scholarly journals Mental state space visualization for interactive modeling of personalized BCI control strategies

2019 ◽  
Author(s):  
Ilya Kuzovkin ◽  
Konstantin Tretyakov ◽  
Andero Uusberg ◽  
Raul Vicente
Keyword(s):  
State Space ◽  
Mental State ◽  
Control Strategies ◽  
Muscular Activity ◽  
Mental States ◽  
Learning System ◽  
Self Organizing Map ◽  
Preliminary Validation ◽  
Som Algorithm ◽  
Mental Actions

AbstractObjectiveNumerous studies in the area of BCI are focused on the search for a better experimental paradigm – a set of mental actions that a user can evoke consistently and a machine can discriminate reliably. Examples of such mental activities are motor imagery, mental computations, etc. We propose a technique that instead allows the user to try different mental actions in the search for the ones that will work best.ApproachThe system is based on a modification of the self-organizing map (SOM) algorithm and enables interactive communication between the user and the learning system through a visualization of user’s mental state space. During the interaction with the system the user converges on the paradigm that is most efficient and intuitive for that particular user.Main resultsResults of the two experiments, one allowing muscular activity, another permitting mental activity only, demonstrate soundness of the proposed method and offer preliminary validation of the performance improvement over the traditional closed-loop feedback approach.SignificanceThe proposed method allows a user to visually explore their mental state space in real time, opening new opportunities for scientific inquiry. The application of this method to the area of brain-computer interfaces enables more efficient search for the mental states that will allow a user to reliably control a BCI system.

scholarly journals Mental state space visualization for interactive modeling of personalized BCI control strategies

2020 ◽  
Vol 17 (1) ◽  
pp. 016059 ◽  
Author(s):  
Ilya Kuzovkin ◽  
Konstantin Tretyakov ◽  
Andero Uusberg ◽  
Raul Vicente
Keyword(s):  
State Space ◽  
Mental State ◽  
Control Strategies ◽  
Interactive Modeling

Stable neural representations of mental states across target people and stimulus modalities

2020 ◽  
Author(s):  
Miriam E. Weaverdyck ◽  
Mark Allen Thornton ◽  
Diana Tamir
Keyword(s):  
Mental State ◽  
Mental States ◽  
Brain Regions ◽  
The Self ◽  
Similarity Analysis ◽  
Multiple Modalities ◽  
Neural Representations ◽  
Conceptual Core ◽  
Stimulus Modalities ◽  
Huge Variety

Each individual experiences mental states in their own idiosyncratic way, yet perceivers are able to accurately understand a huge variety of states across unique individuals. How do they accomplish this feat? Do people think about their own anger in the same ways as another person’s? Is reading about someone’s anxiety the same as seeing it? Here, we test the hypothesis that a common conceptual core unites mental state representations across contexts. Across three studies, participants judged the mental states of multiple targets, including a generic other, the self, a socially close other, and a socially distant other. Participants viewed mental state stimuli in multiple modalities, including written scenarios and images. Using representational similarity analysis, we found that brain regions associated with social cognition expressed stable neural representations of mental states across both targets and modalities. This suggests that people use stable models of mental states across different people and contexts.

Mental state dynamics explain the origin of mental state concepts

2020 ◽  
Author(s):  
Mark Allen Thornton ◽  
Milena Rmus ◽  
Diana Tamir
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mental State ◽  
Mental States ◽  
Social World ◽  
The Social ◽  
Artificial Neural ◽  
Ebb And Flow

People’s thoughts and feelings ebb and flow in predictable ways: surprise arises quickly, anticipation ramps up slowly, regret follows anger, love begets happiness, and so forth. Predicting these transitions between mental states can help people successfully navigate the social world. We hypothesize that the goal of predicting state dynamics shapes people’ mental state concepts. Across seven studies, when people observed more frequent transitions between a pair of novel mental states, they judged those states to be more conceptually similar to each other. In an eighth study, an artificial neural network trained to predict real human mental state dynamics spontaneously learned the same conceptual dimensions that people use to understand these states: the 3d Mind Model. Together these results suggest that mental state dynamics explain the origins of mental state concepts.

People represent their own mental states more distinctly than others’

2018 ◽  
Author(s):  
Mark Allen Thornton ◽  
Miriam E. Weaverdyck ◽  
Judith Mildner ◽  
Diana Tamir
Keyword(s):  
Mental State ◽  
Social Distance ◽  
Activity Patterns ◽  
Mental States ◽  
Direct Access ◽  
Social Brain ◽  
Privileged Access ◽  
Behavioral Studies ◽  
The Social ◽  
External Cues

One can never know the internal workings of another person – one can only infer others’ mental states based on external cues. In contrast, each person has direct access to the contents of their own mind. Here we test the hypothesis that this privileged access shapes the way people represent internal mental experiences, such that they represent their own mental states more distinctly than the states of others. Across four studies, participants considered their own and others’ mental states; analyses measured the distinctiveness of mental state representations. Two neuroimaging studies used representational similarity analyses to demonstrate that the social brain manifests more distinct activity patterns when thinking about one’s own states versus others’. Two behavioral studies support these findings. Further, they demonstrate that people differentiate between states less as social distance increases. Together these results suggest that we represent our own mind with greater granularity than the minds of others.

