Model-Based Reasoning in Cognitive Science

Holistic education – a model based on three pillars from cognitive science. An example from science education

Problemy Wczesnej Edukacji ◽

10.26881/pwe.2020.49.04 ◽

2020 ◽

Vol 49 (2) ◽

pp. 45-59

Author(s):

Eliza Rybska ◽

Maciej Błaszak

Keyword(s):

Science Education ◽

Cognitive Development ◽

Cognitive Science ◽

Holistic Approach ◽

Holistic Education ◽

Three Dimensions ◽

Educational Activity ◽

Model Based ◽

Modular Model ◽

Conventional School

In this conceptual article we present a modular model of holistic education. Within this approach, an educational activity (and a child’s learning that derives from it) can be characterized in three dimensions: 1) safety, inclusion and participation; 2) interaction, cognition and representation; and 3) affective action leading to imagination and creativity. A holistic approach nurturing the full cognitive development of a child requires going beyond what a conventional school offers, but still presumes designed but liberating processes. We provide a neurobiological argument for holistic education supported by evidence for the featured three dimensions of holistic education along with illustrative examples.

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Language as a mental travel guide

Behavioral and Brain Sciences ◽

10.1017/s0140525x19003182 ◽

2020 ◽

Vol 43 ◽

Author(s):

Charles P. Davis ◽

Gerry T. M. Altmann ◽

Eiling Yee

Keyword(s):

Cognitive Science ◽

Human Cognition ◽

Travel Guide

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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