Biological Cybernetics最新文献

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Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics 通过复杂系统和细胞控制论的视角解剖小儿胶质母细胞瘤的细胞命运动力学
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-09 DOI: 10.1007/s00422-022-00935-8
A. Uthamacumaran
{"title":"Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics","authors":"A. Uthamacumaran","doi":"10.1007/s00422-022-00935-8","DOIUrl":"https://doi.org/10.1007/s00422-022-00935-8","url":null,"abstract":"","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 1","pages":"407 - 445"},"PeriodicalIF":1.9,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43382548","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: 1
Optimal reaching trajectories based on feedforward control 基于前馈控制的最优到达轨迹
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-04 DOI: 10.1007/s00422-022-00939-4
Y. Taniai, T. Naniwa, J. Nishii
{"title":"Optimal reaching trajectories based on feedforward control","authors":"Y. Taniai, T. Naniwa, J. Nishii","doi":"10.1007/s00422-022-00939-4","DOIUrl":"https://doi.org/10.1007/s00422-022-00939-4","url":null,"abstract":"","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 1","pages":"517 - 526"},"PeriodicalIF":1.9,"publicationDate":"2022-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49023738","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: 2
Sensory feedback expands dynamic complexity and aids in robustness against noise. 感官反馈扩大了动态复杂性,并有助于对噪声的鲁棒性。
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-01 Epub Date: 2022-01-04 DOI: 10.1007/s00422-021-00917-2
Alexander J White
{"title":"Sensory feedback expands dynamic complexity and aids in robustness against noise.","authors":"Alexander J White","doi":"10.1007/s00422-021-00917-2","DOIUrl":"https://doi.org/10.1007/s00422-021-00917-2","url":null,"abstract":"<p><p>It has been hypothesized that sensory feedback is a critical component in determining the functionality of a central pattern generator. To test this, Yu and Thomas's recent work Yu and Thomas (Biol Cybern 115(2):135-160, 2021) built a model of a half-center oscillator coupled to a simple muscular model with sensory feedback. They showed that sensory feedback increases robustness against external noise, while simultaneously expanding the potential repertoire of functions the half-center oscillator can perform. However, they show that this comes at the cost of robustness against internal noise.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":" ","pages":"267-269"},"PeriodicalIF":1.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39786035","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
A review of motor neural system robotic modeling approaches and instruments. 运动神经系统机器人建模方法和仪器综述。
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-01 Epub Date: 2022-01-18 DOI: 10.1007/s00422-021-00918-1
Alexander S Migalev, Kristina D Vigasina, Pavel M Gotovtsev
{"title":"A review of motor neural system robotic modeling approaches and instruments.","authors":"Alexander S Migalev,&nbsp;Kristina D Vigasina,&nbsp;Pavel M Gotovtsev","doi":"10.1007/s00422-021-00918-1","DOIUrl":"https://doi.org/10.1007/s00422-021-00918-1","url":null,"abstract":"<p><p>In this review, we are considering an actively developing tool in neuroscience-robotic modeling. The new perspective and existing application fields, tools, and methods are discussed. We try to determine starting positions and approaches that are useful at the beginning of new research in this field. Among multiple directions of the research is robotic modeling on the level of muscles fibers and their afferents, skin surface sensors, muscles, and joints proprioceptors. Some examples of technical implementation for physical modeling are reviewed. They are software and hardware tools like event-related modeling algorithms, reduced neuron models, robotic drives constructions. We observe existing drives technologies and prospective electric motor types: switched reluctance and transverse flux motors. Next, we look at the existing examples and approaches for robotic modeling of the cerebellum and spinal cord neural networks. These examples show practical methods for the model neural network architecture and adaptation. Those methods allow the use of cortical and spinal cord reflexes for the network training and apply additional artificial blocks for data processing in other brain structures that transmit and receive data from biologically realistic models.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":" ","pages":"271-306"},"PeriodicalIF":1.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39691350","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: 1
Drifting neuronal representations: Bug or feature? 漂移神经元表征:缺陷还是特征?
