Abstract
Among the theories of neural information coding, the neural energy coding is more accessible to global coding features than traditional neural encoding. According to the shortcomings existing in the neuronal energy model, that is, the non-smooth nature of the energy curve, we proposed an improved neuronal energy model in this paper. The modified energy model is a good choice for establishment of the global model of brain function. And it is also the basis of energy calculation for functional cognitive neural networks in the future.
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This work is supported by the National Natural Science Foundation of China under (Grant Nos. 11232005, 11472104, 61633010 and 61473110).
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Wang, Y., Wang, R. An improved neuronal energy model that better captures of dynamic property of neuronal activity. Nonlinear Dyn 91, 319–327 (2018). https://doi.org/10.1007/s11071-017-3871-9
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DOI: https://doi.org/10.1007/s11071-017-3871-9