Marco Marelli
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View article: Multimodal prior knowledge determines false memory formation
Multimodal prior knowledge determines false memory formation Open
Memory formation is a complex phenomenon shaped by various experiential traces, yet their exact contributions remain unclear. This study investigates the generation of false memories leveraging different data-driven computational models to…
View article: Morphemes in the wild: Modelling affix learning from the noisy landscape of natural text
Morphemes in the wild: Modelling affix learning from the noisy landscape of natural text Open
Morphological knowledge serves as a powerful heuristic for vocabulary growth and contributes significantly to the speed and efficiency of reading. While research has long sought to explain how this knowledge is acquired,previous approaches…
View article: Compositionality in the semantic network: a model-driven representational similarity analysis
Compositionality in the semantic network: a model-driven representational similarity analysis Open
Semantic composition allows us to construct complex meanings (e.g., “dog house”, “house dog”) from simpler constituents (“dog”, “house”). Neuroimaging studies have often relied on high-level contrasts (e.g., meaningful > non-meaningful …
View article: A map of words: Retrieving the spatial layout of medium-scale geographical maps through distributional semantics
A map of words: Retrieving the spatial layout of medium-scale geographical maps through distributional semantics Open
Recent evidence has indicated that spatial representations, such as large-scale geographical maps, can be retrieved from natural language alone through cognitively plausible distributional-semantic models, which capture word meanings throu…
View article: Characterizing semantic compositions in the brain: A model-driven fMRI re-analysis
Characterizing semantic compositions in the brain: A model-driven fMRI re-analysis Open
Semantic composition allows us to construct complex meanings (e.g., “dog house”, “house dog”) from simpler constituents (“dog”, “house”). So far, neuroimaging studies have mostly relied on high-level contrasts (e.g., meaningful > non-meani…
View article: Compositional processing in the recognition of Chinese compounds: Behavioural and computational studies
Compositional processing in the recognition of Chinese compounds: Behavioural and computational studies Open
Recent research has shown that the compositional meaning of a compound is routinely constructed by combining meanings of constituents. However, this body of research has focused primarily on Germanic languages. It remains unclear whether t…
View article: A distributional model of concepts grounded in the spatial organization of objects
A distributional model of concepts grounded in the spatial organization of objects Open
Data-driven models of concepts are gaining popularity in Psychology and Cognitive Science. Distributional semantic models represent word meanings as abstract word co-occurrence patterns, and excel at capturing human meaning intuitions abou…
View article: False memories from nowhere: humans falsely recognize words that are not attested in their vocabulary
False memories from nowhere: humans falsely recognize words that are not attested in their vocabulary Open
Semantic knowledge plays an active role in many well-known false memory phenomena, including those emerging from the Deese–Roediger–McDermott (DRM) task. In this experimental paradigm, indeed, humans tend to falsely recognize newly present…
View article: Compositional processing in the recognition of Chinese compounds: Behavioural and computational studies
Compositional processing in the recognition of Chinese compounds: Behavioural and computational studies Open
Recent research has shown that the compositional meaning of a compound is routinely constructed by combining meanings of constituents. However, this body of research has focused primarily on Germanic languages. It remains unclear whether t…
View article: Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony
Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony Open
The preference for simple explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models f…
View article: How should the advancement of large language models affect the practice of science?
How should the advancement of large language models affect the practice of science? Open
Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advancement of large language models affect the practice o…
View article: False memories from nowhere: humans falsely recognize words that are not attested in their vocabulary
False memories from nowhere: humans falsely recognize words that are not attested in their vocabulary Open
Semantic knowledge plays an active role in many well-known false memory phenomena, including those emerging from the Deese–Roediger–McDermott (DRM) task. In this experimental paradigm, indeed, humans tend to falsely recognize newly present…
View article: False memories from nowhere: humans falsely recognize words that are not attested in their vocabulary
False memories from nowhere: humans falsely recognize words that are not attested in their vocabulary Open
Semantic knowledge plays an active role in many well-known false memory phenomena, including those emerging from the Deese–Roediger–McDermott (DRM) task. In this experimental paradigm, indeed, humans tend to falsely recognize newly present…
View article: How to deal with the unknown: How does ChatGPT manage novel derived words?
How to deal with the unknown: How does ChatGPT manage novel derived words? Open
Here we explore whether ChatGPT can provide definitions for novel derived words, and to what extent it is able to capture their degree of perceived meaningfulness, as estimated by human speakers. Whereas the produced definitions are largel…
View article: Visual search and real-image similarity: An empirical assessment through the lens of deep learning
Visual search and real-image similarity: An empirical assessment through the lens of deep learning Open
The ability to predict how efficiently a person finds an object in the environment is a crucial goal of attention research. Central to this issue are the similarity principles initially proposed by Duncan and Humphreys, which outline how t…
View article: Meaning Beyond Lexicality: Capturing Pseudoword Definitions with Language Models
Meaning Beyond Lexicality: Capturing Pseudoword Definitions with Language Models Open
Pseudowords such as “knackets” or “spechy” – letter strings that are consistent with the orthotactical rules of a language but do not appear in its lexicon – are traditionally considered to be meaningless, and employed as such in empirical…
View article: Compositional processing in the recognition of Chinese compounds: Behavioural and computational studies
Compositional processing in the recognition of Chinese compounds: Behavioural and computational studies Open
Recent research has shown that the compositional meaning of a compound is routinely constructed by combining meanings of constituents. However, this body of research has focused primarily on Germanic languages. It remains unclear whether t…
View article: Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony
Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony Open
The preference for simpler explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models …
View article: Time is -ending: Sublexical information activates the horizontal mental time line in word processing.
Time is -ending: Sublexical information activates the horizontal mental time line in word processing. Open
The mental time line (MTL) is a spatial continuum on which earlier events are generally associated with the left space and later events with the right space. Accordingly, past- and future-related words receive faster responses with, respec…
View article: Time is -ending: Sub-lexical information activates the horizontal Mental Time Line in word processing.
Time is -ending: Sub-lexical information activates the horizontal Mental Time Line in word processing. Open
The Mental Time Line (MTL) is a spatial on which earlier events are generally associated with the left space and later events with the right space. Accordingly, past- and future-related words receive faster responses with, respectively, th…
View article: The Children and Young People’s Books Lexicon (CYP-LEX): A large-scale lexical database of books read by children and young people in the United Kingdom
The Children and Young People’s Books Lexicon (CYP-LEX): A large-scale lexical database of books read by children and young people in the United Kingdom Open
This article introduces the Children and Young People’s Books-Lexicon (CYP-LEX), a large-scale lexical database derived from books popular with children and young people in the United Kingdom. CYP-LEX includes 1,200 books evenly distribute…