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首页> 外文会议>Computational Neuroscience Meeting (CNS'01) Jul, 2001 Monterey, California >Modeling temporal combination selective neurons of the songbird
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Modeling temporal combination selective neurons of the songbird

机译：对鸣禽的时间组合选择性神经元建模

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摘要

Some neurons in the nucleus HVc of the songbird respond vigorously to sequences of syllables as they appear in the bird's own song (such as AB), but they respond weakly or not at all when the same syllables are played individually (A or B) or in a different order (BA). We have constructed a network model that replicates this temporal sequence selectivity. The model is based on recurrently connected networks that produce strong resonant responses when the pattern of excitation evoked by a stimulus matches the pattern of excitation generated internally within the network. In the model, syllable B does not generate such a resonant response by itself. However, if syllable A is presented to the network followed by syllable B, the activity generated by A modifies the effective connectivity of the network making it resonantly responsive to B. This produces a highly selective response to the sequence of syllables AB, but not to any other combination.
机译：鸟的HVc核中的某些神经元对音节序列的反应强烈，就像它们出现在鸟的歌曲中一样（例如AB），但是当单独播放相同的音节（A或B）或以不同的顺序（BA）。我们构建了一个网络模型来复制此时间序列选择性。该模型基于循环连接的网络，当刺激引起的激励模式与网络内部内部产生的激励模式匹配时，该网络会产生强烈的共振响应。在模型中，音节B本身不会产生这种共振响应。但是，如果将音节A和音节B依次出现在网络中，则A产生的活动会修改网络的有效连通性，使其对B产生共振响应。这会对音节AB的序列产生高度选择性的响应，但对音节AB的序列却没有响应。任何其他组合。

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