Feedback from Network States Generates Variability in a Probabilistic Olfactory Circuit
Feedback from Network States Generates Variability in a Probabilistic Olfactory Circuit
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DOI：
10.1016/j.cell.2015.02.018
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发表时间：
2015-04-09
期刊：
影响因子：
64.5
通讯作者：
Bargmann, Cornelia I.
中科院分区：
文献类型：
--
作者：
Gordus, Andrew;Pokala, Navin;Bargmann, Cornelia I.
可变性是行为的一个显著特征，也是某些行为策略的一个积极因素。为了了解神经元回路如何控制变异性，我们研究了感觉信息在C。离散的感官输入可以驱动概率行为反应。嗅觉神经元对气味刺激的反应具有快速和可靠的活性变化，但下游AIB中间神经元的反应具有概率延迟。气味的interneuron响应取决于集体活动的多个神经元-AIB，RIM和AVA-当气味刺激到达。网络的某些活动状态与对气味刺激的可靠反应相关。通过改变神经元活动来牺牲性地产生这些活动状态增加了中间神经元中气味反应的可靠性和对气味的行为反应的可靠性。感官信息与网络状态的整合可能代表了产生行为可变性的一般机制。
Variability is a prominent feature of behavior and is an active element of certain behavioral strategies. To understand how neuronal circuits control variability, we examined the propagation of sensory information in a chemotaxis circuit of C. elegans where discrete sensory inputs can drive a probabilistic behavioral response. Olfactory neurons respond to odor stimuli with rapid and reliable changes in activity, but downstream AIB interneurons respond with a probabilistic delay. The interneuron response to odor depends on the collective activity of multiple neurons-AIB, RIM, and AVA-when the odor stimulus arrives. Certain activity states of the network correlate with reliable responses to odor stimuli. Artificially generating these activity states by modifying neuronal activity increases the reliability of odor responses in interneurons and the reliability of the behavioral response to odor. The integration of sensory information with network states may represent a general mechanism for generating variability in behavior.