Precise feature based time scales and frequency decorrelation lead to a sparse auditory code.
Precise feature based time scales and frequency decorrelation lead to a sparse auditory code.
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DOI：
10.1523/jneurosci.6506-11.2012
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发表时间：
2012-06-20
期刊：
影响因子：
--
通讯作者：
Escabí MA
中科院分区：
文献类型：
--
作者：
Chen C;Read HL;Escabí MA
稀疏冗余减少码已经被提出作为用于表示感觉刺激的有效策略。一个流行的假说认为，感觉表征转移从密集的冗余代码在外围的选择性稀疏代码在皮层。我们提出了一个替代框架，稀疏和冗余依赖于感觉统合的时间尺度，并证明猫的下丘（ICC）的中央核编码的声音功能的精确稀疏尖峰列车。与听觉皮层神经元的直接比较表明，ICC反应稀疏和不相关，只要穗火车的时间尺度相匹配的感觉统合的时间尺度相关的ICC神经元。有趣的是，ICC中的相关尖峰显著低于线性或非线性模型的预测，并且严格观察到神经元在“临界带”内具有最佳频率，这是哺乳动物感知频率分辨率的标志。这与贯穿ICC的大部分的稀疏异步代码和可以允许感知相关线索的分组的关键频带内的互补相关代码一致。
Sparse redundancy reducing codes have been proposed as efficient strategies for representing sensory stimuli. A prevailing hypothesis suggests that sensory representations shift from dense redundant codes in the periphery to selective sparse codes in cortex. We propose an alternative framework where sparseness and redundancy depend on sensory integration time scales and demonstrate that the central nucleus of the inferior colliculus (ICC) of cats encodes sound features by precise sparse spike trains. Direct comparisons with auditory cortical neurons demonstrate that ICC responses were sparse and uncorrelated as long as the spike train time scales were matched to the sensory integration time scales relevant to ICC neurons. Intriguingly, correlated spiking in the ICC was substantially lower than predicted by linear or nonlinear models and strictly observed for neurons with best frequencies within a “critical band,” the hallmark of perceptual frequency resolution in mammals. This is consistent with a sparse asynchronous code throughout much of the ICC and a complementary correlation code within a critical band that may allow grouping of perceptually relevant cues.