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Predicting spikes with artificial neural network

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References

  1. Bean B P. The action potential in mammalian central neurons. Nat Rev Neurosci, 2007, 8: 451–465

    Article  Google Scholar 

  2. Hodgkin A L, Huxley A F. A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol, 1952, 117: 500–544

    Article  Google Scholar 

  3. Sun Y, Zhou D, Rangan A V, et al. Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulation. J Comput Neurosci, 2009, 27: 369–390

    Article  MathSciNet  Google Scholar 

  4. Ermentrout B. Linearization of F-I curves by adaptation. Neural Comput, 1998, 10: 1721–1729

    Article  Google Scholar 

  5. Fohlmeister J F, Miller R F. Impulse encoding mechanisms of ganglion cells in the tiger salamander retina. J NeuroPhysiol, 1997, 78: 1935–1947

    Article  Google Scholar 

  6. Gouwens N W, Zeberg H, Tsumoto K, et al. Synchronization of firing in cortical fast-spiking interneurons at Gamma frequencies: a phase-resetting analysis. PLoS Comput Biol, 2010, 6: e1000951

    Article  MathSciNet  Google Scholar 

  7. Wang X J, Buzsáki G. Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. J Neurosci, 1996, 16: 6402–6413

    Article  Google Scholar 

  8. Golomb D, Yue C, Yaari Y. Contribution of persistent Na+ current and M-type K+ current to somatic bursting in CA1 pyramidal cells: combined experimental and modeling study. J NeuroPhysiol, 2006, 96: 1912–1926

    Article  Google Scholar 

  9. Golomb D, Donner K, Shacham L, et al. Mechanisms of firing patterns in fast-spiking cortical interneurons. PLoS Comput Biol, 2007, 3: e156

    Article  MathSciNet  Google Scholar 

  10. Rothman J S, Manis P B. The roles potassium currents play in regulating the electrical activity of ventral cochlear nucleus neurons. J NeuroPhysiol, 2003, 89: 3097–3113

    Article  Google Scholar 

  11. Gai Y, Doiron B, Kotak V, et al. Noise-gated encoding of slow inputs by auditory brain stem neurons with a low-threshold K+ current. J NeuroPhysiol, 2009, 102: 3447–3460

    Article  Google Scholar 

  12. Traub R D, Miles R. Neuronal networks of the hippocampus. Cambridge: Cambridge University Press, 1991

    Book  Google Scholar 

Download references

Acknowledgements

This work was supported by Beijing Municipal Commission of Science and Technology (Grant No. Z171100000117018), and Communication University of China (Grant Nos. 313XNG1531, 3132017XNG1724).

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Authors and Affiliations

  1. Neuroscience and Intelligent Media Institute, Communication University of China, Beijing, 100024, China

    Lihong Cao, Jiamin Shen, Lei Wang & Ye Wang

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  1. Lihong Cao
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  2. Jiamin Shen
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  3. Lei Wang
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  4. Ye Wang
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Correspondence to Lihong Cao.

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Cao, L., Shen, J., Wang, L. et al. Predicting spikes with artificial neural network. Sci. China Inf. Sci. 61, 060428 (2018). https://doi.org/10.1007/s11432-017-9379-4

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