Inhibitory control and the understanding of buoyancy from childhood to adulthood

Foisy, Lorie‐Marlène Brault; Ahr, Emmanuel; Sarrasin, Jérémie Blanchette; Potvin, Patrice; Houdé, Olivier; Masson, Stève

doi:10.1016/j.jecp.2021.105155

Cited by 10 publications

(1 citation statement)

References 89 publications

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“…The consequence of this overlap is that "intuitive" conceptions, resulting from prior anchoring in a particular environment, are barriers to conceptual learning. This implies that the inhibition of these inputs is important to allow the development of rationality (Brault Foisy et al, 2021). Interestingly, this duality between intuition and rational reasoning can be attributed to a difference between heuristics and algorithmic reasoning (Roell et al, 2019), a feature that may support the transition from a purely analog to a digital process.…”

Section: Homeostasis: the Negative Feedback Loopmentioning

confidence: 99%

From Analog to Digital Computing: Is Homo sapiens’ Brain on Its Way to Become a Turing Machine?

Danchin

Fenton

2022

Front. Ecol. Evol.

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The abstract basis of modern computation is the formal description of a finite state machine, the Universal Turing Machine, based on manipulation of integers and logic symbols. In this contribution to the discourse on the computer-brain analogy, we discuss the extent to which analog computing, as performed by the mammalian brain, is like and unlike the digital computing of Universal Turing Machines. We begin with ordinary reality being a permanent dialog between continuous and discontinuous worlds. So it is with computing, which can be analog or digital, and is often mixed. The theory behind computers is essentially digital, but efficient simulations of phenomena can be performed by analog devices; indeed, any physical calculation requires implementation in the physical world and is therefore analog to some extent, despite being based on abstract logic and arithmetic. The mammalian brain, comprised of neuronal networks, functions as an analog device and has given rise to artificial neural networks that are implemented as digital algorithms but function as analog models would. Analog constructs compute with the implementation of a variety of feedback and feedforward loops. In contrast, digital algorithms allow the implementation of recursive processes that enable them to generate unparalleled emergent properties. We briefly illustrate how the cortical organization of neurons can integrate signals and make predictions analogically. While we conclude that brains are not digital computers, we speculate on the recent implementation of human writing in the brain as a possible digital path that slowly evolves the brain into a genuine (slow) Turing machine.

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Section: Homeostasis: the Negative Feedback Loopmentioning

confidence: 99%

From Analog to Digital Computing: Is Homo sapiens’ Brain on Its Way to Become a Turing Machine?

Danchin

Fenton

2022

Front. Ecol. Evol.

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Does Interference Between Intuitive Conceptions and Scientific Concepts Produce Reliable Inter-individual Differences? A Psychometric Analysis

Edelsbrunner

2024

Sci & Educ

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Statement-verification studies indicate the coexistence of intuitive conceptions and scientific concepts within learners. The underlying assumption is that the intuitive conceptions typically built in childhood never disappear, but are co-activated with scientific concepts when we face relevant situations. This is visible in increased reaction times and error rates when confronting statements for which intuitive conceptions and scientific concepts disagree. Studies that have tried to relate individual differences in this phenomenon to other variables such as inhibition have yielded inconclusive results. In the present study, we examine the structure of individual differences in the statement-verification paradigm by Shtulman and Valcarcel (2012). Using factor analytic model comparisons, we find that there is little stable variation in individuals’ increases of reaction times and error rates across items covering scientific concepts from different domains, as well as across topics within domains. This finding suggests that a reason for inconsistent findings is the absence of stable individual differences in statement-verification tasks. One explanation for this finding is that the answer process draws more strongly on variable cognitive resources (e.g., content knowledge) than on more stable resources (e.g., inhibition ability). The occurrence and handling of interference between intuitive conceptions and scientific concepts appear to be driven by contextual factors rather than by stable cognitive processes. We discuss alternative explanations for the lack of reliable individual differences and implications for theories and the statistical modeling of cognitive pluralism.

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Managing Wide Plurality Through Metarepresentations

Bélanger,

Richard

2024

Sci & Educ

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Inhibitory control and the understanding of buoyancy from childhood to adulthood

Cited by 10 publications

References 89 publications

From Analog to Digital Computing: Is Homo sapiens’ Brain on Its Way to Become a Turing Machine?

From Analog to Digital Computing: Is Homo sapiens’ Brain on Its Way to Become a Turing Machine?

Does Interference Between Intuitive Conceptions and Scientific Concepts Produce Reliable Inter-individual Differences? A Psychometric Analysis

Managing Wide Plurality Through Metarepresentations

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