Optic flow representation in the optic lobes of Diptera: modeling innervation matrices onto collators and their evolutionary implications.

Optic flow representation in the optic lobes of Diptera: modeling innervation matrices onto collators and their evolutionary implications.
复制标题

双翅目视叶中的光流表示:对整理器上的神经支配矩阵进行建模及其进化意义。

DOI:
10.1007/s003590000132
复制
发表时间:
2000
期刊:
Journal of comparative physiology. A, Sensory, neural, and behavioral physiology
影响因子:
--
通讯作者:
Strausfeld,NJ
Strausfeld,NJ
中科院分区:
--
文献类型:
--
作者:
Douglass,JK;Strausfeld,NJ

文献摘要

相似文献

基于运动处理神经元的生理和解剖特征的光流处理网络模型用于研究模拟 T5 细胞的小视场运动检测器在宽视场整理神经元中产生光流选择性特性的作用。施加不同的连接可以模拟双翅目小叶板结构比较研究中观察到的变化。结果确定了对于光流选择性至关重要的两个特征:从运动检测器到整理器的突触连接空间模式的广度,以及兴奋性和抑制性突触输出的相对贡献。如果神经支配矩阵的这两方面得到适当的平衡,网络对小场运动探测器生理特性扰动的敏感性就会大大降低,这表明感觉系统可以进化出不依赖于网络参数精确控制的稳健机制。这些结果还表明,在昆虫中观察到的替代小叶板结构在允许广域神经元中的光流选择性特性方面是一致的。讨论了光流选择性神经元进化的影响。
A network model of optic flow processing, based on physiological and anatomical features of motion-processing neurons, is used to investigate the role of small-field motion detectors emulating T5 cells in producing optic flow selective properties in wide-field collator neurons. The imposition of different connectivities can mimic variations observed in comparative studies of lobula plate architecture across the Diptera. The results identify two features that are crucial for optic flow selectivity: the broadness of the spatial patterns of synaptic connections from motion detectors to collators, and the relative contributions of excitatory and inhibitory synaptic outputs. If these two aspects of the innervation matrix are balanced appropriately, the network's sensitivity to perturbations in physiological properties of the small-field motion detectors is dramatically reduced, suggesting that sensory systems can evolve robust mechanisms that do not rely upon precise control of network parameters. These results also suggest that alternative lobula plate architectures observed in insects are consistent in allowing optic flow selective properties in wide-field neurons. The implications for the evolution of optic flow selective neurons are discussed.