Neural Mechanisms Underlying Direction-Selective Avoidance Behavior

Neural Mechanisms Underlying Direction-Selective Avoidance Behavior
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方向选择性回避行为背后的神经机制

DOI:
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发表时间:
1993
期刊:
影响因子:
1.6
通讯作者:
M. Arbib
M. Arbib
中科院分区:
计算机科学4区
文献类型:
--
作者:
Jim;M. Arbib

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避免隐约出现的物体(可能的捕食者)对于动物的生存至关重要。本文提出了一个神经网络模型来解释迫在眉睫的刺激的检测和响应。适当反应的生成包括五个任务:检测迫在眉睫的刺激、刺激位置的定位、刺激运动方向的计算、逃逸方向的确定以及适当的运动动作的选择。对迫在眉睫的刺激的检测是基于视网膜图像和深度信息的扩展来实现的。刺激的空间位置由神经元群编码。通过监测该群体中神经元活动峰值的变化来计算迫在眉睫的刺激的方向。编码刺激位置的信号由方向选择性神经元门控到运动航向图上,该运动航向图指定了逃生方向。正确动作的选择是通过不同组运动神经元之间的竞争来实现的。该模型基于青蛙和蟾蜍躲避捕食者的分析,但对哺乳动物视觉系统进行了比较分析。
Avoiding looming objects (possible predators) is essential for animals'survival. This article presents a neural network model to account for the detection of and response to a looming stimulus. The generation of an appropriate response includes five tasks: detection of a looming stimulus, localization of the stimulus position, computation of the direction of the stimulus movement, determination of escape direction, and selection of a proper motor action. The detection of a looming stimulus is achieved based on the expansion of the retinal image and depth information. The spatial location of the stimulus is encoded by a population of neurons. The direction of the looming stimulus is computed by monitoring the shift of the peak of neuronal activity in this population. The signal encoding the stimulus location is gated by the direction- selective neurons onto a motor heading map, which specifies the escape direction. The selection of a proper action is achieved through competition among different groups of motor neurons. The model is based on the analysis of predator-avoidance in frog and toad but leads to a comparative analysis of mammalian visual systems.
DOI: 10.1146/annurev.ne.13.030190.001521
发表时间: 1990
影响因子: 13.9
作者:
Sparks,DL;Mays,LE
通讯作者: Mays,LE
青蛙和蟾蜍的捕食和躲避捕食者:定义模式。
DOI: 10.1016/s0022-5193(05)80612-5
发表时间: 1992
影响因子: 2
作者:
Cobas,A;Arbib,M
通讯作者: Arbib,M
DOI: 10.1016/s0079-6123(08)63419-6
发表时间: 1986
影响因子: --
作者:
Cohen,B;Waitzman,DM;Buttner-Ennever,JA;Matsuo,V
通讯作者: Matsuo,V