Biological Cybernetics最新文献_第10页

Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation. 听觉皮层建模为振荡的动态网络:理解事件相关领域及其适应。

IF 1.9 4区工程技术

Biological Cybernetics Pub Date : 2022-08-01 Epub Date: 2022-06-20 DOI: 10.1007/s00422-022-00936-7

Aida Hajizadeh, Artur Matysiak, Matthias Wolfrum, Patrick J C May, Reinhard König

{"title":"Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation.","authors":"Aida Hajizadeh, Artur Matysiak, Matthias Wolfrum, Patrick J C May, Reinhard König","doi":"10.1007/s00422-022-00936-7","DOIUrl":"https://doi.org/10.1007/s00422-022-00936-7","url":null,"abstract":"Adaptation, the reduction of neuronal responses by repetitive stimulation, is a ubiquitous feature of auditory cortex (AC). It is not clear what causes adaptation, but short-term synaptic depression (STSD) is a potential candidate for the underlying mechanism. In such a case, adaptation can be directly linked with the way AC produces context-sensitive responses such as mismatch negativity and stimulus-specific adaptation observed on the single-unit level. We examined this hypothesis via a computational model based on AC anatomy, which includes serially connected core, belt, and parabelt areas. The model replicates the event-related field (ERF) of the magnetoencephalogram as well as ERF adaptation. The model dynamics are described by excitatory and inhibitory state variables of cell populations, with the excitatory connections modulated by STSD. We analysed the system dynamics by linearising the firing rates and solving the STSD equation using time-scale separation. This allows for characterisation of AC dynamics as a superposition of damped harmonic oscillators, so-called normal modes. We show that repetition suppression of the N1m is due to a mixture of causes, with stimulus repetition modifying both the amplitudes and the frequencies of the normal modes. In this view, adaptation results from a complete reorganisation of AC dynamics rather than a reduction of activity in discrete sources. Further, both the network structure and the balance between excitation and inhibition contribute significantly to the rate with which AC recovers from adaptation. This lifetime of adaptation is longer in the belt and parabelt than in the core area, despite the time constants of STSD being spatially homogeneous. Finally, we critically evaluate the use of a single exponential function to describe recovery from adaptation.","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":" ","pages":"475-499"},"PeriodicalIF":1.9,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39999787","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: 3

Codimension-2 parameter space structure of continuous-time recurrent neural networks. 连续时间递归神经网络的协维-2参数空间结构。

IF 1.9 4区工程技术

Biological Cybernetics Pub Date : 2022-08-01 Epub Date: 2022-06-20 DOI: 10.1007/s00422-022-00938-5

Randall D Beer

引用次数: 2

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

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

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

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, Kristina D Vigasina, Pavel M Gotovtsev","doi":"10.1007/s00422-021-00918-1","DOIUrl":"https://doi.org/10.1007/s00422-021-00918-1","url":null,"abstract":"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.","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

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, Hiroyuki Mino, Dominique M Durand","doi":"10.1007/s00422-022-00925-w","DOIUrl":"10.1007/s00422-022-00925-w","url":null,"abstract":"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.","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

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

引用次数: 0