首页> 外文期刊>Frontiers in Integrative Neuroscience >Burst Firing in a Motion-Sensitive Neural Pathway Correlates with Expansion Properties of Looming Objects that Evoke Avoidance Behaviors
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Burst Firing in a Motion-Sensitive Neural Pathway Correlates with Expansion Properties of Looming Objects that Evoke Avoidance Behaviors

机译:运动敏感的神经通路中的突发射击与引发回避行为的隐约物体的膨胀特性相关

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The locust visual system contains a well-defined motion-sensitive pathway that transfers visual input to motor centers involved in predator evasion and collision avoidance. One interneuron in this pathway, the descending contralateral movement detector (DCMD), is typically described as using rate coding; edge expansion of approaching objects causes an increased rate of neuronal firing that peaks after a certain retinal threshold angle is exceeded. However, evidence of intrinsic DCMD bursting properties combined with observable oscillations in mean firing rates and tight clustering of spikes in raw traces, suggest that bursting may be important for motion detection. Sensory neuron bursting provides important timing information about dynamic stimuli in many model systems, yet no studies have rigorously investigated if bursting occurs in the locust DCMD during object approach. We presented repetitions of 30 looming stimuli known to generate behavioral responses to each of 20 locusts in order to identify and quantify putative bursting activity in the DCMD. Overall, we found a bimodal distribution of inter-spike intervals (ISI) with peaks of more frequent and shorter ISIs occurring from 1–8 ms and longer less frequent ISIs occurring from 40–50 ms. Subsequent analysis identified bursts and isolated single spikes from the responses. Bursting frequency increased in the latter phase of an approach and peaked at the time of collision, while isolated spiking was predominant during the beginning of stimulus approach. We also found that the majority of inter-burst intervals (IBIs) occurred at 40–50 ms (or 20–25 bursts/s). Bursting also occurred across varied stimulus parameters and suggests that burst timing may be a key component of looming detection. Our findings suggest that the DCMD uses two modes of coding to transmit information about looming stimuli and that these modes change dynamically with a changing stimulus at a behaviorally-relevant time.
机译:蝗虫视觉系统包含定义明确的运动敏感路径,该路径将视觉输入传递给参与捕食者逃避和避免碰撞的运动中心。该路径中的一个中间神经元,即对侧降落运动检测器(DCMD),通常描述为使用速率编码。接近物体的边缘扩展会导致神经元放电的速率增加,超过特定的视网膜阈值角度后会达到峰值。但是,固有的DCMD爆裂特性与平均发射速率的可观察到的振荡以及原始迹线中尖峰的紧密聚集相结合的证据表明,爆裂对于运动检测可能很重要。感觉神经元爆发在许多模型系统中提供了有关动态刺激的重要时序信息,但尚无严格研究对象接近过程中蝗虫DCMD是否发生爆发的研究。我们提出了30个隐隐约约的刺激物的重复,已知这些刺激物会对20个蝗虫中的每一个产生行为反应,以便识别和量化DCMD中假定的爆发活动。总体而言,我们发现了峰值间间隔(ISI)的双峰分布,ISI的频率更高且更短出现在1–8 ms,而ISI的频率较低则更长出现在40–50 ms。随后的分析确定了突发并从响应中分离出单个峰值。突进频率在进近方法的后期增加,并在碰撞时达到顶峰,而在刺激进近的开始,孤立的尖峰占主导。我们还发现,大多数突发间隔(IBI)发生在40–50 ms(或20–25突发/ s)。爆裂也发生在不同的刺激参数上,这表明爆裂时间可能是迫在眉睫的检测的关键组成部分。我们的发现表明,DCMD使用两种编码模式来传输有关迫在眉睫的刺激的信息,并且这些模式在行为相关的时间随刺激的变化而动态变化。

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