Inference speed of all three MTL architectures—Hard parameter sharing (MH), Multi-gate Mixture-of-experts (MMoE), and Multi-gate Mixture-of-experts with Exclusivity (MMoEEx)—After training on neural data generated by a biophysically-detailed model of a cortical layer 5 pyramidal neuron model compared to the classical NEURON simulation.
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://figshare.com/articles/dataset/Inference_speed_of_all_three_MTL_architectures_Hard_parameter_sharing_MH_Multi-gate_Mixture-of-experts_MMoE_and_Multi-gate_Mixture-of-experts_with_Exclusivity_MMoEEx_After_training_on_neural_data_generated_by_a_biophysically-detailed_model_/26416631
下载链接
链接失效反馈官方服务：
资源简介：
Inference speed of all three MTL architectures—Hard parameter sharing (MH), Multi-gate Mixture-of-experts (MMoE), and Multi-gate Mixture-of-experts with Exclusivity (MMoEEx)—After training on neural data generated by a biophysically-detailed model of a cortical layer 5 pyramidal neuron model compared to the classical NEURON simulation.
创建时间：
2024-07-31
