MAR 11, 2020 9:00 AM PDT

PANEL: Neural circuit mechanisms of memory replay

Presented at: Neuroscience 2020
C.E. Credits: P.A.C.E. CE Florida CE
  • Biggs Professor of Neuroscience, NYU School of Medicine
      György Buzsáki is Biggs Professor of Neuroscience at New York University. His main focus is "neural syntax", i.e., how segmentation of neural information is organized by the numerous brain rhythms to support cognitive functions. He is among the top 1% most-cited neuroscientists, elected member of the National Academy of Sciences USA, Academiae Europaeae and the Hungarian Academy of Sciences. He sits on the editorial boards of several leading neuroscience journals, including Science and Neuron, honoris causa at Université Aix-Marseille, France and University of Kaposvar, Hungary and University of Pécs, Hungary. He is a co-recipient of the 2011 Brain Prize. (Books: G. Buzsáki, Rhythms of the Brain, Oxford University Press, 2006; The Brain from Inside Out, OUP, 2019)
    • Professor of Neuroscience in the Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University
        Attila Losonczy is a Professor of Neuroscience in the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University, New York. Dr. Losonczy's research is aimed to uncover neuronal mechanisms of learning and memory by linking synaptic, cellular and microcircuit processes with memory behaviors in the mammalian hippocampus. In order to so, his research uses largescale functional imaging in combination with electrophysiology, cell-type specific manipulations and computational modeling. His research has been supported by awards from the NIH, the McKnight Foundation, the Searle Foundation, the Kavli-Simons Foundation, and the Zegar Foundation. Currently, he is part of a team that aims to understand mechanism of memory replay.
      • Professor, Departments of Biology & Applied Physics Investigator, Howard Hughes Medical Institute Stanford University
          Mark Schnitzer is an HHMI Investigator and a Professor in Stanford's Departments of Applied Physics & Biology. His work has focused on the innovation and usage of novel optical imaging technologies for understanding how large neural ensembles control animal behavior. In the past 10 years, his lab has innovated several technologies now commercially available, including tiny microscopes small enough to be mounted on the head of a freely moving mouse (Nat. Methods, 2011). This technology won The Scientist's Top Innovation of 2013 and is presently used by hundreds of neuroscience labs worldwide in the USA, Asia and Europe. Schnitzer was a member of the NIH BRAIN Initiative Advisory Committee that wrote the NIH BRAIN 2025 report. His lab uses his optical inventions extensively to study neural circuits, with research interests centering on the understanding of large-scale circuit dynamics underlying cognition and long-term memory, across multiple brain areas and in brain disease.
        • Professor, Stanford University
            Ivan Soltesz Ph.D. is the James R. Doty Professor of Neurosurgery & Neurosciences at Stanford University School of Medicine. He received his doctorate in Budapest, and conducted postdoctoral research at Oxford, London, Stanford and Dallas. He established his laboratory at the University of California Irvine where he served as department Chair till his return to Stanford. His research focuses on control of inhibitory signaling in brain circuits and the mechanistic bases of circuit dysfunction in epilepsy. He is the author of the book "Diversity in the Neuronal Machine" and the recipient of the Javits Neuroscience Investigator Award, the Michael Prize, and the Research Recognition Award from the American Epilepsy Society.


          Although neuroscience has provided a great deal of information about how neurons work, the fundamental question of how neurons function together in a network to produce cognition has been difficult to address. Our BRAIN team, consisting of four collaborating laboratories at NYU, Columbia and Stanford, aims to make the first attempt to fully understand a cognitively important event, called memory replay, in terms of the detailed properties of the brain cells involved. We use cutting-edge largescale recording technologies to study and manipulate identified brain cell types in behaving animals, and we will construct the first full-scale computational of model of the brain area that produces the memory replay in which every cell is explicitly simulated. These powerful new approaches are likely to yield major insights into the principles by which the interactions of neurons give rise to cognitive function, with important implications for memory disorders.

          Learning Objectives:

          1. Define hippocampal ripple-related memory replay

          2. Identify novel large-scale recording and modeling techniques used to study the cells and circuits generating ripples

          3. Discuss advances in our understanding of the mechanisms and routing of ripple content

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