Biological Cybernetics最新文献

Bond graph analysis of a three-link physiological motor control system: integrating simulation and muscle behavior. 三环节生理运动控制系统的键合图分析：模拟与肌肉行为的整合。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-05-17 DOI: 10.1007/s00422-025-01008-2

Armeen Saeed, Nadia Sultan, Najam-Ul-Islam Muhammad, A M Mughal

{"title":"Bond graph analysis of a three-link physiological motor control system: integrating simulation and muscle behavior.","authors":"Armeen Saeed, Nadia Sultan, Najam-Ul-Islam Muhammad, A M Mughal","doi":"10.1007/s00422-025-01008-2","DOIUrl":"https://doi.org/10.1007/s00422-025-01008-2","url":null,"abstract":"Understanding the process of standing up from a sitting position involves complex biomechanical interactions. Traditional models in biomechanics, which focus on basic movements, often fail to capture the intricate role of muscles. This study improves on current models by concentrating on the contribution of muscles to sit-to-stand movement, specifically addressing three joints in the sagittal plane (hip, knee, and ankle). Bond graph modelling and Hill-type muscle models are used in the study to generate a more realistic representation of the sit-to-stand action. This work emphasizes on the alternate Hill-type model that helps to achieve a more thorough knowledge of muscle mechanics. The complete bond graph model is divided into two subsystems combined with PID controllers, one is the actual system which represents the physiological framework and the second is the virtual system which mimics the behavior of Central Nervous System. It is observed that higher torque results are achieved by the inclusion of muscles in the system as compared to earlier studies. The research adds to the creation of better assistive devices and rehabilitation programs by giving a more realistic model of human mobility. In conclusion, this work introduces an improved method of biomechanical modelling that provides a better understanding of the sit-to-stand action. It questions existing models and suggests a more thorough technique, bringing up new options for biomechanics and rehabilitation research.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"10"},"PeriodicalIF":1.7,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating continuous and intermittent feedback models of postural control using the least squares method. 用最小二乘法估计姿势控制的连续和间歇反馈模型。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-05-17 DOI: 10.1007/s00422-025-01009-1

Diego Gonzalez, Luis Aureliano Imbiriba, Frederico Jandre

{"title":"Estimating continuous and intermittent feedback models of postural control using the least squares method.","authors":"Diego Gonzalez, Luis Aureliano Imbiriba, Frederico Jandre","doi":"10.1007/s00422-025-01009-1","DOIUrl":"https://doi.org/10.1007/s00422-025-01009-1","url":null,"abstract":"Biomechanical models of postural control provide valuable insights into the mechanisms underlying balance. Although continuous and intermittent controller structures have been widely applied, their parameter identification from experimental data across diverse populations and sensory conditions remains underexplored. This study employs ankle torque signals and least squares (LS)-based methods to estimate and compare parameters of continuous and intermittent feedback models using sway data from young and older adults during quiet standing under varied sensory conditions. The LS, non-negative LS, and bounded-variable LS methods achieved high mean coefficients of determination ( <math> <mrow><msup><mi>R</mi> <mn>2</mn></msup> <mo>></mo> <mn>0.86</mn></mrow> </math> ) for both models. Passive stiffness in the intermittent models remained consistent across sensory conditions, whereas active parameters varied for both models, reflecting adaptability. Simulations with these estimated models reproduced human sway patterns with reasonable accuracy. Despite some limitations, these techniques may contribute to advancing our understanding of postural control mechanisms.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"11"},"PeriodicalIF":1.7,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal control for stochastic neural oscillators. 随机神经振荡器的最优控制。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-03-20 DOI: 10.1007/s00422-025-01007-3