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-01 Epub Date: 2022-01-07 DOI: 10.1007/s00422-021-00916-3
Paul Masset, Shanshan Qin, Jacob A Zavatone-Veth
{"title":"Drifting neuronal representations: Bug or feature?","authors":"Paul Masset,&nbsp;Shanshan Qin,&nbsp;Jacob A Zavatone-Veth","doi":"10.1007/s00422-021-00916-3","DOIUrl":"https://doi.org/10.1007/s00422-021-00916-3","url":null,"abstract":"<p><p>The brain displays a remarkable ability to sustain stable memories, allowing animals to execute precise behaviors or recall stimulus associations years after they were first learned. Yet, recent long-term recording experiments have revealed that single-neuron representations continuously change over time, contravening the classical assumption that learned features remain static. How do unstable neural codes support robust perception, memories, and actions? Here, we review recent experimental evidence for such representational drift across brain areas, as well as dissections of its functional characteristics and underlying mechanisms. We emphasize theoretical proposals for how drift need not only be a form of noise for which the brain must compensate. Rather, it can emerge from computationally beneficial mechanisms in hierarchical networks performing robust probabilistic computations.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":" ","pages":"253-266"},"PeriodicalIF":1.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39792453","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: 15
Pulse-frequency-dependent resonance in a population of pyramidal neuron models. 锥体神经元模型群体中的脉冲频率相关共振。
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-01 Epub Date: 2022-03-18 DOI: 10.1007/s00422-022-00925-w
Ryosuke Mori, Hiroyuki Mino, Dominique M Durand
{"title":"Pulse-frequency-dependent resonance in a population of pyramidal neuron models.","authors":"Ryosuke Mori,&nbsp;Hiroyuki Mino,&nbsp;Dominique M Durand","doi":"10.1007/s00422-022-00925-w","DOIUrl":"10.1007/s00422-022-00925-w","url":null,"abstract":"<p><p>Stochastic resonance is known as a phenomenon whereby information transmission of weak signal or subthreshold stimuli can be enhanced by additive random noise with a suitable intensity. Another phenomenon induced by applying deterministic pulsatile electric stimuli with a pulse frequency, commonly used for deep brain stimulation (DBS), was also shown to improve signal-to-noise ratio in neuron models. The objective of this study was to test the hypothesis that pulsatile high-frequency stimulation could improve the detection of both sub- and suprathreshold synaptic stimuli by tuning the frequency of the stimulation in a population of pyramidal neuron models. Computer simulations showed that mutual information estimated from a population of neural spike trains displayed a typical resonance curve with a peak value of the pulse frequency at 80-120 Hz, similar to those utilized for DBS in clinical situations. It is concluded that a \"pulse-frequency-dependent resonance\" (PFDR) can enhance information transmission over a broad range of synaptically connected networks. Since the resonance frequency matches that used clinically, PFDR could contribute to the mechanism of the therapeutic effect of DBS.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 3","pages":"363-375"},"PeriodicalIF":1.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9417355","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: 2
Neural kernels for recursive support vector regression as a model for episodic memory. 递归支持向量回归作为情景记忆模型的神经核。
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-06-01 DOI: 10.1007/s00422-022-00926-9
Christian Leibold
{"title":"Neural kernels for recursive support vector regression as a model for episodic memory.","authors":"Christian Leibold","doi":"10.1007/s00422-022-00926-9","DOIUrl":"https://doi.org/10.1007/s00422-022-00926-9","url":null,"abstract":"<p><p>Retrieval of episodic memories requires intrinsic reactivation of neuronal activity patterns. The content of the memories is thereby assumed to be stored in synaptic connections. This paper proposes a theory in which these are the synaptic connections that specifically convey the temporal order information contained in the sequences of a neuronal reservoir to the sensory-motor cortical areas that give rise to the subjective impression of retrieval of sensory motor events. The theory is based on a novel recursive version of support vector regression that allows for efficient continuous learning that is only limited by the representational capacity of the reservoir. The paper argues that hippocampal theta sequences are a potential neural substrate underlying this reservoir. The theory is consistent with confabulations and post hoc alterations of existing memories.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 3","pages":"377-386"},"PeriodicalIF":1.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170657/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10239134","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
Correction to: Unveiling social distancing mechanisms via a fish-robot hybrid interaction 更正:通过鱼和机器人的混合互动揭示社会距离机制
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-04-09 DOI: 10.1007/s00422-022-00930-z
Donato Romano, C. Stefanini
{"title":"Correction to: Unveiling social distancing mechanisms via a fish-robot hybrid interaction","authors":"Donato Romano, C. Stefanini","doi":"10.1007/s00422-022-00930-z","DOIUrl":"https://doi.org/10.1007/s00422-022-00930-z","url":null,"abstract":"","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 1","pages":"387 - 387"},"PeriodicalIF":1.9,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45945826","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
Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance 在中枢神经系统对人体姿态的控制中,任务条件的变化导致间歇性反馈控制的变化
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-04-02 DOI: 10.1007/s00422-022-00927-8
Ranjita Dash, H. Palanthandalam-Madapusi
{"title":"Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance","authors":"Ranjita Dash, H. Palanthandalam-Madapusi","doi":"10.1007/s00422-022-00927-8","DOIUrl":"https://doi.org/10.1007/s00422-022-00927-8","url":null,"abstract":"","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 1","pages":"447 - 459"},"PeriodicalIF":1.9,"publicationDate":"2022-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45704839","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
A biophysical counting mechanism for keeping time. 计时的一种生物物理计数机制。
IF 1.9 4区 工程技术
Biological Cybernetics Pub Date : 2022-04-01 Epub Date: 2022-01-15 DOI: 10.1007/s00422-021-00915-4
Klavdia Zemlianova, Amitabha Bose, John Rinzel
{"title":"A biophysical counting mechanism for keeping time.","authors":"Klavdia Zemlianova,&nbsp;Amitabha Bose,&nbsp;John Rinzel","doi":"10.1007/s00422-021-00915-4","DOIUrl":"https://doi.org/10.1007/s00422-021-00915-4","url":null,"abstract":"<p><p>The ability to estimate and produce appropriately timed responses is central to many behaviors including speaking, dancing, and playing a musical instrument. A classical framework for estimating or producing a time interval is the pacemaker-accumulator model in which pulses of a pacemaker are counted and compared to a stored representation. However, the neural mechanisms for how these pulses are counted remain an open question. The presence of noise and stochasticity further complicates the picture. We present a biophysical model of how to keep count of a pacemaker in the presence of various forms of stochasticity using a system of bistable Wilson-Cowan units asymmetrically connected in a one-dimensional array; all units receive the same input pulses from a central clock but only one unit is active at any point in time. With each pulse from the clock, the position of the activated unit changes thereby encoding the total number of pulses emitted by the clock. This neural architecture maps the counting problem into the spatial domain, which in turn translates count to a time estimate. We further extend the model to a hierarchical structure to be able to robustly achieve higher counts.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"116 2","pages":"205-218"},"PeriodicalIF":1.9,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39684226","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: 3
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