Retreat 2005

Computational Neuroscience Center

The Computational Neuroscience Center is dedicated to combining biophysically inspired neural modeling, and rigorous statistical techniques with the myriad neural imaging technologies available at the Martinos Center in order to enhance the understanding of neural function. The core tenet of the group is that neuroscientific theory and experiment should be performed in tandem, with each informing, and benefiting from the insights of, the other. Group members come from backgrounds as diverse as physics, mathematics, computer science, statistics, engineering, neuroscience and clinical neurology. Our group is exceptional in that many of the individual members are trained both as theorists and experimentalists. At the Martinos Center, we have access to both world-class imaging technologies, as well as cutting-edge computational resources. These tools tools allow us to both develop and implement new models in computational neuroscience and then obtain corroborating evidence with non-invasive imaging. In addition, our unique position within MGH allows us access to clinical populations from which we can enhance our understanding of neural pathologies. Current collaborations include:

  • Biophysically modeling the neural generation of EEG/MEG current dipoles
  • Development of statistical methods suitable for multiple spike train analysis
  • Modeling the cortical hemodynamic response and its generation by neural activity
  • Analyzing, using synchrony and Granger causality, the communication between different cortical regions
  • Quantifying the representation and transformation of tactile stimuli in the rat somatosensory pathway using information theoretic aproaches
  • Clarifying the influence of internally generated cortical states on the neural response to sensory stimuli
  • Acutely predicting tissue infarction using neuroimaging in stroke patients
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