Faranak Rajabi, Frederic Gibou, Jeff Moehlis

{"title":"Optimal control for stochastic neural oscillators.","authors":"Faranak Rajabi, Frederic Gibou, Jeff Moehlis","doi":"10.1007/s00422-025-01007-3","DOIUrl":"10.1007/s00422-025-01007-3","url":null,"abstract":"This study develops an event-based, energy-efficient control strategy for desynchronizing coupled neuronal networks using optimal control theory. Inspired by phase resetting techniques in Parkinson's disease treatment, we incorporate stochasticity of the system's dynamics into deterministic models to address neural system intrinsic noise. We use an advanced computational solver for nonlinear stochastic partial differential equations to solve the stochastic Hamilton-Jacobi-Bellman equation via level set methods for a single neuron model; this allows us to find control inputs which drive the dynamics close to the system's phaseless set. When applied to coupled neuronal networks, these inputs achieve effective randomization of neuronal spike timing, leading to significant network desynchronization. Compared to its deterministic counterpart, our stochastic method can achieve considerable energy savings. The event-based control minimizes unnecessary charge transfer, potentially extending implanted stimulator battery life while maintaining robustness against variations in neuronal coupling strengths and network heterogeneities. These findings highlight the potential for developing energy-efficient neurostimulation techniques with implications for deep brain stimulation protocols. The presented computational framework could also be applied to other domains for which stochastic optimal control problems are prevalent.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"9"},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923019/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Counteracting uncertainty: exploring the impact of anxiety on updating predictions about environmental states. 抵消不确定性：探索焦虑对更新环境状态预测的影响。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-02-20 DOI: 10.1007/s00422-025-01006-4

David Harris, Tom Arthur, Mark Wilson, Ben Le Gallais, Thomas Parsons, Ally Dill, Sam Vine

{"title":"Counteracting uncertainty: exploring the impact of anxiety on updating predictions about environmental states.","authors":"David Harris, Tom Arthur, Mark Wilson, Ben Le Gallais, Thomas Parsons, Ally Dill, Sam Vine","doi":"10.1007/s00422-025-01006-4","DOIUrl":"10.1007/s00422-025-01006-4","url":null,"abstract":"Anxious emotional states disrupt decision-making and control of dexterous motor actions. Computational work has shown that anxiety-induced uncertainty alters the rate at which we learn about the environment, but the subsequent impact on the predictive beliefs that drive action control remains to be understood. In the present work we tested whether anxiety alters predictive (oculo)motor control mechanisms. Thirty participants completed an experimental task that consisted of manual interception of a projectile performed in virtual reality. Participants were subjected to conditions designed to induce states of high or low anxiety using performance incentives and social-evaluative pressure. We measured subsequent effects on physiological arousal, self-reported state anxiety, and eye movements. Under high pressure conditions we observed visual sampling of the task environment characterised by higher variability and entropy of position prior to release of the projectile, consistent with an active attempt to reduce uncertainty. Computational modelling of predictive beliefs, using gaze data as inputs to a partially observable Markov decision process model, indicated that trial-to-trial updating of predictive beliefs was reduced during anxiety, suggesting that updates to priors were constrained. Additionally, state anxiety was related to a less deterministic mapping of beliefs to actions. These results support the idea that organisms may attempt to counter anxiety-related uncertainty by moving towards more familiar and certain sensorimotor patterns.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"8"},"PeriodicalIF":1.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11842521/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143459923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antifragile control systems in neuronal processing: a sensorimotor perspective. 神经处理中的反脆弱控制系统：感觉运动视角。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-02-15 DOI: 10.1007/s00422-025-01003-7

Cristian Axenie

{"title":"Antifragile control systems in neuronal processing: a sensorimotor perspective.","authors":"Cristian Axenie","doi":"10.1007/s00422-025-01003-7","DOIUrl":"10.1007/s00422-025-01003-7","url":null,"abstract":"The stability-robustness-resilience-adaptiveness continuum in neuronal processing follows a hierarchical structure that explains interactions and information processing among the different time scales. Interestingly, using \"canonical\" neuronal computational circuits, such as Homeostatic Activity Regulation, Winner-Take-All, and Hebbian Temporal Correlation Learning, one can extend the behavior spectrum towards antifragility. Cast already in both probability theory and dynamical systems, antifragility can explain and define the interesting interplay among neural circuits, found, for instance, in sensorimotor control in the face of uncertainty and volatility. This perspective proposes a new framework to analyze and describe closed-loop neuronal processing using principles of antifragility, targeting sensorimotor control. Our objective is two-fold. First, we introduce antifragile control as a conceptual framework to quantify closed-loop neuronal network behaviors that gain from uncertainty and volatility. Second, we introduce neuronal network design principles, opening the path to neuromorphic implementations and transfer to technical systems.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"7"},"PeriodicalIF":1.7,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829851/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The role of the prefrontal cortex in cocaine-induced noradrenaline release in the nucleus accumbens: a computational study. 前额皮质在可卡因诱导的伏隔核去甲肾上腺素释放中的作用：一项计算研究。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-02-07 DOI: 10.1007/s00422-025-01005-5

