Incorporating buccal mass planar mechanics and anatomical features improves neuromechanical modeling of Aplysia feeding behavior

Michael J Bennington, Ashlee S Liao, Ravesh Sukhnandan, Bidisha Kundu, Stephen M Rogers, Jeffrey P Gill, Jeffrey M McManus, Gregory P Sutton, Hillel J Chiel, Victoria A Webster-Wood
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Abstract

To understand how behaviors arise in animals, it is necessary to investigate both the neural circuits and the biomechanics of the periphery. A tractable model system for studying multifunctional control is the feeding apparatus of the marine mollusk Aplysia californica. Previous in silico and in roboto models have investigated how the nervous and muscular systems interact in this system. However, these models are still limited in their ability to match in vivo data both qualitatively and quantitatively. We introduce a new neuromechanical model of Aplysia feeding that combines a modified version of a previously developed neural model with a novel biomechanical model that better reflects the anatomy and kinematics of Aplysia feeding. The model was calibrated using a combination of previously measured biomechanical parameters and hand-tuning to behavioral data. Using this model, simulation feeding experiments were conducted, and the resulting behavioral metrics were compared to animal data. The model successfully produces three key behaviors seen in Aplysia and demonstrates a good quantitative agreement with biting and swallowing behaviors. Additional work is needed to match rejection behavior quantitatively and to reflect qualitative observations related to the relative contributions of two key muscles, the hinge and I3. Future improvements will focus on incorporating the effects of deformable 3D structures in the simulated buccal mass.
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纳入颊质平面力学和解剖学特征可改进水蚤摄食行为的神经力学建模
要了解动物的行为是如何产生的,就必须同时研究神经回路和外围的生物力学。海洋软体动物水蚤(Aplysia californica)的摄食装置是研究多功能控制的一个简单易行的模型系统。以前的硅学和机器人模型研究了神经系统和肌肉系统如何在该系统中相互作用。然而,这些模型在定性和定量方面与体内数据匹配的能力仍然有限。我们介绍了一种新的蜻蜓摄食神经机械模型,该模型将以前开发的神经模型的改进版与一种新的生物力学模型相结合,更好地反映了蜻蜓摄食的解剖学和运动学。该模型结合了之前测量的生物力学参数和人工调整的行为数据进行校准。利用该模型,进行了模拟进食实验,并将得出的行为指标与动物数据进行了比较。该模型成功地产生了三种常见的水蚤关键行为,并与咬食和吞咽行为的定量指标非常吻合。还需要做更多的工作来定量匹配排斥行为,并反映与铰链和 I3 两块关键肌肉的相对贡献有关的定性观察结果。未来的改进重点是将可变形三维结构的影响纳入模拟颊块。
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