A5081097258- Face Recognition and Perception
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Pancreatic function and diabetes
- Genetic Neurodegenerative Diseases
- Language Development and Disorders
- Neurological disorders and treatments
- Neural and Behavioral Psychology Studies
- Neuroscience and Neural Engineering
- Fractal and DNA sequence analysis
- ECG Monitoring and Analysis
- Advanced Chemical Sensor Technologies
- 3D Printing in Biomedical Research
- Diabetes Management and Research
- Radiopharmaceutical Chemistry and Applications
- Cannabis and Cannabinoid Research
- Facial Nerve Paralysis Treatment and Research
- Colorectal Cancer Treatments and Studies
- Neurobiology of Language and Bilingualism
- Cancer Treatment and Pharmacology
- Visual perception and processing mechanisms
- Evolutionary Psychology and Human Behavior
- Electrohydrodynamics and Fluid Dynamics
- Reading and Literacy Development
University of Toronto
1993-2020
The Scarborough Hospital
2019-2020
Michigan State University
2015
Sheffield Hallam University
1994
Extensive behavioral work has documented the ability of human visual system to extract summary representations from face ensembles (e.g., average identity a crowd faces). Yet, nature such representations, their underlying neural mechanisms, and temporal dynamics await elucidation. Here, we examine facial in adults (of both sexes) with aid pattern analyses, as applied EEG data, along testing. Our findings confirm form explicitly implicitly (i.e., or without use specific instructions). We show...
Two methods of identifying schizophrenia, Parkinson's disease (PD), and Huntington's (HD) are described. The based on the analysis contingent negative variation (CNV), an event related potential (ERP) in electroencephalogram. first method involves spectrum CNV discriminant Fourier harmonic frequency components. other application supervised learning artificial neural networks to features obtained time domain. Additionally, unsupervised were used presymptomatically assess risk HD....
Abstract Recent investigations have focused on the spatiotemporal dynamics of visual recognition by appealing to pattern analysis EEG signals. While this work has established ability decode identity‐level information (such as identity a face or word) from neural signals, much less is known about precise nature signals that support such feats, their robustness across categories, consistency human participants. Here, we address these questions through use EEG‐based decoding and multivariate...
Recent research on noun-noun compounds has suggested that the parser may commit to first noun (N1) as head and then have revise commitment when second (N2) is encountered. However, it remains unclear under what circumstances at N1 occurs, whether involves both semantic syntactic revisions N2. In two event-related potential experiments in German, we explored these questions by manipulating gender matches between a determiner N1/N2 compounds. Experiment 1, determiner-noun match compared with...
Extensive behavioural work has documented our ability to extract summary statistics from groups of faces such as average emotion, gender, and identity. However, date little is known about the neural mechanisms subserving extraction face ensembles. Here, we used electroencephalography (EEG) examine compare processing facial identity ensembles single faces. To this end, collected EEG data across 14 participants who viewed composed 6 well presented one at a time. Critically, were designed that,...
Extensive work has documented the perception of facial expressions, with particular focus on a handful basic emotional expressions. However, larger scope expressions and their representational basis are less understood. Further, neural processing dynamic expression awaits clarification. Here, we address these challenges through EEG-based decoding image/movie reconstruction. Specifically, EEG data were collected from healthy adults who viewed 1-second videos displaying 24 while performing an...