Samuele Carli, Aurelia Schirripa, Pierandrea Mirino, Adriano Capirchio, Daniele Caligiore

引用次数: 0

Efficient stochastic simulation of piecewise-deterministic Markov processes and its application to the Morris-Lecar model of neural dynamics. 分段确定性马尔可夫过程的高效随机模拟及其在神经动力学Morris-Lecar模型中的应用。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-01-24 DOI: 10.1007/s00422-025-01004-6

Arkady Pikovsky

引用次数: 0

Action of the Euclidean versus projective group on an agent's internal space in curiosity driven exploration. 好奇驱动探索中欧几里得对投影群对主体内部空间的作用。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-01-17 DOI: 10.1007/s00422-024-01001-1

Grégoire Sergeant-Perthuis, Nils Ruet, Dimitri Ognibene, Yvain Tisserand, Kenneth Williford, David Rudrauf

{"title":"Action of the Euclidean versus projective group on an agent's internal space in curiosity driven exploration.","authors":"Grégoire Sergeant-Perthuis, Nils Ruet, Dimitri Ognibene, Yvain Tisserand, Kenneth Williford, David Rudrauf","doi":"10.1007/s00422-024-01001-1","DOIUrl":"10.1007/s00422-024-01001-1","url":null,"abstract":"According to the Projective Consciousness Model (PCM), in human spatial awareness, 3-dimensional projective geometry structures information integration and action planning through perspective taking within an internal representation space. The way different perspectives are related to and transform a world model defines a specific perception and imagination scheme. In mathematics, such a collection of transformations corresponds to a 'group', whose 'actions' characterize the geometry of a space. Imbuing world models with a group structure may capture different agents' spatial awareness and affordance schemes. We used group action as a special class of policies for perspective-dependent control. We explored how such a geometric structure impacts agents' behaviors, comparing how the Euclidean versus projective groups act on epistemic value in active inference, drive curiosity, and exploration. We formally demonstrate and simulate how the groups induce distinct behaviors in a simple search task. The projective group's nonlinear magnification of information transformed epistemic value according to the choice of frame, generating behaviors of approach toward objects with uncertain locations due to limited sampling. The Euclidean group had no effect on epistemic value: no action was better than the initial idle state. In structuring a priori an agent's internal representation, we show how geometry can play a key role in information integration and action planning. Our results add further support to the PCM.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 1","pages":"4"},"PeriodicalIF":1.7,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11742296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extraction of parameters of a stochastic integrate-and-fire model with adaptation from voltage recordings. 从电压记录中提取具有自适应的随机积分-火灾模型参数。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2024-12-30 DOI: 10.1007/s00422-024-01000-2

Lilli Kiessling, Benjamin Lindner

{"title":"Extraction of parameters of a stochastic integrate-and-fire model with adaptation from voltage recordings.","authors":"Lilli Kiessling, Benjamin Lindner","doi":"10.1007/s00422-024-01000-2","DOIUrl":"10.1007/s00422-024-01000-2","url":null,"abstract":"Integrate-and-fire models are an important class of phenomenological neuronal models that are frequently used in computational studies of single neural activity, population activity, and recurrent neural networks. If these models are used to understand and interpret electrophysiological data, it is important to reliably estimate the values of the model's parameters. However, there are no standard methods for the parameter estimation of Integrate-and-fire models. Here, we identify the model parameters of an adaptive integrate-and-fire neuron with temporally correlated noise by analyzing membrane potential and spike trains in response to a current step. Explicit formulas for the parameters are analytically derived by stationary and time-dependent ensemble averaging of the model dynamics. Specifically, we give mathematical expressions for the adaptation time constant, the adaptation strength, the membrane time constant, and the mean constant input current. These theoretical predictions are validated by numerical simulations for a broad range of system parameters. Importantly, we demonstrate that parameters can be extracted by using only a modest number of trials. This is particularly encouraging, as the number of trials in experimental settings is often limited. Hence, our formulas may be useful for the extraction of effective parameters from neurophysiological data obtained from standard current-step experiments.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 1","pages":"2"},"PeriodicalIF":1.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Would you publish unrealistic models? 你会发表不切实际的模型吗？

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2024-12-30 DOI: 10.1007/s00422-024-00999-8

Damien Depannemaecker

引用次数: 0