Cognitive Neuroscience is the study of biological processes that underlie cognition, with specific emphasis on the brain, its neural connections, and how they related to mental functioning. Our faculty research the more microscopic mechanisms studied in cellular biology, biochemistry, and genetics. Several of our faculty relates cognitive theories to data collected from clinical neurology and other patient populations.

 

Affiliated Faculty

  • Anna Konova

    Dept. of Psychiatry

    Clinical translational neuroscience of addiction, brain imaging, decision neuroscience, computational psychiatry

    Konova Lab Website

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  • Arnold Glass

    Computer models of syntactic parsing and language comprehension.

    Learning & Memory Laboratory | Personal Website

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  • Casimir Kulikowski

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

     

    Personal Website

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  • David Margolis

     

    Sensory processing, decision-making, and neural plasticity in mice. Record and manipulate specific neurons and neural circuits as mice perform learned tactile behaviors to understand sensory-guided decision-making from the synaptic to the network levels. We are also interested in how brain injury and neurological disorders impact neuronal activity and behavior.

    Margolis Lab Website

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  • David Vicario

    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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    Vicario Lab Website

  • David Zald

    RBHS/Brain Health Institute

    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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    Center for Advanced Human Brain Imaging Research Website

  • 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.

    Computational Biomedicine Imaging and Modeling Center Website

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  • 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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    Sensory Motor Integration Lab (SMIL) 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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    Personal Website

  • Jenny Wang

    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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    Personal Website

  • John P. McGann

    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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     The McGann Laboratory on the Neurobiology of Sensory Cognition Website

  • Karin Stromswold

    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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    Personal WebsiteLanguage Acquisition and Processing Lab (LAPL) Website

  • Kasia M. Bieszczad

    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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    Cortex Learning Epigenetics & Function (CLEF) Lab Website

  • Kelvin Y. Kwan

    Molecular mechanisms underlying sensory and cognitive function in mouse models of human diseases. The lab is interested in understanding how mutations in chromatin remodeling proteins results in hyperactivity and circling behavior in mutant mice. Identifying transcriptome changes in affected neurons by deep sequencing will help us understand how the activity and development of these neurons have been altered. Our goal is to bridge the molecular changes in neurons to the abnormal behavior observed in these mouse models.

    Kwan Lab Website

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  • 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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    Computational Brain Lab (COMBRA) Website

  • Max Tischfield

    Our lab models human neurodevelopmental disorders in mouse with a particular focus on Tourette Syndrome (TS). Despite the prevalence of TS in the general population (~1/100 individuals), the underlying pathophysiology is poorly understood. We are currently using CRISPR-based approaches to generate mouse models that harbor recently discovered human point mutations found in sporadic forms of TS. With these disease mouse models, we are investigating how circuit development and function in the brain are perturbed by the human mutations using a combination of mouse genetics, circuit labeling techniques, optogenetics, electrophysiology, and mouse behavior. Additionally, the mouse models will provide powerful tools for drug screening approaches that can inform complementary studies with human iPSC lines.

    Max Tischfield Lab Website

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  • 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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    Computational Vision & Psychophysics Lab Website

  • Stephen Jose Hanson

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

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    Rutgers University Brain Imaging Center (RUBIC) Website

  • Victoria Abraira

    Trying to understand the cellular and synaptic substrates underlying innocuous touch perception by elucidating the functional organization of sensory neurons in mouse hairy skin and uncovering the neural codes of touch perception in the spinal cord dorsal horn.

    Abraira Lab Website Lab Website

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Cortex Learning Epigenetics & Function (CLEF) Lab