Full Hill-type muscle model of the I1/I3 retractor muscle complex in Aplysia californica [0.03%]
加州海兔I1 / I3缩回肌复合体的完整Hill型肌肉模型
Ravesh Sukhnandan,Qianxue Chen,Jiayi Shen et al.
Ravesh Sukhnandan et al.
The coordination of complex behavior requires knowledge of both neural dynamics and the mechanics of the periphery. The feeding system of Aplysia californica is an excellent model for investigating questions in soft body systems' neuromecha...
COVID-19 and silent hypoxemia in a minimal closed-loop model of the respiratory rhythm generator [0.03%]
新型冠状病毒肺炎和呼吸节律发生器的闭合回路模型中的隐性低氧血症
Casey O Diekman,Peter J Thomas,Christopher G Wilson
Casey O Diekman
Silent hypoxemia, or "happy hypoxia," is a puzzling phenomenon in which patients who have contracted COVID-19 exhibit very low oxygen saturation ( SaO 2 < 80%) but do not experience discomfort in breathing. The mechanism by which this blun...
Hubert Löffler,Daya Shankar Gupta,Andreas Bahmer
Hubert Löffler
The intertwining of space and time poses a significant scientific challenge, transcending disciplines from philosophy and physics to neuroscience. Deciphering neural coding, marked by its inherent spatial and temporal dimensions, has proven...
A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network [0.03%]
一种计算神经模型在海兔摄食网络中结合了内在动力学和感觉反馈
Yanjun Li,Victoria A Webster-Wood,Jeffrey P Gill et al.
Yanjun Li et al.
Studying the nervous system underlying animal motor control can shed light on how animals can adapt flexibly to a changing environment. We focus on the neural basis of feeding control in Aplysia californica. Using the Synthetic Nervous Syst...
A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia [0.03%]
与帕金森病痴呆相关的基底节-皮层并联环路的动态计算模型
Hao Yang,XiaoLi Yang,SiLu Yan
Hao Yang
The cognitive impairment will gradually appear over time in Parkinson's patients, which is closely related to the basal ganglia-cortex network. This network contains two parallel circuits mediated by putamen and caudate nucleus, respectivel...
Controlling flat-foot limit cycle walkers with compliant joints based on local stability variation [0.03%]
基于局部稳定性变化的柔性关节平板足极限环步行器控制方法研究
Yan Huang,Yue Gao,Qiang Huang et al.
Yan Huang et al.
This study investigates local stability of a four-link limit cycle walking biped with flat feet and compliant ankle joints. Local stability represents the behavior along the solution trajectory between Poincare sections, which can provide d...
Pau Fisco-Compte,David Aquilué-Llorens,Nestor Roqueiro et al.
Pau Fisco-Compte et al.
Mathematical modeling of neuronal dynamics has experienced a fast growth in the last decades thanks to the biophysical formalism introduced by Hodgkin and Huxley in the 1950s. Other types of models (for instance, integrate and fire models),...
Stability against fluctuations: a two-dimensional study of scaling, bifurcations and spontaneous symmetry breaking in stochastic models of synaptic plasticity [0.03%]
波动下的稳定性：关于突触可塑性随机模型中缩放、分叉和自发对称性破缺的二维研究
Terry Elliott
Terry Elliott
Stochastic models of synaptic plasticity must confront the corrosive influence of fluctuations in synaptic strength on patterns of synaptic connectivity. To solve this problem, we have proposed that synapses act as filters, integrating plas...
EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI [0.03%]
快速多变量经验模式分解对运动想象脑机接口的EEG节奏分离和时频分析
Yang Jiao,Qian Zheng,Dan Qiao et al.
Yang Jiao et al.
Motor imagery electroencephalogram (EEG) is widely employed in brain-computer interface (BCI) systems. As a time-frequency analysis method for nonlinear and non-stationary signals, multivariate empirical mode decomposition (MEMD) and its no...
What have we learned about artificial intelligence from studying the brain? [0.03%]
通过研究大脑我们在人工智能方面学到了什么？
Samuel J Gershman
Samuel J Gershman
Neuroscience and artificial intelligence (AI) share a long, intertwined history. It has been argued that discoveries in neuroscience were (and continue to be) instrumental in driving the development of new AI technology. Scrutinizing these ...