
A neural network model inspired by the cortico-basal ganglia-thalamic (CBGT) circuits in mammalian brains learns to produce an output after accumulating evidence from a stream of observed data, providing improved accuracy and robustness in image classification tasks.


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cbgt-net-a-neuromimetic-architecture-for-robust-classification-of-streaming-data


CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data


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CBGT-Netは、哺乳類の脳に見られるコルチコ基底核視床（CBGT）回路に着想を得たニューラルネットワークモデルであり、ストリーミングデータの分類において高い精度と頑健性を提供します。
