A Novel Reinforcement Model of Birdsong Vocalization Learning
A Novel Reinforcement Model of Birdsong Vocalization Learning
复制标题
一种新颖的鸟鸣发声学习强化模型
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
T. Sejnowski
中科院分区：
文献类型：
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作者：
K. Doya;T. Sejnowski
鸣禽通过听觉和运动学习来学习模仿导师的歌声。我们开发了一个歌曲学习的理论框架，该框架解释了在参与歌曲学习的许多核团中观察到的神经元的反应特性。具体地说，我们认为前脑前通路为音节发声学习提供了突触扰动和适应性评估，成人的歌曲产生并不需要前脑通路，但它对歌曲的习得是必不可少的。建立了一个基于强化学习的计算机模型，该模型基于频谱测量，能够以90%的准确率复制一只真实的斑雀鸣叫。第二代鸟鸣模型以96%的准确率复制了导师的歌声。
Songbirds learn to imitate a tutor song through auditory and motor learning. We have developed a theoretical framework for song learning that accounts for response properties of neurons that have been observed in many of the nuclei that are involved in song learning. Specifically, we suggest that the anterior forebrain pathway, which is not needed for song production in the adult but is essential for song acquisition, provides synaptic perturbations and adaptive evaluations for syllable vocalization learning. A computer model based on reinforcement learning was constructed that could replicate a real zebra finch song with 90% accuracy based on a spectrographic measure. The second generation of the birdsong model replicated the tutor song with 96% accuracy.