Visual perception of motion, stereo (depth), and texture, and the development of neurophysiologically plausible computational models.
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Info Page | Personal Website | Laboratory of Vision Research (LVR) Website
Motion and task planning for autonomous robots; Integration of perception and planning for manipulating and interacting with the physical world; Coordination of multiple physical agents, including human-robot interaction.
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Computer Vision and Machine Learning; statistical models for learning visual manifolds of objects; computational models for recognition of articulated objects; computational art history.
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Info Page | Personal Website | The Art and Artificial Intelligence Lab Website
Basic Research: Computational Modeling of Sensorimotor Behavior, Psychophysics, Functional Neuroimaging
Applied research: Rehabilitation Games for children with disabilities, Robotic Neurorehabilitation
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Info Page | Personal Website | Computational Brain Lab (COMBRA) Website
Vladimir's research interests include Bayesian system modeling, time-series analysis, and statistical computer vision. More recently, his research has focused on modeling of human emotions and affect, as well as design of fast, robust, face tracking and identification systems. He is also interested in modeling and analysis of human crowd behavior from the perspective of distributed sensing and decision making systems.
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Info Page | Sequence Analysis and Modeling Lab (SEQAMLAB) Website
Reasoning systems for natural language generation and human-computer interaction; formal models of plans, context and mutual knowledge, and linguistic meaning and interpretation.
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Computer vision and graphics; computational models for object appearance and image texture with applications in pattern recognition and scene rendering; optical systems for measurements of surface appearance.
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Comparative syntax, linguistic universals, semantic roles, Amerindian and African languages.
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Formal semanticist working on scope and binding, questions and indefiniteness, focus, dynamic semantics, continuations and monads, ellipsis, and their interactions, especially interested in using insights from other disciplines (in particular, theoretical computer science) to address fundamental questions in linguistic theory.
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My main research interests span from intonational phonology to prosody production and perception, within a Laboratory Phonology approach. More recently, my work has expanded to online measures (ERP, Eyetracking) of intonation and word processing/acquisition in both in L1 and L2, aimed at unravelling the impact of individual cognitive differences in linguistic production and perception.
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Language acquisition and development, semantics, syntax-semantics interface, pragmatics, prosody, representation and processing
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Info Page | Personal Website | Laboratory for Developmental Language Studies (LDLS) Website
Computational models of language learning, phonology, Optimality Theory, the role of linguistics within cognitive science.
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I work on stuff about how rational(ish) but imperfectly informed agents like us communicate about and operate in an unpredictable world like ours full of other agents. I like proving things (if it’s not too hard) so I tend to be interested in formal models of said stuff. I also have a hobby interest in various parts of the decision sciences.
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Philosophy of language, semantics, pragmatics, and the syntax-semantics interface. I have focused on such topics as the nature of linguistic meaning, the ways meaning and context of utterance interact, and mechanisms of semantic composition and how they relate to syntax.
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Philosophy of language and philosophy of mind.
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The nature of cognitive architecture, including the connectionism/classicism debate; psychosemantics and the theory of meaning for mental representations.
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What are meanings? How are they related to concepts, grammatical structure, logical structure, and truth?
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Perceptual content and mental content more generally, attention, perceptual evidence, the relationship between the phenomenological and epistemological role of perceptual experience, the situation-dependency of perceptual experience, imagination, mental capacities.
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Nature and viability of commonsense (or "folk") psychology, moral cognition & moral reasoning and rationality.
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Neurobiology of learning and memory. Applies epigenetic, molecular, and electrophysiological techniques in animals to understand the basis of associative learning and memory determined by behavior; combines sensory neurophysiology (in the auditory system) with behavioral neuroscience to study how memory and perception intertwine.
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Info Page | Cortex Learning Epigenetics & Function (CLEF) Lab Website
Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.
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Info Page | Personal Website | Visual Cognition Lab (VCL) Website
The influence of prior knowledge on memory and decision making in naturalistic environments.
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Study of the sensory cues, spatial representations and cognitive factors that guide patterns of smooth and saccadic eye.
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Conceptual development and the representation of the physical world, of Agency, and of "theory of mind" in infants and preschoolers; also their impairment in autism.
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Professor/RuCCS Faculty Director
Research in my laboratory employs neurophsyiological, behavioral, and theoretical methods to explore how humans and rodent models learn information about the world and apply this knowledge to the neural processing of incoming sensory stimuli. We are also interested in how dysfunction in these processes could manifest in mental and neurological disorders.
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Info Page | The McGann Laboratory on the Neurobiology of Sensory Cognition Website
Study of visual search and saccadic eye movements, short-term visual memory, perceptual learning and cue integration. Formal computational and ideal observer modeling of visual tasks and of population coding in visual cortex
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Info Page | Computational Vision & Psychophysics Lab Website
Specializes in psycholinguistics and research focuses on language acquisition and language processing.
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Info Page | Personal Website | Human Computational Cognition Lab
Formal and empirical study of visual object and surface representations. Part-based description of object shape; Computation of surface structure under partial occlusion and transparency; Visual attention.
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Language acquisition and learnability theory; the cognitive and neural bases of language, language acquisition, and language processing; studies of sentence processing using neuroimaging.
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Info Page | Personal Website | Language Acquisition and Processing Lab (LAPL) Website
My interest lies in the study of voluntary actions in general and the emergence of symbolic intelligence from them. In particular, I have been studying natural voluntary arm movements in the context of reaching for and grasping an object, obstacle avoidance, the acquisition and retrieval of a motor program, and more recently on the performance of a parietal patient and of patients with Parkinson's disease. I am also doing research on autism.
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Neuroethology. Using behavioral, neurophysiological, and anatomical methods in songbirds to study sensory and motor processes that subserve vocal learning, including auditory memory, perception, and production of learned vocalizations.
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Jenny Wang investigates the origins of our knowledge, how we master complicated concepts (such as mathematics), and how we learn about the world around us.
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Research focuses on learning, categorization, connectionist models, neural networks, cognitive, mathematical and computational modeling.
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Info Page | Personal Website | Rutgers University Brain Imaging Center (RUBIC) Website
Emotional development and the role of cognition. Cognition, attribution and psychopathology. Face-voice integration in ASD.
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Affective neuroscience, the interaction of emotion with attention and decision-making, and the neural substrates of these functions in both health and neuropsychiatric illness.
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Info Page | Center for Advanced Human Brain Imaging Research Website
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