Abstract
The ability of the connection between two neurons (synapse) to change in strength in response to neural activity is known as synaptic plasticity. Experimental data has shown that synaptic plasticity can depend upon the relative timings of pre- and postsynaptic neuron spikes – this is known as spike-timing-dependent plasticity (STDP). It is proposed that the traditional IF model with STDP can simulate the natural properties of biological neuron much better. This paper proposes a new algorithm based on the IF model with STDP, and simulated in MATLAB. Experimental results have indicated that algorithm can reflect the performance of nerve cells and has a better bionic function.
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Liu, X., Zuo, Y. (2016). A Simplified Algorithm Based on IF Model. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2016. IDEAL 2016. Lecture Notes in Computer Science(), vol 9937. Springer, Cham. https://doi.org/10.1007/978-3-319-46257-8_1
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DOI: https://doi.org/10.1007/978-3-319-46257-8_1
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