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Event Category: MindCORE Seminar Series

  • Category MindCORE Seminar Series
  • From January 1, 2018
  • To October 29, 2020

David Barner Department of Psychology University of California, San Diego   Linguistic origins of uniquely human abstract concepts   Humans have a unique ability to organize experience via formal systems for measuring time, space, and number. Many such concepts – like minute, meter, or liter – rely on arbitrary divisions of phenomena using a system […]

Robert Hamilton Co-Founder & Chief Scientific Officer Neural Analytics, Inc.   Applying Machine Learning & Medical Robotics for Cerebral Hemodynamic Assessment   Neural Analytics is advancing brain health management by developing and commercializing an autonomous, non-invasive, point-of-care diagnostic modality. We are combining robotics, ultrasound, and machine learning to measure and assess blood flow in the […]

R. Alison Adcock Department of Biological Psychiatry Duke University   Motivations to Learn: Neural Contexts and Their Regulation   Dopamine and other neuromodulators associated with motivation regulate neural plasticity and dynamically configure brain networks during learning, offering potential to enhance learning outcomes. Research in the Adcock laboratory has systematically characterized diverse motivational states related to […]

Felipe De Brigard Department of Philosophy Department of Psychology and Neuroscience Center for Cognitive Neuroscience Duke Institute for Brain Sciences Duke University   Varieties of counterfactual thinking   Our capacity to imagine alternative ways in which reality could have been is known as counterfactual thinking. However, recent evidence suggest that this cognitive ability is not […]

Mark Histed Unit on Neural and Computational Behavior NIMH   Cortical sensory processing at the single neuron level: circuits, computations, and behavior   During any behavior, many thousands or millions of neurons in the brain change their activity. To understand how the brain controls behaviors, it is important to identify the computational steps required, and […]