Figure 4 | Scientific Reports

Figure 4

From: Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks

Figure 4

(a) The test accuracy with the number of iterations in the learning procedure of DNN-based neuron classification. (b) The loss curves in the test procedure of the DNN-based model. (c) The IDs and names of 12 subclasses of neuron types. (d) The performance of DNN-based models and other compared models on different types of datasets. (e) The confusion matrix, which shows the error classification in the 12-class identification. (f) The t-SNE distribution for the 2-class DNN-based features. (g) The t-SNE distribution for the 12-class DNN-based features.

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