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      MPFI’s Wang Lab Awarded $1M Grant To Study



      Mechanism Behind Memory Decline In Alzheimer’s



         Max  Planck                                     the analysis of big data, and build models to better
      Florida will be                                    explain the experimental findings.
      able  to  expand                                      “When it comes to the brain there are so many
      their  research                                    questions remaining, and the answers cannot come
      program to investigate the                         fast enough. Adding this support from the NIH
      neural  circuits  underlying                       to MPFI’s already exceptional research resources
      Alzheimer’s disease with new                       will allow us to make greater progress toward
      support. The National Institute                    understanding the role of these inputs in memory
      on Aging  of  the  National                        formation and stability,” she said.
      Institutes of Health (NIH) has                        Research reported in this publication was
      awarded Dr. Yingxue Wang                           supported by the National Institute on Aging of
      $1,038,819 over three years                        the National Institutes of Health under Award
      as part of the Alzheimer’s                         Number R01AG085899. The content is solely the
      Disease Initiative Fund. The                       responsibility of the authors and does not necessarily
      research will shed new light                       represent the official views of the National Institutes
      on how the brain forms new                         of Health.
      memories and  maintains
      them over time and what can lead to memory decline during
      Alzheimer’s disease.
         Turning our daily experiences into memories involves a
      brain region called the hippocampus. Among the many signals
      the hippocampus receives, cholinergic inputs from the basal
      forebrain are crucial for learning and memory. As we age,
      cholinergic inputs become less effective at generating a neuronal
      response and deteriorate in patients suffering from Alzheimer’s
      disease. While scientists understand that cholinergic function is
      an integral part of memory formation, exactly how it impacts
      the hippocampal circuits remains largely unknown.
         “We are excited and honored to receive this generous
      funding, which will significantly impact our ability to answer
      important questions about how we make and maintain
      memories,” said Wang. “This grant not only advances our
      research but symbolizes the collective hope that drives us to
      study this devastating condition. My lab and I are profoundly
      grateful for this trust and support.”
         As part of this project, Wang will collaborate with Dr. Alex
      Roxin of the Centre de Recerca Matematica, Spain, who will be
      funded separately by the Spanish Research Agency, AEI.
         Wang joined Max Planck Florida Institute for Neuroscience
      (MPFI) in 2018 and leads the Neuronal Mechanisms of Episodic
      Memory research group. Before that, she was a research scientist
      at the Janelia Research Campus of Howard Hughes Medical
      Institute, where she studied the hippocampal neuronal activities
      that represent memory traces.
         Trained as an electrical engineer, Wang completed her
      graduate study at the Swiss Federal Institute of Technology
      Zurich. During her Ph.D. training, she designed brain-
      inspired computational systems on silicon chips. These fully
      reconfigurable systems incorporated electronic circuits of
      a network of neurons with dendrites and synapses. Using
      these systems as simulation tools, she also investigated the
      computational principles native to a neuron with active dendrites.
         Principals of engineering greatly inform Wang’s work
      at MPFI, which combines experimental techniques with
      computational modeling, enabling the Wang lab to accelerate














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