Lockery S R, Sejnowski T J
Institute of Neuroscience, University of Oregon, Eugene 97403.
Trends Neurosci. 1993 Jul;16(7):283-90. doi: 10.1016/0166-2236(93)90183-m.
The local bending reflex of the leech computes a well-defined sensorimotor input-output function in which each of several unique patterns of sensory input elicits a unique pattern of motoneuron activity. Interneurons in the reflex respond to most input patterns and contribute to most motor patterns, suggesting a distributed processing mechanism for the reflex. This suggestion is supported by models in which connection strengths are adjusted by a neural network optimization algorithm to reproduce the local bending input-output function. In addition, computational parallels between the local bending network and the perceptron, a major class of artificial neural networks, brings the functional role of local bending interneurons into question and suggests new physiological experiments.
水蛭的局部弯曲反射计算出一种明确的感觉运动输入-输出函数,其中几种独特的感觉输入模式中的每一种都会引发运动神经元活动的独特模式。反射中的中间神经元对大多数输入模式做出反应,并对大多数运动模式有贡献,这表明该反射存在分布式处理机制。这一观点得到了一些模型的支持,在这些模型中,连接强度通过神经网络优化算法进行调整,以重现局部弯曲输入-输出函数。此外,局部弯曲网络与作为主要人工神经网络类型之一的感知器之间的计算相似性,引发了对局部弯曲中间神经元功能作用的质疑,并提出了新的生理学实验。