A5065015184- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Advanced Neuroimaging Techniques and Applications
- Data Stream Mining Techniques
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Machine Learning and Data Classification
- Music and Audio Processing
- Advanced MRI Techniques and Applications
University of Oregon
2020-2023
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis cognition. Here, we describe Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optimized solutions to key problems in advanced fMRI analysis. A variety techniques are presently included BrainIAK: intersubject correlation (ISC) and functional connectivity (ISFC), alignment via shared response model (SRM), full matrix analysis (FCMA),...
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis cognition. Here, we describe Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally-optimized solutions to key problems in advanced fMRI analysis. A variety techniques are presently included BrainIAK: intersubject correlation (ISC) and functional connectivity (ISFC), alignment via shared response model (SRM), full matrix analysis (FCMA),...
The same visual input can serve as the target of perception or a trigger for memory retrieval depending on whether cognitive processing is externally oriented (perception) internally (memory retrieval). While numerous human neuroimaging studies have characterized how stimuli are differentially processed during versus retrieval, and may also be associated with distinct neural states that independent stimulus-evoked activity. Here, we combined fMRI full correlation matrix analysis (FCMA) to...
Studies of working memory (WM) function have tended to adopt either a within-subject approach, focusing on effects load manipulations, or between-subjects individual differences. This dichotomy extends WM neuroimaging studies, with different neural correlates being identified for within- and variation in WM. Here, we examined this issue systematic fashion, leveraging the large-sample Human Connectome Project dataset, conduct well-powered, whole-brain analysis N-back task. We first...
Automated Machine Learning (AutoML) techniques have recently been introduced to design Collaborative Filtering (CF) models in a data-specific manner. However, existing works either search architectures or hyperparameters while ignoring the fact they are intrinsically related and should be considered together. This motivates us consider joint hyperparameter architecture method CF models. this is not easy because of large space high evaluation cost. To solve these challenges, we reduce by...
ABSTRACT The same visual input can serve as the target of perception or a trigger for memory retrieval depending on whether cognitive processing is externally oriented (perception) internally (memory retrieval). While numerous human neuroimaging studies have characterized how stimuli are differentially processed during versus retrieval, and may also be associated with distinct neural states that independent stimulus-evoked activity. Here, we combined fMRI full correlation matrix analysis...