Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model

Cunle Qian1, Xuyun Sun2, Shaomin Zhang3

  • 1College of Computer Science, Zhejiang University, Hangzhou, 310027, China qiancunle@zju.edu.cn.

Neural Computation
|October 14, 2018
PubMed
Summary

A new staged point-process model captures nonlinear interactions between input neurons more effectively than generalized linear models (GLMs). This advanced model, inspired by artificial neural networks, improves spike train prediction accuracy and uses fewer parameters.

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