Biological Cybernetics最新文献

Relationships between the degrees of freedom in the affine Gaussian derivative model for visual receptive fields and 2-D affine image transformations with application to covariance properties of simple cells in the primary visual cortex. 视觉感受野仿射高斯导数模型的自由度与二维仿射图像变换之间的关系及其在初级视觉皮层简单细胞协方差特性中的应用。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-06-18 DOI: 10.1007/s00422-025-01014-4

Tony Lindeberg

{"title":"Relationships between the degrees of freedom in the affine Gaussian derivative model for visual receptive fields and 2-D affine image transformations with application to covariance properties of simple cells in the primary visual cortex.","authors":"Tony Lindeberg","doi":"10.1007/s00422-025-01014-4","DOIUrl":"10.1007/s00422-025-01014-4","url":null,"abstract":"When observing the surface patterns of objects delimited by smooth surfaces, the projections of the surface patterns to the image domain will be subject to substantial variabilities, as induced by variabilities in the geometric viewing conditions, and as generated by either monocular or binocular imaging conditions, or by relative motions between the object and the observer over time. To first order of approximation, the image deformations of such projected surface patterns can be modelled as local linearizations in terms of local 2-D spatial affine transformations. This paper presents a theoretical analysis of relationships between the degrees of freedom in 2-D spatial affine image transformations and the degrees of freedom in the affine Gaussian derivative model for visual receptive fields. For this purpose, we first describe a canonical decomposition of 2-D affine transformations on a product form, closely related to a singular value decomposition, while in closed form, and which reveals the degrees of freedom in terms of (i) uniform scaling transformations, (ii) an overall amount of global rotation, (iii) a complementary non-uniform scaling transformation and (iv) a relative normalization to a preferred symmetry orientation in the image domain. Then, we show how these degrees of freedom relate to the degrees of freedom in the affine Gaussian derivative model. Finally, we use these theoretical results to consider whether we could regard the biological receptive fields in the primary visual cortex of higher mammals as being able to span the degrees of freedom of 2-D spatial affine transformations, based on interpretations of existing neurophysiological experimental results.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"15"},"PeriodicalIF":1.7,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12176974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327837","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

Bio-Inspired spiking tactile sensing system for robust texture recognition across varying scanning speeds in passive touch. 仿生脉冲触觉传感系统，用于在被动触摸中不同扫描速度的鲁棒纹理识别。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-06-14 DOI: 10.1007/s00422-025-01012-6

Fatemeh Yavari, Ali Motie Nasrabadi, Fereidoun Nowshiravan Rahatabad, Mahmood Amiri

{"title":"Bio-Inspired spiking tactile sensing system for robust texture recognition across varying scanning speeds in passive touch.","authors":"Fatemeh Yavari, Ali Motie Nasrabadi, Fereidoun Nowshiravan Rahatabad, Mahmood Amiri","doi":"10.1007/s00422-025-01012-6","DOIUrl":"https://doi.org/10.1007/s00422-025-01012-6","url":null,"abstract":"Tactile sensing plays a crucial role in texture recognition, but variations in scanning speed pose a significant challenge for accurate discrimination. Previous studies have demonstrated that scanning speed alters the frequency of texture-induced vibrations, necessitating methods for speed encoding. In this study, we propose a bio-inspired spiking tactile sensing system that integrates mechanoreceptor responses with coincidence detector neurons to encode both texture and velocity without relying on external speed sensors. Our method enables speed and texture recognition in both active and passive touch scenarios by leveraging spike timing information from mechanoreceptors. We evaluated the robustness of our approach by introducing Gaussian noise into the neural encoding process, demonstrating that the model maintains stable accuracy with minimal degradation across different noise levels. The proposed artificial tactile system achieves an impressive 93% accuracy in jointly classifying texture and speed. Compared to prior methods, our model provides a biologically plausible solution to real-world tactile sensing challenges. This research offers a robust framework for texture recognition in prosthetic devices, robotic hands, and autonomous systems operating in unstructured environments.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"14"},"PeriodicalIF":1.7,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295433","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

Bayesian Dynamical Modeling of Fixational Eye Movements. 注视眼运动的贝叶斯动力学建模。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-06-09 DOI: 10.1007/s00422-025-01010-8

Lisa Schwetlick, Sebastian Reich, Ralf Engbert

{"title":"Bayesian Dynamical Modeling of Fixational Eye Movements.","authors":"Lisa Schwetlick, Sebastian Reich, Ralf Engbert","doi":"10.1007/s00422-025-01010-8","DOIUrl":"10.1007/s00422-025-01010-8","url":null,"abstract":"Humans constantly move their eyes, even during visual fixations, where miniature (or fixational) eye movements occur involuntarily. Fixational eye movements comprise slow components (physiological drift and tremor) and fast components (microsaccades). The complex dynamics of physiological drift can be modeled qualitatively as a statistically self-avoiding random walk (SAW model, Engbert et al., 2011). In this study, we implement a data assimilation approach for the SAW model to explain statistics of fixational eye movements and microsaccades in experimental data obtained from high-resolution eye-tracking. We discuss and analyze the likelihood function for the SAW model, which allows us to apply Bayesian parameter estimation at the level of individual human observers. Based on model fitting, we find a relationship between the activation predicted by the SAW model and the occurrence of microsaccades. The model's latent activation relative to microsaccade onsets and offsets using experimental data lends support to the existence of a triggering mechanism for microsaccades. Our findings suggest that the SAW model can capture individual differences and serve as a tool for exploring the relationship between physiological drift and microsaccades as the two most essential components of fixational eye movements. Our results contribute to understanding individual variability in microsaccade behaviors and the role of fixational eye movements in visual information processing.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"13"},"PeriodicalIF":1.7,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12149266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250891","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

Decreased spinal inhibition leads to undiversified locomotor patterns. 脊髓抑制减弱导致运动模式单一。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2025-06-04 DOI: 10.1007/s00422-025-01011-7

Myriam Lauren de Graaf, Heiko Wagner, Luis Mochizuki, Charlotte Le Mouel

{"title":"Decreased spinal inhibition leads to undiversified locomotor patterns.","authors":"Myriam Lauren de Graaf, Heiko Wagner, Luis Mochizuki, Charlotte Le Mouel","doi":"10.1007/s00422-025-01011-7","DOIUrl":"10.1007/s00422-025-01011-7","url":null,"abstract":"During walking and running, animals display rich and coordinated motor patterns that are generated and controlled within the central nervous system. Previous computational and experimental results suggest that the balance between excitation and inhibition in neural circuits may be critical for generating such structured motor patterns. In this paper, we explore the influence of this balance on the ability of a reservoir computing artificial neural network to learn human locomotor patterns, using mean-field theory and simulations. We created networks with varying neuron numbers, connection percentages and connection strengths for the excitatory and inhibitory neuron populations, and introduced the anatomical imbalance that quantifies the overall effect of the two populations. We trained the networks to reproduce muscle activation patterns derived from human recordings and evaluated their performance. Our results indicate that network dynamics and performance depend critically on the anatomical imbalance in the network. Excitation-dominated networks lead to saturated firing rates, thereby reducing the firing rate heterogeneity and leading to muscle coactivation and inflexible motor patterns. Inhibition-dominated networks, on the other hand, perform well, displaying balanced input to the neurons and sufficient heterogeneity in the neuron firing rate patterns. This suggests that motor pattern generation may be robust to increased inhibition but not increased excitation in neural networks.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"119 2-3","pages":"12"},"PeriodicalIF":1.7,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12137539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217657","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

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