26 citations · 40 across the 7 of their papers we have counts for
9 papers
Contrastive Neural Embeddings Reveal Individual Traits Beyond Conversational Role
Hubert Huang, Michelle McCleod, Brendan Ames +1
Contrastive representation learning is increasingly used to recover low-dimensional structure from neural recordings, but its output is typically validated by decoding accuracy rat…
Decoding Predictive Inference in Visual Language Processing via Spatiotemporal Neural Coherence
Sean C. Borneman, Julia Krebs, Ronnie B. Wilbur +1
Human language processing relies on the brain's capacity for predictive inference. We present a machine learning framework for decoding neural (EEG) responses to dynamic visual lan…
Dyadic Neural Dynamics: Extending Representation Learning to Social Neuroscience
Maria Glushanina, Jeffrey Huang, Michelle McCleod +2
Social communication fundamentally involves at least two interacting brains, creating a unique modeling problem. We present the first application of Contrastive Embedding for Behav…
Distinct neurodynamics of functional brain networks in Alzheimer's disease and frontotemporal dementia as revealed by EEG
Sungwoo Ahn, Evie A. Malaia, Leonid L Rubchinsky
Objective While Alzheimer's disease (AD) and frontotemporal dementia (FTD) show some common memory deficits, these two disorders show partially overlapping complex spatiotemporal p…
Distinct Modes of Functional Neural Organization in Autism: Insights from Dynamical Systems Analysis of Resting-State EEG
Sungwoo Ahn, Leonid L Rubchinsky, Evie A Malaia
While differences in patterns of functional connectivity and neural synchronization have been reported between individuals on the autism spectrum and neurotypical peers at various…
Neurocomputational Phenotypes in Female and Male Autistic Individuals
Michelle McCleod, Sean Borneman, Evie Malaia
Autism Spectrum Disorder (ASD) is characterized by an altered phenotype in social interaction and communication. Additionally, autism typically manifests differently in females as…
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors
M. M. Rahman, E. Malaia, A. C. Gurbuz +2
RF sensors have been recently proposed as a new modality for sign language processing technology. They are non-contact, effective in the dark, and acquire a direct measurement of s…
ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces
Emre Kurtoglu, Ali C. Gurbuz, Evie A. Malaia +3
The past decade has seen great advancements in speech recognition for control of interactive devices, personal assistants, and computer interfaces. However, Deaf and hard-ofhearing…
American Sign Language Recognition Using RF Sensing
Sevgi Z. Gurbuz, Ali C. Gurbuz, Evie A. Malaia +7
Many technologies for human-computer interaction have been designed for hearing individuals and depend upon vocalized speech, precluding users of American Sign Language (ASL) in th…