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Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model

Over the past decade many studies indicate that we utilize our own motor system to understand the actions of other people. This mirror neuron system (MNS) has been proposed to be involved in social cognition and motor learning. However, conflicting findings regarding the underlying mechanisms that d...

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Autores principales: Aziz-Zadeh, Lisa, Kilroy, Emily, Corcelli, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949354/
https://www.ncbi.nlm.nih.gov/pubmed/29867409
http://dx.doi.org/10.3389/fnhum.2018.00180
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author Aziz-Zadeh, Lisa
Kilroy, Emily
Corcelli, Giorgio
author_facet Aziz-Zadeh, Lisa
Kilroy, Emily
Corcelli, Giorgio
author_sort Aziz-Zadeh, Lisa
collection PubMed
description Over the past decade many studies indicate that we utilize our own motor system to understand the actions of other people. This mirror neuron system (MNS) has been proposed to be involved in social cognition and motor learning. However, conflicting findings regarding the underlying mechanisms that drive these shared circuits make it difficult to decipher a common model of their function. Here we propose adapting a “value-driven” model to explain discrepancies in the human mirror system literature and to incorporate this model with existing models. We will use this model to explain discrepant activation patterns in multiple shared circuits in the human data, such that a unified model may explain reported activation patterns from previous studies as a function of value.
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spelling pubmed-59493542018-06-04 Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model Aziz-Zadeh, Lisa Kilroy, Emily Corcelli, Giorgio Front Hum Neurosci Neuroscience Over the past decade many studies indicate that we utilize our own motor system to understand the actions of other people. This mirror neuron system (MNS) has been proposed to be involved in social cognition and motor learning. However, conflicting findings regarding the underlying mechanisms that drive these shared circuits make it difficult to decipher a common model of their function. Here we propose adapting a “value-driven” model to explain discrepancies in the human mirror system literature and to incorporate this model with existing models. We will use this model to explain discrepant activation patterns in multiple shared circuits in the human data, such that a unified model may explain reported activation patterns from previous studies as a function of value. Frontiers Media S.A. 2018-05-07 /pmc/articles/PMC5949354/ /pubmed/29867409 http://dx.doi.org/10.3389/fnhum.2018.00180 Text en Copyright © 2018 Aziz-Zadeh, Kilroy and Corcelli. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Aziz-Zadeh, Lisa
Kilroy, Emily
Corcelli, Giorgio
Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
title Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
title_full Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
title_fullStr Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
title_full_unstemmed Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
title_short Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
title_sort understanding activation patterns in shared circuits: toward a value driven model
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949354/
https://www.ncbi.nlm.nih.gov/pubmed/29867409
http://dx.doi.org/10.3389/fnhum.2018.00180
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