- Face Recognition and Perception
- Visual perception and processing mechanisms
- Face recognition and analysis
- Neural dynamics and brain function
- Visual Attention and Saliency Detection
- Face and Expression Recognition
- Evolutionary Psychology and Human Behavior
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Facial Nerve Paralysis Treatment and Research
- Aesthetic Perception and Analysis
- Action Observation and Synchronization
- Memory and Neural Mechanisms
- Motor Control and Adaptation
- Glaucoma and retinal disorders
- Neural Networks and Applications
- Neurobiology of Language and Bilingualism
- Primate Behavior and Ecology
- Advanced Neuroimaging Techniques and Applications
- Multisensory perception and integration
- Qualitative Research Methods and Ethics
- Hearing, Cochlea, Tinnitus, Genetics
- Autism Spectrum Disorder Research
- Computational and Text Analysis Methods
- Personality Disorders and Psychopathology
The Scarborough Hospital
2015-2025
University of Toronto
2016-2025
Canada Research Chairs
2024
Center for the Neural Basis of Cognition
2011-2013
Carnegie Mellon University
2011-2013
Brown University
2008-2010
University of Toledo
1997
Face individuation is one of the most impressive achievements our visual system, and yet uncovering neural mechanisms subserving this feat appears to elude traditional approaches functional brain data analysis. The present study investigates code facial identity perception with aim ascertaining its distributed nature informational basis. To end, we use a sequence multivariate pattern analyses applied magnetic resonance imaging (fMRI) data. First, combine information-based mapping dynamic...
Abstract Uncovering the neural dynamics of facial identity processing along with its representational basis outlines a major endeavor in study visual processing. To this end, here, we record human electroencephalography (EEG) data associated viewing face stimuli; then, exploit spatiotemporal EEG information to determine correlates representations and reconstruct appearance corresponding stimuli. Our findings indicate that multiple temporal intervals support: classification, space estimation,...
Current research on the neurobiological bases of reading points to privileged role a ventral cortical network in visual word processing. However, properties this and, particular, its selectivity for orthographic stimuli such as words and pseudowords remain topics significant debate. Here, we approached issue from novel perspective by applying pattern-based analyses functional magnetic resonance imaging data. Specifically, examined whether, where how, elicit distinct patterns activation human...
There has been much interest in how the hippocampus codes time support of episodic memory. Notably, while rodent hippocampal neurons, including populations subfield CA1, have shown to represent passage order seconds between events, there is limited for a similar mechanism humans. Specifically, no clear evidence that human activity during long-term memory processing sensitive temporal duration information spans seconds. To address this gap, we asked participants first learn short event...
Significance The present work establishes a novel approach to the study of visual representations. This allows us estimate structure human face space as encoded by high-level cortex, extract image-based facial features from this structure, and use such for purpose image reconstruction. derivation empirical data provides an important step in elucidating nature specific content Further, integrative character sheds new light on existing concept rendering it instrumental Last, robustness...
Humans' remarkable ability to quickly and accurately discriminate among thousands of highly similar complex objects demands rapid precise neural computations. To elucidate the process by which this is achieved, we used magnetoencephalography measure spatiotemporal patterns activity with high temporal resolution during visual discrimination a large carefully controlled set faces. We also compared these data lower level "image-based" higher "identity-based" model-based representations our...
The other-race effect (ORE) refers to poorer recognition for faces of other races than one's own. This study investigates the neural and representational basis ORE in East Asian White participants using behavioral measures, decoding, image reconstruction based on electroencephalography (EEG) data. Our investigation identifies a reliable counterpart ORE, with reduced decoding accuracy faces, it relates this result higher density face representations space. Then, we characterize temporal...
A continuing question in the object recognition literature is whether surface properties play a role visual representation and recognition. Here, we examined use of color as cue facial gender by applying version reverse correlation to face categorization CIE L ∗ b space. We found that observers exploited information classify ambiguous signals embedded chromatic noise. The method also allowed us identify specific spatial locations components used observers. Although patterns with human did...
Background The variety of ways in which faces are categorized makes face recognition challenging for both synthetic and biological vision systems. Here we focus on two processing tasks, detection individuation, explore whether differences task demands lead to the features most effective automatic featural codes recruited by neural processing. Methodology/Principal Findings Our study appeals a computational framework characterizing representing object categories as sets overlapping image...
Investigations of functional (re)organization in children who have undergone large cortical resections offer a unique opportunity to elucidate the nature and extent plasticity. We report findings from 3-year investigation child, U.D., underwent surgical removal right occipital posterior temporal lobes at age 6 years 9 months. Relative controls, post-surgically, U.D. showed age-appropriate intellectual performance visuoperceptual face object recognition skills. Using fMRI five different time...
The ability to recognize faces accurately and rapidly is an evolutionarily adaptive process. Most studies examining the neural correlates of face perception in adult humans have focused on a distributed cortical network face-selective regions. There is, however, robust evidence from phylogenetic ontogenetic that implicates subcortical structures, recently, some investigations indicate as well. questions addressed here are whether low-level mechanisms for (in absence changes expression)...
Investigations into the neural basis of reading have shed light on cortical locus and functional role visual-orthographic processing. Yet, fine-grained structure representations subserving remains to be clarified. Here, we capitalize spatiotemporal electroencephalography (EEG) data examine if how EEG patterns can serve decode reconstruct internal representation visually presented words in healthy adults. Our results show that word classification image reconstruction were accurate well above...
The intention to act influences the computations of various task-relevant features. However, little is known about time course these computations. Furthermore, it commonly held that are governed by conjunctive neural representations But, support for this view comes from paradigms arbitrarily combining task features and affordances, thus requiring in working memory. Therefore, present study used electroencephalography a well-rehearsed with afford minimal memory investigate temporal evolution...
What basic visual structures underlie human face detection and how can we extract such directly from the amplitude of neural responses elicited by processing? Here, address these issues investigating an extension noise‐based image classification to BOLD recorded in high‐level areas. First, assess applicability this method data and, second, explore its results connection with processing faces. To end, construct luminance templates white noise fields based on response face‐selective areas...
Visual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this issue by reconstructing images from both perceptual and memory-based behavioural data. Specifically, our builds upon further validates hypothesis perception share common representational basis underlying facial...
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...
The concept of psychological face space lies at the core many theories recognition and representation. To date, much understanding has been based on principal component analysis (PCA); structure is thought to reflect some important aspects a physical characterized by PCA applications images. In present experiments, we investigated alternative accounts found that independent provided best fit human judgments similarity identification. Thus, our results challenge an influential approach study...
Abstract The other-race effect, a disadvantage at recognizing faces of other races than one’s own, has received considerable attention, especially regarding its wide scope and underlying mechanisms. Here, we aim to elucidate neural representational basis by relating behavioral performance in East Asian White individuals decoding image reconstruction relying on electroencephalography data. Our investigation uncovers reliable counterpart the effect (i.e., for faces) along with extended...
What is the relationship between object segmentation and recognition? First, we develop a feature method that parses faces into features and, in doing so, attempts to approximate human performance. This segmentation-based approach allows us build featural representations make explicit part-whole structure of removes priori assumptions from equation how objects come be divided features. Second, examine utility psychological plausibility this representation by applying it task facial gender...