more distal joints. In sum, people think their finger segments are roughly the same, and that their fingers are shorter than they are.

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People everywhere acquire high levels of conceptual knowledge about their social and natural worlds, which we refer to as ethnoscientific expertise. Evolutionary explanations for expertise are still widely debated. We analysed ethnographic text records (N = 547) describing ethnoscientific expertise among 55 cultures in the Human Relations Area Files to investigate the mutually compatible roles of collaboration, proprietary knowledge, cultural transmission, honest signalling, and mate provisioning. We found relatively high levels of evidence for collaboration, proprietary knowledge, and cultural transmission, and lower levels of evidence for honest signalling and mate provisioning. In our exploratory analyses, we found that whether expertise involved proprietary vs. transmitted knowledge depended on the domain of expertise. Specifically, medicinal knowledge was positively associated with secretive and specialised knowledge for resolving uncommon and serious problems, i.e. proprietary knowledge. Motor skill-related expertise, such as subsistence and technological skills, was positively associated with broadly competent and generous teachers, i.e. cultural transmission. We also found that collaborative expertise was central to both of these models, and was generally important across different knowledge and skill domains.

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Past work has shown that changes in encoding contexts (context shifts) act as boundaries across encountered items and can impair temporal memory. We address two questions about this effect: whether conceptual similarity among contexts creating a boundary can alleviate temporal memory impairments and if this effect holds for different forms of contexts (spatial vs. categorical). In a between-subjects design, participants studied the order of sequentially presented faces (items), each presented with an associated context. One group was shown images of a room (spatial) and the other images of a dessert (categorical) as the context. For both, boundaries between contexts with overlapping (similar) or non-overlapping (distinct) conceptual features were introduced. At test, participants performed a recency judgment for pairs of items that crossed or did not cross a context boundary at encoding and recalled whether they were encoded within the same, similar, or distinct context. For both groups, recency judgments were more accurate for item pairs from similar than distinct contexts, but memory for the context relationship between items was more accurate for items from distinct than similar contexts. Our findings suggest that conceptual knowledge impacts how events are parsed during encoding and affects temporal associations formed in episodic memory.

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The hippocampal formation encodes maps of space and a key question in neuroscience is whether its spatial coding principles also provide a universal metric for the organization of nonspatial, conceptual information. Previous work demonstrated directional coding during navigation through a continuous stimulus feature space as well as mapping of distances in a feature space that was relevant for concept learning. Here we provide the first unambiguous evidence for a hippocampal representation of the actual concept space, by showing that the hippocampal distance signal selectively reflects the mapping of specifically conceptually relevant rather than of all feature dimensions. During fMRI scanning of 32 human participants (21 females), we presented everyday objects, which had beforehand been associated with specific values on three continuous feature dimensions. Crucially, only two dimensions were relevant to prior concept learning. We find that hippocampal responses to the objects reflect their relative distances in a space defined along conceptually relevant dimensions compared with distances in a space defined along all feature dimensions. These findings suggest that the hippocampus supports knowledge acquisition by dynamically encoding information in a space spanned along dimensions that are relevant in relation to define concepts.SIGNIFICANCE STATEMENT How are neural representations of conceptual knowledge organized, such that humans are able to infer never experienced relations or categorize new exemplars? Map-like representations as supported by the hippocampal formation to encode physical space during navigation have been suggested as a suitable format. Here we provide the first evidence for a hippocampal representation of a conceptual space compared with a general feature-based space.

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