A5026130715- Olfactory and Sensory Function Studies
- Neural Networks and Applications
- Neural dynamics and brain function
- Cognitive Science and Education Research
- Advanced Neuroimaging Techniques and Applications
- Neonatal and fetal brain pathology
- Health disparities and outcomes
- Mental Health Research Topics
- COVID-19 epidemiological studies
- Social and Intergroup Psychology
- Behavioral Health and Interventions
- Media Influence and Health
- Vaccine Coverage and Hesitancy
- Language, Discourse, Communication Strategies
- Neuroscience and Music Perception
- Human Mobility and Location-Based Analysis
- Data-Driven Disease Surveillance
- Social Media and Politics
- Urban Transport and Accessibility
- Functional Brain Connectivity Studies
- Language, Metaphor, and Cognition
- Model Reduction and Neural Networks
- COVID-19 Pandemic Impacts
University of Lisbon
2022-2024
Universidade Nova de Lisboa
2022
Institute of Cognitive and Brain Sciences
2022
Mansfield University
2022
University of Connecticut
2017-2019
Previous research indicates that political conservatism is associated with epistemic needs for structure and certainty (Jost et al., 2003) nouns elicit clearer more definite perceptions of reality than other parts speech (Carnaghi 2008). We therefore hypothesized conservatives would exhibit preferences (vs. verbs adjectives), insofar as are better suited to satisfy needs. In Study 1, we observed social was noun in Polish personal need accounted the association between ideology grammatical...
Abstract This article presents a novel, nonlinear, data-driven signal processing method, which can help neuroscience researchers visualize and understand complex dynamical patterns in both time space. Specifically, we present applications of Koopman operator approach for eigendecomposition electrophysiological signals into orthogonal, coherent components examine their associated spatiotemporal dynamics. thus provides enhanced capabilities over conventional computational tools restricted to...
This paper presents an Artificial Intelligence approach to mining context and emotions related olfactory cultural heritage narratives, particularly fairy tales. We provide overview of the role smell in literature, as well highlight importance experience from psychology linguistic perspectives. introduce a methodology for extracting smells text, demonstrate context-based visualizations implemented novel tracker tool. The evaluation is performed using collection tales Grimm Andersen. find out...
This paper presents a data-driven method to extract spatiotemporal dynamics of mismatch negativity in marmoset monkey. In this, we treat electrocorticographic (ECoG) data as observables skew-product dynamical system and the patterns neural from point view operator-theoretic formulation ergodic theory. We successfully time-separable frequencies without bandpass filtering. Second, examine more detail frequency band most commonly associated with MMN-beta-band activity (13-20 Hz) proceed...
Abstract The construction of brain growth charts trained to predict age based on morphometric and/or functional properties the (‘brain-age prediction’) has potential inform neuroscientists and clinicians alike about children’s neurodevelopmental trajectories. When applied both typically- atypically-developing populations – such as those with specific learning disorders results may be informative whether a particular condition is associated atypical maturation networks. Here, we focus...
This paper presents an Artificial Intelligence approach to mining context and emotions related olfactory cultural heritage narratives, in particular fairy tales. We provide overview of the role smell literature, as well highlight importance experience from psychology linguistic perspectives. introduce a methodology for extracting smells text, demonstrate context-based visualizations implemented novel Smell Tracker tool. The evaluation is performed using collection tales Grimm Andersen. find...
This paper presents an Artificial Intelligence approach to mining context and emotions related olfactory cultural heritage narratives, in particular fairy tales. We provide overview of the role smell literature, as well highlight importance experience from psychology linguistic perspectives. introduce a methodology for extracting smells text, demonstrate context-based visualizations implemented novel Smell Tracker tool. The evaluation is performed using collection tales Grimm Andersen. find...
Abstract We tested whether the political climate in each U.S. state and Washington, DC determined nature of spread COVID-19 cases deaths those polities during 2020. Political for polity was indexed as a weighted average proportion Republicans legislatures 2018 degree public trust both White House President Trump to handle April, found that higher on index had faster increases per capita deaths. Such Republican-trusting also lower access health care less engagement prevention behavior, which...