Nelson M E, MacIver M A
Department of Molecular and Integrative Physiology and The Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, 61801, USA.
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2006 Jun;192(6):573-86. doi: 10.1007/s00359-006-0099-4. Epub 2006 Jan 28.
A defining feature of active sensing is the use of self-generated energy to probe the environment. Familiar biological examples include echolocation in bats and dolphins and active electrolocation in weakly electric fish. Organisms that utilize active sensing systems can potentially exert control over the characteristics of the probe energy, such as its intensity, direction, timing, and spectral characteristics. This is in contrast to passive sensing systems, which rely on extrinsic energy sources that are not directly controllable by the organism. The ability to control the probe energy adds a new dimension to the task of acquiring relevant information about the environment. Physical and ecological constraints confronted by active sensing systems include issues of signal propagation, attenuation, speed, energetics, and conspicuousness. These constraints influence the type of energy that organisms use to probe the environment, the amount of energy devoted to the process, and the way in which the nervous system integrates sensory and motor functions for optimizing sensory acquisition performance.
主动感知的一个决定性特征是利用自身产生的能量来探测环境。常见的生物学例子包括蝙蝠和海豚的回声定位以及弱电鱼的主动电定位。利用主动感知系统的生物体有可能对探测能量的特性进行控制,例如其强度、方向、时间和光谱特性。这与被动感知系统形成对比,被动感知系统依赖于生物体无法直接控制的外部能量源。控制探测能量的能力为获取有关环境的相关信息的任务增添了新的维度。主动感知系统面临的物理和生态限制包括信号传播、衰减、速度、能量学和显眼性等问题。这些限制影响生物体用于探测环境的能量类型、投入该过程的能量数量以及神经系统整合感觉和运动功能以优化感觉获取性能的方式。