A Berger-Levy energy efficient neuron model with unequal synaptic weights

@article{Xing2012ABE,
  title={A Berger-Levy energy efficient neuron model with unequal synaptic weights},
  author={Jie Xing and Toby Berger and Terrence J. Sejnowski},
  journal={2012 IEEE International Symposium on Information Theory Proceedings},
  year={2012},
  pages={2964-2968}
}
How neurons in the cerebral cortex process and transmit information is a long-standing question in systems neuroscience. To analyze neuronal activity from an information-energy efficiency standpoint, Berger and Levy calculated the maximum Shannon mutual information transfer per unit of energy expenditure of an idealized integrate-and-fire (IIF) neuron whose excitatory synapses all have the same weight. Here, we extend their IIF model to a biophysically more realistic one in which synaptic… CONTINUE READING

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