图 书 馆开课单位--罗彻斯特大学
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1Compressive neural representation of sparse, high-dimensional probabilities[稀疏，高维概率的压缩神经表示]
Xaq Pitkow(罗彻斯特大学) This paper shows how sparse, high-dimensional probability distributions could be represented by neurons with exponential compression. The representati...
热度：82
Xaq Pitkow(罗彻斯特大学) This paper shows how sparse, high-dimensional probability distributions could be represented by neurons with exponential compression. The representati...
热度：82
2Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models[具有概率人口代码和主题模型的神经回路中的复杂推理]
Jeff Beck(罗彻斯特大学) Recent experiments have demonstrated that humans and animals typically reason probabilistically about their environment. This ability requires a neura...
热度：66
Jeff Beck(罗彻斯特大学) Recent experiments have demonstrated that humans and animals typically reason probabilistically about their environment. This ability requires a neura...
热度：66
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