Drosophila Retina Simulation System and the Emergence of Orientation Selectivity

doi:10.16182/j.issn1004731x.joss.21-0800

Abstract

Abstract:

To investigate the biophysical mechanisms underlying the Drosophila retinal computations, a piece of simulation software is constructed. By constructing the connectivity of the optical structure of the Drosophila compound eye with the neural network and retinal neuronal information encoding processes,, the retinal transformation from the light to the electrical signals is simulated. The photo-transduction model is optimized by a stochastic process. The generating mechanism of orientation selectivity (OS) is explored in the Drosophila retina's output neurons through a simulation system. Experiments show that with comparable simulation accuracy, the simulation speed increases by 40 times. The software can now be performed only on a single laptop without utilizing GPU clusters. The results show that the OS may already occur as early as in the second neural layer of Drosophila's visual system.

Key words: compound eye, optical system of compound eye, Drosophila retina simulation system, photoreceptor, orientation selectivity (OS)

CLC Number:

TP391.9

Ziyu Liu, Yiran Zhuo, Zhuoyi Song. Drosophila Retina Simulation System and the Emergence of Orientation Selectivity[J]. Journal of System Simulation, 2023, 35(1): 123-136.

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输入	对比系统^[15]	本文系统	SSIM
			0.984
			0.982
			0.981
			0.989

系统	评估值	SSIM	d(X, Y)	δ_gray
本文系统	均值	0.850	0.145	0.106
	最优值	0.860	0.126	0.085
	\|Δ\|	0.010	0.020	0.021
对比系统^[15]	均值	0.769	0.160	0.185
	最优值	0.779	0.141	0.169
	\|Δ\|	0.010	0.019	0.016

性能	对比系统^[15] 所用模型	本文系统所用模型
模拟/kByte	2 428	30
耗时/s	4 511.8	2.4
处理器	Intel Core i7 7500U
软件环境	MATLAB R2016a

性能	对比系统^[15]	本文系统
内存/kByte	420	30
耗时/s	5.7	2.4
处理器	NVIDIA Kepler K20X	Intel Core i7 7500U
计算机	高性能计算机	轻薄笔记本

性能	对比系统^[15]	本文系统	本文系统
耗时/s	120.9	3.2	2.7
NVIDIA处理器	Kepler K20X	RTX 2060	RTX 3080 Ti
CUDA核心数(个)	2 688	1 920	4 352