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Article
Open AccessNeurophysiological markers of emotion regulation predict efficacy of entrepreneurship education
Recent evidence shows that programs targeting the socio-emotional dimensions of entrepreneurship—e.g., resilience, personal initiative, and empathy—are more highly correlated with success along with key busine...
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Chapter and Conference Paper
Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks
Imaging technologies heavily rely on tomographic reconstruction, which involves solving a multidimensional inverse problem given a limited number of projections. Building upon our prior research [14], we have asc...
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Chapter and Conference Paper
Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are neuroimaging modalities that offer complementary strengths and weaknesses in terms of spatial and temporal resolution. In this ...
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Chapter and Conference Paper
Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process
Large language models (LLMs) have shown significant potential in natural language processing (NLP) tasks, but they are plagued by issues of hallucination, where generated text contains false or fabricated info...
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Chapter and Conference Paper
Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI
Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that combines the advantages of both modalities, offering valuable insights into the spatial and temporal dynamics of neural activity. In this pape...
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Article
Open AccessA multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers
Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular degeneration (AMD), a degenerative retinal disease which leads to blindness if untreated. Optical coherence tom...
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Chapter and Conference Paper
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection
Optical coherence tomography (OCT) is widely used for detection of ophthalmic diseases, such as glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy. Using a low-coherence-length light so...
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Article
Large-scale network dynamics in neural response to emotionally negative stimuli linked to serotonin 1A binding in major depressive disorder
Serotonergic dysfunction is implicated in major depressive disorder (MDD), but the mechanisms of this relationship remain elusive. Serotonin 1A (5-HT1A) autoreceptors regulate brain-wide serotonin neuron firing a...
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Article
Open AccessDecomposing Simon task BOLD activation using a drift-diffusion model framework
The Simon effect is observed in spatial conflict tasks where the response time of subjects is increased if stimuli are presented in a lateralized manner so that they are incongruous with the response informati...
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Chapter and Conference Paper
Information-Theoretic Characterization of the Neural Mechanisms of Active Multisensory Decision Making
The signals delivered by different sensory modalities provide us with complementary information about the environment. A key component of interacting with the world is how to direct ones’ sensors so as to extr...
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Reference Work Entry In depth
Towards Serious Games for Improved BCI
Brain-computer interface (BCI) technologies, or technologies that use online brain signal processing, have a great promise to improve human interactions with computers, their environment, and even other humans...
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Living Reference Work Entry In depth
Towards Serious Games for Improved BCI
Brain-computer interface (BCI) technologies, or technologies that use online brain signal processing, have a great promise to improve human interactions with computers, their environment, and even other humans...
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Chapter
Cortically-Coupled Computer Vision
We have developed EEG-based BCI systems which couple human vision and computer vision for speeding the search of large images and image/video databases. We term these types of BCI systems “cortically-coupled c...
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Article
Transferring technology from the intelligence community to the medical community
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Chapter and Conference Paper
Comparison of Gender Recognition By PDP and Radial Basis Function Networks
Despite a long history of neurological, psychological, and computational efforts, no satisfactory explanation has been offered for the extraordinary ability of humans to recognize other human faces. However, a...
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Chapter
Construction of Illusory Surfaces by Intermediate-Level Visual Cortical Networks
A model is proposed which directly links the perception of illusory contours to intermediate-level cortical processes for visual surface discrimination. An important assertion of the model is that illusory con...
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Chapter
NEXUS: A Neural Simulator for Integrating Top-Down and Bottom-Up Modeling
We have developed the NEXUS simulation environment as a tool for modeling large-scale neural systems. The software is written in C and runs under UNIX. A unique aspect of NEXUS is that it is particularly suite...
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Chapter
Cortical Mechanisms for Surface Segmentation
Physiology has shown that the neural machinery of “early vision” is well suited for extracting edges and determining orientation of contours in the visual field. However, when looking at objects in a scene our...
