Synaptic information transfer in computer models of neocortical columns

  title={Synaptic information transfer in computer models of neocortical columns},
  author={Samuel A. Neymotin and Kimberle M. Jacobs and Andr{\'e} Antonio Fenton and William W. Lytton},
  journal={Journal of Computational Neuroscience},
Understanding the direction and quantity of information flowing in neuronal networks is a fundamental problem in neuroscience. Brains and neuronal networks must at the same time store information about the world and react to information in the world. We sought to measure how the activity of the network alters information flow from inputs to output patterns. Using neocortical column neuronal network simulations, we demonstrated that networks with greater internal connectivity reduced input… CONTINUE READING
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