Skandari Roghieh, Iino Yuichi, Manton Jonathan H
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:965-968. doi: 10.1109/EMBC.2016.7590862.
In this work we will work on analogue signal processing in the neural circuit of C. elegans which is able to detect the analogue signals from the environment and produce locomotive behaviours which are in accordance with experiments. The signals in C. elegans are processed in a purely analogue procedure, since no action potential has been recorded in its neural activity. We aim to show how signal processing can be executed in analogue domain in a living creature. In order to do that we will model two different behaviours of C. elegans which are generated in the same network of neurons, klinotaxis behaviour and isothermal tracking. We will implement a Genetic Algorithm to find appropriate sets of parameters of the model. Our contribution is to show how relatively straight forward differential equations can lead to relatively complex and different behaviours.
在这项工作中，我们将研究秀丽隐杆线虫神经回路中的模拟信号处理，该神经回路能够检测来自环境的模拟信号，并产生与实验相符的运动行为。秀丽隐杆线虫中的信号以纯模拟过程进行处理，因为在其神经活动中未记录到动作电位。我们旨在展示信号处理如何在生物体内的模拟域中执行。为了做到这一点，我们将对秀丽隐杆线虫在同一神经元网络中产生的两种不同行为进行建模，即斜趋性运动行为和等温跟踪。我们将实施遗传算法来找到模型的合适参数集。我们的贡献在于展示相对简单的微分方程如何导致相对复杂且不同的行为。
