An Agent Response System Based on Mirror Neuron and Theory of Mind

2014 ◽  
pp. 42-49 ◽  
Author(s):  
Kyon-Mo Yang ◽  
Sung-Bae Cho
Keyword(s):  
Theory Of Mind ◽  
Mirror Neuron ◽  
Response System

The role of the mirror neuron network for Theory of Mind: An fMRI study using point-light representations of biological motion

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S184
Author(s):  
D Mier ◽  
K Zentgraf ◽  
M Reiser ◽  
K Zygrodnik ◽  
J Munzert ◽  
...  
Keyword(s):  
Theory Of Mind ◽  
Biological Motion ◽  
Mirror Neuron ◽  
Neuron Network ◽  
Fmri Study ◽  
Point Light

Elevated mirror neuron system activity is associated with impaired theory of mind in mania

2020 ◽  
Vol 47 ◽  
pp. 101862 ◽  
Author(s):  
Rakshathi Basavaraju ◽  
Urvakhsh Meherwan Mehta ◽  
Jagadisha Thirthalli
Keyword(s):  
Theory Of Mind ◽  
Mirror Neuron System ◽  
Mirror Neuron ◽  
Neuron System ◽  
System Activity

scholarly journals Reduced Mirror Neuron Activity in Schizophrenia and Its Association With Theory of Mind Deficits: Evidence From a Transcranial Magnetic Stimulation Study

2013 ◽  
Vol 40 (5) ◽  
pp. 1083-1094 ◽  
Author(s):  
Urvakhsh Meherwan Mehta ◽  
Jagadisha Thirthalli ◽  
Rakshathi Basavaraju ◽  
Bangalore N. Gangadhar ◽  
Alvaro Pascual-Leone
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Theory Of Mind ◽  
Magnetic Stimulation ◽  
Mirror Neuron ◽  
Neuron Activity

scholarly journals Connectivity patterns of task-specific brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and link to molecular architecture

2020 ◽  
Author(s):  
Ji Chen ◽  
Veronika I. Müller ◽  
Juergen Dukart ◽  
Felix Hoffstaedter ◽  
Justin T. Baker ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Theory Of Mind ◽  
Brain Networks ◽  
Mirror Neuron ◽  
Individual Variability ◽  
Dopamine Synthesis ◽  
Molecular Architecture ◽  
Cognitive Dimension ◽  
Symptom Dimensions ◽  
Cognitive Symptom

AbstractBackgroundDespite the marked inter-individual variability in the clinical presentation of schizophrenia, it remains unclear the extent to which individual dimensions of psychopathology may be reflected in variability across the collective set of functional brain connections. Here, we address this question using network-based predictive modeling of individual psychopathology along four data-driven symptom dimensions. Follow-up analyses assess the molecular underpinnings of predictive networks by relating them to neurotransmitter-receptor distribution patterns.MethodsWe investigated resting-state fMRI data from 147 schizophrenia patients recruited at seven sites. Individual expression along negative, positive, affective, and cognitive symptom dimensions was predicted using relevance vector machine based on functional connectivity within 17 meta-analytic task-networks following a repeated 10-fold cross-validation and leave-one-site-out analyses. Results were validated in an independent sample. Networks robustly predicting individual symptom dimensions were spatially correlated with density maps of nine receptors/transporters from prior molecular imaging in healthy populations.ResultsTen-fold and leave-one-site-out analyses revealed five predictive network-symptom associations. Connectivity within theory-of-mind, cognitive reappraisal, and mirror neuron networks predicted negative, positive, and affective symptom dimensions, respectively. Cognitive dimension was predicted by theory-of-mind and socio-affective-default networks. Importantly, these predictions generalized to the independent sample. Intriguingly, these two networks were positively associated with D1 dopamine receptor and serotonin reuptake transporter densities as well as dopamine-synthesis-capacity.ConclusionsWe revealed a robust association between intrinsic functional connectivity within networks for socio-affective processes and the cognitive dimension of psychopathology. By investigating the molecular architecture, the present work links dopaminergic and serotonergic systems with the functional topography of brain networks underlying cognitive symptoms in schizophrenia.

The emergence of music from the Theory of Mind

2009 ◽  
Vol 13 (2_suppl) ◽  
pp. 83-115 ◽  
Author(s):  
Steven Robert Livingstone ◽  
William Forde Thompson
Keyword(s):  
Theory Of Mind ◽  
Cultural Transmission ◽  
Mirror Neuron System ◽  
Emotional Experience ◽  
Mirror Neuron ◽  
Neuron System ◽  
Multiple Modalities ◽  
Transmission Of Knowledge ◽  
Selective Pressures ◽  
General Adaptation

It is commonly argued that music originated in human evolution as an adaptation to selective pressures. In this paper we present an alternative account in which music originated from a more general adaptation known as a Theory of Mind (ToM). ToM allows an individual to recognise the mental and emotional state of conspecifics, and is pivotal in the cultural transmission of knowledge. We propose that a specific form of ToM, Affective Engagement, provides the foundation for the emergence of music. Underpinned by the mirror neuron system of empathy and imitation, music achieves engagement by drawing from pre-existing functions across multiple modalities. As a multimodal phenomenon, music generates an emotional experience through the broadened activation of channels that are to be empathically matched by the audio-visual mirror neuron system.

Cognitive gadgets: A provocative but flawed manifesto

2019 ◽  
Vol 42 ◽  
Author(s):  
Marco Del Giudice
Keyword(s):  
Theory Of Mind ◽  
Cultural Differences ◽  
Twin Studies ◽  
Cross Cultural ◽  
Evolutionary Approach ◽  
Genetic Inheritance ◽  
Double Standards ◽  
Cross Cultural Differences ◽  
Cherry Picking ◽  
Dichotomous Thinking

Abstract The argument against innatism at the heart of Cognitive Gadgets is provocative but premature, and is vitiated by dichotomous thinking, interpretive double standards, and evidence cherry-picking. I illustrate my criticism by addressing the heritability of imitation and mindreading, the relevance of twin studies, and the meaning of cross-cultural differences in theory of mind development. Reaching an integrative understanding of genetic inheritance, plasticity, and learning is a formidable task that demands a more nuanced evolutionary approach.

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