首页> 外文会议>Computational Intelligence for Multimedia Signal and Vision Processing, 2009. CIMSVP '09 >Maximizing neural responses leads to sensori-motor coordination of binocular vergence
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Maximizing neural responses leads to sensori-motor coordination of binocular vergence

机译:最大化神经反应导致双眼散瞳的感觉运动协调

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We present a simple optimization criterion based on the neural representation of the depth in the mammalian visual cortex that leads to self organization of a sensori-motor feedback loop. We study an active stereo vision system where the vergence angle between the two eyes is controlled by the output of a population of disparity selective neurons. We show that finding a control policy that maximizes the total response across an entire population of disparity selective neurons results in a system that automatically learns to track a target as it moves in depth. We characterized the tracking performance of the resulting policy using objects moving both sinusoidally and randomly in depth. The closed loop 3 dB tracking bandwidth of the system was 0.3 Hz.
机译:我们提出了一种基于哺乳动物视觉皮层深度的神经表示的简单优化标准,这导致了感觉运动反馈回路的自我组织。我们研究了一种主动的立体视觉系统,其中两只眼睛之间的发散角由视差选择性神经元群体的输出控制。我们表明,找到一种控制策略,可以使整个视差选择性神经元总体上的总响应最大化,从而形成一个系统,该系统可以自动学习跟踪目标的深度。我们使用正弦曲线和深度随机移动的对象来表征由此产生的策略的跟踪性能。系统的闭环3 dB跟踪带宽为0.3 Hz。

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