Biological Cybernetics最新文献

Counteracting uncertainty: exploring the impact of anxiety on updating predictions about environmental states.

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.

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.

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.

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

Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence. 超越诺贝尔奖：迈向计算神经科学与人工智能之间的新协同效应。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2024-12-27 DOI: 10.1007/s00422-024-01002-0

Jean-Marc Fellous, Peter Thomas, Paul Tiesinga, Benjamin Lindner

引用次数: 0

Phase response curves and the role of coordinates. 相位响应曲线和坐标的作用。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2024-12-01 Epub Date: 2024-10-30 DOI: 10.1007/s00422-024-00997-w

Simon Wilshin, Matthew D Kvalheim, Shai Revzen

引用次数: 0

Variational analysis of sensory feedback mechanisms in powerstroke-recovery systems. 对动力行程恢复系统中的感觉反馈机制进行变量分析。

IF 1.7 4区工程技术

Biological Cybernetics Pub Date : 2024-12-01 Epub Date: 2024-09-09 DOI: 10.1007/s00422-024-00996-x

Zhuojun Yu, Peter J Thomas

{"title":"Variational analysis of sensory feedback mechanisms in powerstroke-recovery systems.","authors":"Zhuojun Yu, Peter J Thomas","doi":"10.1007/s00422-024-00996-x","DOIUrl":"10.1007/s00422-024-00996-x","url":null,"abstract":"Although the raison d'etre of the brain is the survival of the body, there are relatively few theoretical studies of closed-loop rhythmic motor control systems. In this paper we provide a unified framework, based on variational analysis, for investigating the dual goals of performance and robustness in powerstroke-recovery systems. To demonstrate our variational method, we augment two previously published closed-loop motor control models by equipping each model with a performance measure based on the rate of progress of the system relative to a spatially extended external substrate-such as a long strip of seaweed for a feeding task, or progress relative to the ground for a locomotor task. The sensitivity measure quantifies the ability of the system to maintain performance in response to external perturbations, such as an applied load. Motivated by a search for optimal design principles for feedback control achieving the complementary requirements of efficiency and robustness, we discuss the performance-sensitivity patterns of the systems featuring different sensory feedback architectures. In a paradigmatic half-center oscillator-motor system, we observe that the excitation-inhibition property of feedback mechanisms determines the sensitivity pattern while the activation-inactivation property determines the performance pattern. Moreover, we show that the nonlinearity of the sigmoid activation of feedback signals allows the existence of optimal combinations of performance and sensitivity. In a detailed hindlimb locomotor system, we find that a force-dependent feedback can simultaneously optimize both performance and robustness, while length-dependent feedback variations result in significant performance-versus-sensitivity tradeoffs. Thus, this work provides an analytical framework for studying feedback control of oscillations in nonlinear dynamical systems, leading to several insights that have the potential to inform the design of control or rehabilitation systems.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":" ","pages":"277-309"},"PeriodicalIF":1.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11588830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156680","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