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16
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Introduction
I study cognitive neuroscience. I am interested in a variety of areas including consciousness, memory, emotion, perception, attention, and decision-making. My most recent work focuses on the functional connectivity of musical reward.
Publications
Publications (16)
The science of wisdom has reached a critical point where researchers from numerous fields propose many distinct wisdom models. The great amount of wisdom models has made it difficult for researchers to communicate their findings within their research field, across psychological disciplines, and to the public. Moreover, the breadth of models challen...
Introduction: Emotion regulation is an integral part of mental health, dynamically impacting brain function, as one’s emotions change continuously throughout the day. Impairments in emotion regulation are associated with a range of psychiatric disorders. Although the implications of emotion regulation are crucial to mental health, few studies have...
Undergraduate students report a high level of trait anxiety, which is a risk factor for further psychological decline if unmanaged. Common psychological treatments such as cognitive-behavioural therapy are highly effective in improving symptoms of anxiety for those who are motivated to engage in psychotherapy, but they can be costly. Music-based in...
Cannabis use has long been associated with enhanced music experiences, yet scientific research on its effects on auditory perception remains limited. This mixed-methods retrospective study investigated how recreational cannabis users experience audition and music, while high. A total of 104 participants completed an online questionnaire, 15 of whic...
Abstract
Objective: Across three experiments (N = 622), we investigated the effect of the
future temporal perspective on wise reasoning within the context of interpersonal
conflicts.
Method: Studies 1 and 2 applied two heterogeneous measurements of wise reasoning:
self-report
and open-ended
measurements. Participants reasoned about
their recent int...
Default mode network (DMN) may be associated with wisdom (i.e., mature understanding of life featured by perspectival metacognition) when advising from a self-referential perspective due to the involvement of the DMN in reflecting on personal life experiences. After a resting-state functional MRI scan, 52 adults advised some youths going through li...
Wisdom is a multifaceted construct with significant implications for individual and societal well-being. This scoping review aims to provide a comprehensive examination of the literature on wisdom and its neuroanatomical underpinnings. A systematic search was conducted, and thematic analysis was performed to identify emerging patterns in the data....
Providing advice to others is an important component of wisdom. We conducted a study to test the hypothesis that the Default Mode Network (DMN) is associated with wisdom when advising from a self-referential perspective. This is due to the involvement of the DMN in reflecting on personal life experiences. Altogether, 52 healthy Chinese adults provi...
The nature and processes of wisdom continue to elude us despite the topic being pursued by great philosophers since antiquity, and despite being examined meticulously by pioneering psychologists for decades. These challenges opened doors for neuroscience, a discipline that has been rapidly growing in the past ten years. Neuroscience may enable us t...
Over the past decade, wisdom research has encountered a radical shift in discourse with respect to neurobiology. This has a profound impact on how wisdom is taught in schools. Educating for wisdom requires teaching students to enrich their values, produce a meaningful life, fulfilling a desired life, and understanding one’s relationship with themse...
Objective:
Across three experiments ( N = 622), we investigated the effect of the future temporal perspective on wise reasoning within the context of interpersonal conflicts.
Method:
Studies 1 & 2 applied two heterogeneous measurements of wise reasoning: self-report and open ended measurements. Participants reasoned about their recent interpersonal...
Advice-giving is an important way to share life experiences and promote wisdom in society. We hypothesized that resting-state Default Mode Network (DMN) activity should be associated with increased wisdom when advising from a self-related perspective due to the DMN's involvement in reflection of personal life experiences. In our study, 52 participa...
Emotion regulation is an integral part of mental health, dynamically impacting brain function, as one’s emotions change continuously throughout the day. Impairments in emotion regulation are associated with a range of psychiatric disorders. Although the implications of emotion regulation are crucial to mental health, few studies have examined train...
In this essay, I will explore the hard problem of consciousness and its implications for guiding neuroscience. Firstly, I will explicate how the zeitgeist of the twenty-first century is inevitably guided by philosophical assumptions in scientific disciplines such as cognitive neuroscience, while presenting how this field has fundamentally neglected...
The traditional hierarchical model of face processing proposes dissociable pathways comprise the fusiform face area (FFA), which handles static face information such as identity and the superior temporal sulcus (STS), which processes dynamic face information such as expression. However, to the best of our knowledge no studies to date have examined...
The traditional hierarchical model of face processing proposes dissociable pathways comprise the fusiform face area (FFA), which handles static face information such as identity and the superior temporal sulcus (STS), which processes dynamic face information such as expression. However, to the best of our knowledge no studies to date have examined...
Questions
Questions (4)
Hello,
I am currently working on a project with a colleague that uses EEG data to classify emotions using the circumplex model (i.e. valence/arousal). We plan to use the DEAP dataset for emotion calibration. However, one difference my colleague and I had was whether:
- Pre-recorded EEG data from the DEAP dataset can be directly used to train a classifier? OR
- Is it necessary to record participant's live EEG data, while being instructed to view items from the DEAP database to effectively categorize emotions with a classifier?
One issue I had is that pre-recorded EEG data from the DEAP database would not be as accurate for classification as having a group of participants view items from the DEAP database, while EEG activity is being recorded. However, my colleague suggests that recording raw EEG data from participants will be too time-consuming, and less effective. Does anyone familiar with EEG and emotion classification have any insights? Any suggestions are appreciated.
DEAP dataset
Hello,
I am currently working on a project with a colleague using a Brain-Computer Music Interface (BCMI) to generate music from EEG signals. Affective states will be recorded with EEG signals and sent to a generative music algorithm. A couple of questions I had about the design:
1). We plan to use Emotiv Epoc+ (14 channels), does anyone know any way to run raw EEG data on EEGLAB in real-time, or must EEG data be recorded with external data acquisition software, and analyzed separately?
2). To run the generative music algorithm, is it necessary to train a classifier to model emotion? Can a SVM or random-forest classifier be used to classify emotion from EEG signals, which can then be fed into the generative music algorithm? Or is this step unnecessary?
3). We plan to use the DEAP dataset for emotion calibration. However, one difference my colleague and I had was whether:
- Pre-recorded EEG data from the DEAP dataset can be sent directly into the generative music algorithm? OR
- Is it necessary for participant's EEG data to be recorded, while being instructed to view items from the DEAP database to gauge their affective brain states?
DEAP dataset
The generative algorithm is inspired by Ehrlich et al. (2019), and is designed to generate sounds reflective of the user's affective state.
I have a multiple-choice quiz that has one correct answer, and I am trying to determine if people's answers did not occur due to chance, and there is statistical significance. There are 8 questions, and for each question, there is 1/4 correct answer. The average score is 83%.
Obviously anything above 0.25 (25%) is above chance, but there is still a chance people could get a score above 25% by chance. I am unsure what kind of statistical test I would use to determine this? I have not done a statistical test using multiple-choice.
Bonus points: if you know how to statistically analyze each question, that would be helpful too.
Rather than getting published in a scientific journal, I am working independently on a project, which is not in any labs. I will be writing a review article, and was wondering if anyone knows any third party sources to publish that work? Any help is appreciated.