Error component scores corresponding to the best parameters found by the Covariance Matrix Adaptation Evolution Strategy (CMAES) and Random Search algorithms in Use Case 4 (simplified active model).
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下载链接：
https://figshare.com/articles/dataset/Error_component_scores_corresponding_to_the_best_parameters_found_by_the_Covariance_Matrix_Adaptation_Evolution_Strategy_CMAES_and_Random_Search_algorithms_in_Use_Case_4_simplified_active_model_/28086601
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资源简介：
The features used for this problem are mean squared error (excluding spikes), spike count, latency to first spike, action potential amplitude, action potential width, and after-hyperpolarization depth.
(XLSX)
创建时间：
2024-12-23
