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Name, Field, Position, Department, and Keyword |
Faculty Keywords: Cognitive Neuroscience (17), Development (21), Neuroethology (24), Neurogenesis (7), Systems Neuroscience (25), Vision (11) The relationship of development and evolution in understanding brain structure. |
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Faculty Keywords: Behavioral Neuroscience (9), Cognitive Neuroscience (17), Development (21), Individual Differences (Human) (6), Mathematical Modeling (14), Motor Systems (13), Vision (11) Professor Robertson studies the dynamic relations between mind and body during early development. Recent work focuses on visual foraging behavior in young infants using measurements of visual spatial attention (amplitude modulation of steady state visual evoked potentials), gaze (corneal reflections of stimuli), and body movement (piezoelectric sensors). Dynamical models of visual foraging are being studied in collaboration with John Guckenheimer in the Center for Applied Mathematics. The functional significance of individual differences in early movement-gaze-attention coupling is being examined in experimental studies of novelty detection and longitudinal studies of attention problems. |
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Faculty associated with: Bo Pedersen Keywords: Cognitive Neuroscience (17), Computational Neuroscience (13), Language (5), Vision (11) In my lab, we track people's eye movements and the streaming x,y coordinates of their computer-mouse movements as they perform visual and linguistic tasks. Within the theoretical framework of dynamical systems, we design localist attractor networks to simulate our data. Our findings reveal two main properties of human cognition: 1) continuos processing and graded representations in mapping sensory input to motor output, and 2) rapid interaction beteween visual and linguistic processes. Also visit my Research/Photo Gallery entry |
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Graduate Student associated with: Elise Temple Keywords: Cognitive Neuroscience (17), Development (21), Imaging (8), Social behavior (12), Systems Neuroscience (25) I am currently investigating the neurological correlates of different attention networks and how those relate to the cognitive, behavioral and social deficits persistent in Autistic Spectrum Disorders. I am interested in both structure and pathway differences between autistic and non-clinical individuals as well as typical and pathological neural development. |
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Faculty Keywords: Aging (6), Behavioral genetics (7), Behavioral Neuroscience (9), Cognitive Neuroscience (17), Development (21), Emotion (4), Hippocampus (11), Imaging (8), Individual Differences (Human) (6), Learning and Memory (13), Mathematical Modeling (14), Social behavior (12) My research focuses on memory, judgment, and decision making across the lifespan. My recent work concerns neurocognitive mechanisms of memory in normal aging and mild cognitive impairment, and how these differ from disease processes such as Alzheimer's and Parkinson's disease. In collaboration with Charles Brainerd, we apply mathematical models of memory to such tasks as recall, recognition, semantic and pragmatic inference, other higher reasoning tasks, and the Deese-Roediger-McDermott false-memory procedure. In another stream of research, our laboratory is investigating rationality and risky decision making in a variety of populations, ranging from emergency room physicians to adolescents (e.g., examining mental representations, dual processes, risk and reward pathways, impulsivity, and emotion in HIV prevention). |
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Faculty Keywords: Artificial Intelligence (3), Computational Neuroscience (13), Language (5), Mathematical Modeling (14), Systems Neuroscience (25), Vision (11) See my home page. |
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Faculty associated with: Thomas A. Cleland,   Ann Marie McNamara Keywords: Computational Neuroscience (13), Learning and Memory (13), Neuromodulation (12), Olfaction (11), Systems Neuroscience (25) I am interested the neurobiology of learning and memory and I use the sense of smell in rats, mice and honeybees as a model system. My lab uses computational, electrophysiological, pharmacological and behavioral tools to ask questions about odor processing, plasticity, neuromodulation and learning and memory. |
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Graduate Student associated with: Michael J. Spivey Keywords: Computational Neuroscience (13), Dynamical Systems (1), Language (5), Vision (11) The interplay between language and vision in processing and learning investigated through visual search, eye-tracking and connectionist modeling with an emphasis on ecological setups using video in eye-tracking experiments and corpora in simulations, and appropriate methods for analyzing such data like Transfer Entropy and Recurrent Quantification Analysis. |
Faculty associated with: Sunayana Banerjee Keywords: Bird Song (2), Development (21), Finch (4), Immediate early genes (5), Neuroendocrinology (7), Neuroethology (24), Social behavior (12), Stress (8) I am interested in neuroendocrine mechanisms of social behavior and social relationships in birds. The research seeks to answer questions such as, how are sex differences in brain and behavior produced in development? What are the mechanisms responsible for mate choice? For the formation and maintenance of long-term pair relationships in socially monogamous birds? |
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Faculty associated with: Christiane Linster,   Ann Marie McNamara Keywords: Behavioral genetics (7), Behavioral Neuroscience (9), Cognitive Neuroscience (17), Computational Neuroscience (13), Learning and Memory (13), Mathematical Modeling (14), Mouse (11), Neuromodulation (12), Neurophysiology (5), Olfaction (11), Systems Neuroscience (25) My research concerns how complex cognitive and perceptual phenomena can arise from, and be regulated by, cellular and neural circuit properties. Primarily using the sense of smell (olfaction), my students, colleagues, and I ask how learning, memory, expectation, and like processes shape the transformations performed on sensory inputs by relatively peripheral (i.e., experimentally accessible) cortical circuitry, and how these different transformations in turn influence behavior and subsequent learning. We triangulate on these questions using a range of techniques including electrophysiology, pharmacology, behavior and behavior genetics, and biophysically constrained computational modeling. |
Please report corrections, questions, comments, and problems to: Lori Miller (lmm8 AT cornell.edu)