Mind, Machines & Computation

A main area of focus in cognitive science is on fundamental research concerned with understanding the nature of the cognitive processor -- of the architecture of the mind. This research, which involves both theoretical and empirical studies, is concerned with such issues as the processor's resource limits, its memory structures, the forms of representation(s) it uses, the basic operations it makes available, the discipline of sequential and/or parallel execution it permits, restrictions on interprocess communication, decomposition of the processors into modular components, and so on. These are all questions that concern the architecture of the cognitive processor, including its perceptual, memory, reasoning, and motor control capacities.

 

Affiliated Labs and Research Groups:

 

Affiliated Faculty

  • Thomas Papathomas

    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

  • Kostas Bekris

    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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    Info Page | Personal Website | PRACSYS Lab Website

  • Ahmed Elgammal

    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 PagePersonal Website | The Art and Artificial Intelligence Lab Website

  • Konstantinos Michmizos

    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 WebsiteComputational Brain Lab (COMBRA) Website

  • Vladimir Pavlovic

    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

  • Matthew Stone

    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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    Info PagePersonal Website

  • Sungjin Ahn

    Machine Learning, Deep Learning, Bayesian Learning, Reinforcement Learning, Cognitive/neuroscience-inspired learning algorithms.

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    Info Page | Personal Website

  • Bruce Tesar

    Computational models of language learning, phonology, Optimality Theory, the role of linguistics within cognitive science.

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    Info PagePersonal Website

  • Ernest Lepore

    Philosophy of language and philosophy of mind.

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    Info PagePersonal Website

  • Brian McLaughlin

    The nature of cognitive architecture, including the connectionism/classicism debate; psychosemantics and the theory of meaning for mental representations.

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    Info Page

  • Paul Pietroski

    What are meanings? How are they related to concepts, grammatical structure, logical structure, and truth?

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    Info PagePersonal Website

  • Susanna Schellenberg

    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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    Info PagePersonal Website | Mind Research Group Website

  • Stephen Stich

    Nature and viability of commonsense (or "folk") psychology, moral cognition & moral reasoning and rationality.

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    Info PagePersonal Website | Research Group on Evolution and Higher Cognition (RGEHC) Website

  • Jacob Feldman

    Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.

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    Info PagePersonal Website | Visual Cognition Lab (VCL) Website

  • Pernille Hemmer

    The influence of prior knowledge on memory and decision making in naturalistic environments.

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    Info PagePriors and Memory (PRIME) Lab Website

  • Eileen Kowler

    Study of the sensory cues, spatial representations and cognitive factors that guide patterns of smooth and saccadic eye.

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    Info PagePersonal Website | Perceptual Science Website

  • Alan Leslie

    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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    Info PageCognitive Development Laboratory (CDL) Website

  • John P. McGann

    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 PageThe McGann Laboratory on the Neurobiology of Sensory Cognition Website

  • Melchi Michel

    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

  • Manish Singh

    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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    Info PagePersonal Website

  • Nicholas Belkin

    Human interaction with information, particularly in information retrieval.

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    Info Page

  • Alex Borgida

    Development of languages and models for knowledge representation and reasoning.

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    Info PagePersonal Website

  • Elizabeth Torres

    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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    Info PageSensory Motor Integration Lab (SMIL) Website

  • Abdeslam Boularias

    Machine learning, robotics, planning and learning in partially observable domains, reinforcement learning.

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    Info Page | Robot Learning Lab Website

  • Mubbasir Kapadia

    Aims to develop agent-centric models for simulating crowd dynamics that challenge foundational assumptions in crowd modeling, while providing solutions that are validated using comparisons to real data, and virtual reality experiments. These solutions can be used to optimize the behavioral dynamics of real crowds and model the relationships between crowd flow and environment features, with applications in predictive analytics and crowd management, and environment layout design. His other research interests include real-time multi-agent planning, character animation for autonomous virtual humans, and digital storytelling.

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    Info Page | Personal Website

  • Casimir Kulikowski

    Image interpretation using planning and learning techniques; methods of theory formation for classification, configuration, planning and design problems with biomedical applications.

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    Info PagePersonal Website

  • Stephen Jose Hanson

    Research focuses on learning, categorization, connectionist models, neural networks, cognitive, mathematical and computational modeling.

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    Info PagePersonal Website | Rutgers University Brain Imaging Center (RUBIC) Website

  • Gerard De Melo

    Natural language processing, lexical semantics, deep learning, artificial intelligence, knowledge acquisition, multilingual language technology, data mining.

     

    Info PagePersonal Website

  • Michael Lewis

    Emotional development and the role of cognition. Cognition, attribution and psychopathology. Face-voice integration in ASD.

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    Info PageDr. Lewis' Wikipedia Page

  • Dimitris Metaxas

    American Sign Language and Gesture recognition from video, human identification and intent recognition from video, human computer interaction, shape and motion representation for recognition.

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    Info PagePersonal Website | Computational Biomedicine Imaging and Modeling Center Website

  • David Zald

    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

  • Shana Cole

    Social cognitive and perceptual processes involved in successful goal pursuit; self-regulation and self-control.

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    Info Page

  • Viviane Deprez

    Theoretical and comparative syntax of natural languages focusing on models of parameterization for deriving grammars from universal principles.

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    Info Page | Comparative and Experimental Linguistics Lab (CELL) Website

  • Frances Egan

    Philosophy of mind and psychology, the epistemology of science and the explanatory role of representational content in computational psychology.

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    Info Page | Personal Website

  • Arnold Glass

    Computer models of syntactic parsing and language comprehension.

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    Info Page | Personal Website

  • Lauren Goodlad

    Lauren is a specialist in interdisciplinary approaches to literature and culture, especially the long nineteenth century. As chair of the MLA's History and Literature forum she has organized a panel devoted to "Literatures of Artificial Intelligence". Her current research describes the advent of data-driven machine learning in the invention of Sherlock Holmes.

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    Info Page

  • Sunyoung Kim

    Human-Computer Interaction, interaction design, mobile and ubiquitous computing, healthcare, everyday wellbeing, environmental sustainability, behavior change

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    Info PagePersonal Website

  • Daniel Kolak

    Philosophy of Mind, Cognitive Science, Philosophy of Mathematics and Logic, Philosophy of Physics.

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    Info Page

  • Barry Loewer

    Philosophical problems concerning intentionality and consciousness; issues of non-monotonic reasoning.

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    Info Page | Personal Website