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Valentina Borghesani

Biographic Data

ID1751453
NAMEValentina Borghesani
GIVEN NAMESValentina
FAMILY NAMEBorghesani
SIGNATUREBORGHESANI V
AFFILIATIONSUniversity of Geneva
ORCID0000-0002-7909-8631
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • What we mean when we say semantic

    Open Access•Jamie Reilly, Cory Shain et al.•ARTICLE•Psychonomic Bulletin & Review•2025

    Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, “concept” has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate…

  • Verbal short-term memory in developmental dyslexia

    Open Access•Lukic, Tiejun Qi et al.•ARTICLE•Brain and Language•2025•References: 94

    Developmental dyslexia (DD) is characterized by difficulties in reading but includes a general verbal short-term memory (vSTM) dysfunction. However, the behavioral and brain basis of vSTM deficits within DD are unknown. 81 children with DD and 17 typically developing (TD) children completed MRI and a verbal repetition task in which length (6 and 9-syllable phrases) and meaningfulness of phrases varied (more or less meaningful phrases). A battery …

  • Large language models surpass human experts in predicting neuroscience results

    Open Access•X Luo, Akilles Rechardt et al.•ARTICLE•Nature Human Behaviour•2024•Cited by: 1•References: 14

    Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. Here, to evaluate this possibility, we created BrainBench, a forward-looking benchmark for predi…

  • Large language models surpass human experts in predicting neuroscience results

    Open Access•X Luo, Akilles Rechardt et al.•ARTICLE•Nature Human Behaviour•2024•Cited by: 1•References: 14

    Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. Here, to evaluate this possibility, we created BrainBench, a forward-looking benchmark for predi…

  • Large language models surpass human experts in predicting neuroscience results

    Open Access•X Luo, Akilles Rechardt et al.•ARTICLE•Nature Human Behaviour•2024•Cited by: 1•References: 14

    Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. Here, to evaluate this possibility, we created BrainBench, a forward-looking benchmark for predi…

  • What we mean when we say semantic

    Open Access•Jamie Reilly, Cory Shain et al.•ARTICLE•Psychonomic Bulletin & Review•2025

    Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, “concept” has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate…

  • Verbal short-term memory in developmental dyslexia

    Open Access•Lukic, Tiejun Qi et al.•ARTICLE•Brain and Language•2025•References: 94

    Developmental dyslexia (DD) is characterized by difficulties in reading but includes a general verbal short-term memory (vSTM) dysfunction. However, the behavioral and brain basis of vSTM deficits within DD are unknown. 81 children with DD and 17 typically developing (TD) children completed MRI and a verbal repetition task in which length (6 and 9-syllable phrases) and meaningfulness of phrases varied (more or less meaningful phrases). A battery …

Psychology (3 works) · Cognition (2 works) · Cognitive psychology (2 works) · Cognitive science (2 works) · Linguistics (2 works) · Neuroscience (2 works) · Action Observation and Synchronization (1 work) · Ambiguity (1 work) · Cognitive and developmental aspects of mathematical skills (1 work) · Cognitive linguistics (1 work)

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