Dehumanization and Mentalizing Animals

2017 ◽  
Author(s):  
T.J. Kasperbauer
Keyword(s):  
Moral Psychology ◽  
Mental State ◽  
Moral Status ◽  
Mental States ◽  
Psychological Research ◽  
Human Beings ◽  
Mental State Attribution ◽  
The Relationship ◽  
Phenomenal States

This chapter applies the psychological account from chapter 3 on how we rank human beings above other animals, to the particular case of using mental states to assign animals moral status. Experiments on the psychology of mental state attribution are discussed, focusing on their implications for human moral psychology. The chapter argues that attributions of phenomenal states, like emotions, drive our assignments of moral status. It also describes how this is significantly impacted by the process of dehumanization. Psychological research on anthropocentrism and using animals as food and as companions is discussed in order to illuminate the relationship between dehumanization and mental state attribution.

scholarly journals Propositionalism and Questions that do not have Correct Answers

Erkenntnis ◽  
2021 ◽  
Author(s):  
Giulia Felappi
Keyword(s):  
Mental State ◽  
Mental States ◽  
Prima Facie ◽  
Mental Life ◽  
Do So

AbstractAs the label suggests, according to propositionalism, each intentional mental state, attitude or event is or involves a relation to a proposition. In this paper, I will discuss a case that seems prima facie not to be accountable for by propositionalism. After having presented the case, I will show why it is different from others that have been discussed in the literature as able to show that propositionalism cannot be correct. I will then consider what the propositionalist can say to fix the problem and I will show that no strategy that is genuinely propositionalist seems promising. I will not conclude that propositionalism is doomed. But I will show that if propositionalism can account for our case at all, it can only do so by losing its main appeal, i.e. its elegance and simplicity. But then propositionalism seems to have lost its advantage with respect to its obvious alternative, i.e. a pluralist account according to which mental states, attitudes and events are not all homogeneously relations to propositions, but rather our mental life should be accounted for in terms of a plurality of kinds of relata.

scholarly journals Understanding the Links between Inferring Mental States, Empathy, and Burnout in Medical Contexts

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 158
Author(s):  
Naira Delgado ◽  
Helena Bonache ◽  
Moisés Betancort ◽  
Yurena Morera ◽  
Lasana T. Harris
Keyword(s):  
Adverse Effects ◽  
Patient Care ◽  
Emotional Exhaustion ◽  
Mental State ◽  
Perspective Taking ◽  
Healthcare Professionals ◽  
Mental States ◽  
Empathic Concern ◽  
Personal Accomplishment ◽  
Personal Distress

It is generally accepted that empathy should be the basis of patient care. However, this ideal may be unrealistic if healthcare professionals suffer adverse effects when engaging in empathy. The aim of this study is to explore the effect of inferring mental states and different components of empathy (perspective-taking; empathic concern; personal distress) in burnout dimensions (emotional exhaustion; depersonalization; personal accomplishment). A total of 184 healthcare professionals participated in the study (23% male, Mage = 44.60; SD = 10.46). We measured participants’ empathy, the inference of mental states of patients, and burnout. Correlation analyses showed that inferring mental states was positively associated with perspective-taking and with empathic concern, but uncorrelated with personal distress. Furthermore, emotional exhaustion was related to greater levels of personal distress and greater levels of inferences of mental states. Depersonalization was associated with greater levels of personal distress and lower levels of empathic concern. Personal accomplishment was associated with the inference of mental states in patients, lower levels of personal distress, and perspective-taking. These results provide a better understanding of how different components of empathy and mental state inferences may preserve or promote healthcare professionals’ burnout.

Maternal mental state language is associated with trajectories of Chinese immigrant children’s emotion situation knowledge

2018 ◽  
Vol 43 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Stacey N. Doan ◽  
Helen Y. Lee ◽  
Qi Wang
Keyword(s):  
Mental State ◽  
Cultural Context ◽  
Mental States ◽  
European American ◽  
Chinese Immigrant ◽  
Children's Emotion ◽  
Mental State Language ◽  
And Behaviors ◽  
Over Time ◽  
State Language

We investigated the role of mothers’ references to mental states and behaviors and children’s emotion situation knowledge (ESK) in a prospective, cross-cultural context. European American mothers ( n = 71) and Chinese immigrant mothers ( n = 60) and their children participated in the study. Maternal references to mental states and behaviors were assessed at Time 1 when children were three years of age. ESK was assessed when children were 3, 3.5, and 4.5 years of age. Multi-group latent growth curve analyses were used to model children’s growth in ESK over time, as well as relations between mental state language and references to behaviors on children’s trajectories. Results indicated that maternal references to mental states were associated with concurrent levels of ESK for European American children, and change over time for the Chinese immigrant children. Maternal references to behaviors were negatively associated with concurrent ESK for both groups.

scholarly journals Application of self organizing map in construction, geology and petroleum industry

2017 ◽  
Vol 20 (K4) ◽  
pp. 30-38
Author(s):  
Tung Son Pham ◽  
Huy Minh Truong ◽  
Tuan Ba Pham
Keyword(s):  
Industrial Revolution ◽  
Human Life ◽  
Petroleum Industry ◽  
Self Organizing Map ◽  
Practical Applications ◽  
Fourth Industrial Revolution ◽  
Som Algorithm ◽  
Clustering Data ◽  
Self Organizing

In recent years, Artificial Intelligence (AI) has become an emerging subject and been recognized as the flagship of the Fourth Industrial Revolution. AI is subtly growing and becoming vital in our daily life. Particularly, Self-Organizing Map (SOM), one of the major branches of AI, is a useful tool for clustering data and has been applied successfully and widespread in various aspects of human life such as psychology, economic, medical and technical fields like mechanical, construction and geology. In this paper, the primary purpose of the authors is to introduce SOM algorithm and its practical applications in geology and construction. The results are classification of rock facies versus depth in geology and clustering two sets of construction prices indices and building material costs indice.

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