- Published: Friday, 23 March 2012 11:02
Perception is the process by which sensory cues are integrated to form a model of the world. Participating faculty come from Psychology, Computer Science, Philosophy, Biomedical Engineering, and the Biomedical and Health Sciences. Key research topics include computer vision, human psychophysics, visuomotor integration, philosophy of perception, and neuroscience. Collaborations among faculty and student researchers across this diverse array of topics and disciplines have contributed to the emergence of novel approaches, as well as to the formation of a stable and interactive community of perceptual scientists.
The interdisciplinary Perceptual Science Group was formally formed in 2006 with the support of an Integrative Graduate Education and Training Program (IGERT) from the National Science Foundation. The program supported more than 40 trainees, with graduates going on to careers in academics and industry. Perceptual Science integrates computational modeling and experiments across Psychology and Computer Science. It remains a major component of research and training at RuCCS, with frequent seminars and colloquia, as well as our annual Perceptual and Cognitive Science Forum.
Students are encouraged to take advantage of the opportunities to gain foundational training in both Computer Science and Psychology, and to embark on collaborative research across other areas. Opportunities are available for interdisciplinary team projects with fellow students by taking the novel course Integrative Methods in Perceptual Science, developed with support from NSF.
Affiliated Labs and Research Groups
- Perceptual Science Group
- [Dr. Kostas Bekris] PRACSYS Lab
- [Dr. Ahmed Elgammal] The Art and Artificial Intelligence Lab
- [Dr. Jacob Feldman] Visual Cognition Laboratory
- [Dr. Eileen Kowler] Perceptual Science
- [Dr. John McGann] The McGann Laboratory on the Neurobiology of Sensory Cognition
- [Dr. Melchi Michel] Computational Vision & Psychophysics Lab
- [Dr. Konstantinos Michmizos] Computational Brain Lab (COMBRA)
- [Dr. Vladimir Pavlovic] Sequence Analysis and Modeling Lab (SEQAMLAB)
- [Dr. Thomas Papathomas] Lab of Vision Research
- [Dr. Susana Schellenberg] Mind Research Group
- [Dr. Steve Silverstein] Rutgers-Princeton Center for Cognitive Neuropsychiatry
- [Dr. Manish Singh] Perceptual Science
- [Dr. Elizabeth Torres] Sensory Motor Integration Lab (SMIL)
- [Dr. David Vicario] Vicario Lab
Meet Our Core Faculty:
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.
Basic Research: Computational Modeling of Sensorimotor Behavior, Psychophysics, Functional Neuroimaging
Applied research: Rehabilitation Games for children with disabilities, Robotic Neurorehabilitation
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.
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.
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.
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
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.
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.
Retinal structure and function, perceptual organization, and training of visual processes in schizophrenia.