Energy landscape analysis of neuroimaging data

@article{Ezaki2017EnergyLA,
  title={Energy landscape analysis of neuroimaging data},
  author={T. Ezaki and T. Watanabe and Masayuki Ohzeki and N. Masuda},
  journal={Philosophical transactions. Series A, Mathematical, physical, and engineering sciences},
  year={2017},
  volume={375}
}
  • T. Ezaki, T. Watanabe, +1 author N. Masuda
  • Published 2017
  • Medicine, Biology, Physics
  • Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
  • Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review and develop a data-driven approach to neuroimaging data called the energy landscape analysis. The methods are rooted in statistical physics theory, in particular the Ising model, also known as the (pairwise) maximum entropy model and Boltzmann machine. The methods have been applied to fitting electrophysiological… CONTINUE READING

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