Cognitive Neurodynamics最新文献_第8页

Adaptive learning rate in dynamical binary environments: the signature of adaptive information processing. 动态二元环境下的自适应学习率：自适应信息处理的特征。

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-12-01 Epub Date: 2024-10-21 DOI: 10.1007/s11571-024-10128-7

Changbo Zhu, Ke Zhou, Yandong Tang, Fengzhen Tang, Bailu Si

引用次数: 0

Generative models for sequential dynamics in active inference. 主动推理中序列动力学的生成模型

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-12-01 Epub Date: 2023-04-26 DOI: 10.1007/s11571-023-09963-x

Thomas Parr, Karl Friston, Giovanni Pezzulo

{"title":"Generative models for sequential dynamics in active inference.","authors":"Thomas Parr, Karl Friston, Giovanni Pezzulo","doi":"10.1007/s11571-023-09963-x","DOIUrl":"10.1007/s11571-023-09963-x","url":null,"abstract":"A central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics. Notable examples are sequences of words during linguistic communication or sequences of locations during navigation. In this perspective, we address the problem of sequential brain processing from the perspective of active inference, which inherits from a Helmholtzian view of the predictive (Bayesian) brain. Underneath the active inference lies a generative model; namely, a probabilistic description of how (observable) consequences are generated by (unobservable) causes. We show that one can account for many aspects of sequential brain processing by assuming the brain entails a generative model of the sensed world that comprises central pattern generators, narratives, or well-defined sequences. We provide examples in the domains of motor control (e.g., handwriting), perception (e.g., birdsong recognition) through to planning and understanding (e.g., language). The solutions to these problems include the use of sequences of attracting points to direct complex movements-and the move from continuous representations of auditory speech signals to the discrete words that generate those signals.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":" ","pages":"3259-3272"},"PeriodicalIF":3.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11655747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49649292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Robust working memory in a two-dimensional continuous attractor network. 二维连续吸引子网络中的鲁棒工作记忆

IF 3.1 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-12-01 Epub Date: 2023-05-29 DOI: 10.1007/s11571-023-09979-3

Weronika Wojtak, Stephen Coombes, Daniele Avitabile, Estela Bicho, Wolfram Erlhagen

{"title":"Robust working memory in a two-dimensional continuous attractor network.","authors":"Weronika Wojtak, Stephen Coombes, Daniele Avitabile, Estela Bicho, Wolfram Erlhagen","doi":"10.1007/s11571-023-09979-3","DOIUrl":"10.1007/s11571-023-09979-3","url":null,"abstract":"Continuous bump attractor networks (CANs) have been widely used in the past to explain the phenomenology of working memory (WM) tasks in which continuous-valued information has to be maintained to guide future behavior. Standard CAN models suffer from two major limitations: the stereotyped shape of the bump attractor does not reflect differences in the representational quality of WM items and the recurrent connections within the network require a biologically unrealistic level of fine tuning. We address both challenges in a two-dimensional (2D) network model formalized by two coupled neural field equations of Amari type. It combines the lateral-inhibition-type connectivity of classical CANs with a locally balanced excitatory and inhibitory feedback loop. We first use a radially symmetric connectivity to analyze the existence, stability and bifurcation structure of 2D bumps representing the conjunctive WM of two input dimensions. To address the quality of WM content, we show in model simulations that the bump amplitude reflects the temporal integration of bottom-up and top-down evidence for a specific combination of input features. This includes the network capacity to transform a stable subthreshold memory trace of a weak input into a high fidelity memory representation by an unspecific cue given retrospectively during WM maintenance. To address the fine-tuning problem, we test numerically different perturbations of the assumed radial symmetry of the connectivity function including random spatial fluctuations in the connection strength. Different to the behavior of standard CAN models, the bump does not drift in representational space but remains stationary at the input position.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":" ","pages":"3273-3289"},"PeriodicalIF":3.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11655900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43917510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A memristor-based circuit design of avoidance learning with time delay and its application 基于忆阻器的时延回避学习电路设计及其应用

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-19 DOI: 10.1007/s11571-024-10173-2

Junwei Sun, Haojie Wang, Yuanpeng Xu, Peng Liu, Yanfeng Wang

{"title":"A memristor-based circuit design of avoidance learning with time delay and its application","authors":"Junwei Sun, Haojie Wang, Yuanpeng Xu, Peng Liu, Yanfeng Wang","doi":"10.1007/s11571-024-10173-2","DOIUrl":"https://doi.org/10.1007/s11571-024-10173-2","url":null,"abstract":"Currently, the research in memristor-based associative memory neural networks pays more attention to positive stimuli and lays less attention to negative stimuli. Negative stimuli are superior to positive stimuli in some ways, but lack the associated circuit implementation. In this paper, a memristor-based circuit design of avoidance learning with time delay is designed. The circuit can respond to a negative stimulus after initial avoidance learning and the effect of delay time between stimuli is considered. The realization of avoidance learning is confirmed in the PSPICE simulation results. In addition, an extended application circuit based on the memristor-based circuit design of avoidance learning with time delay is proposed. The application circuit is based on the advantage of negative stimuli is more difficult to forget than positive stimuli in associative memory. Based on the features of objects as input, the output of the circuit is used to achieve the function of avoidance learning. The application circuit provides more references for neural networks of automatic driving with further development.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"1 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Perceptual information processing in table tennis players: based on top-down hierarchical predictive coding 乒乓球运动员的感知信息处理：基于自上而下的分层预测编码

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-13 DOI: 10.1007/s11571-024-10171-4

Ziyi Peng, Lin Xu, Jie Lian, Xin An, Shufang Chen, Yongcong Shao, Fubing Jiao, Jing Lv

{"title":"Perceptual information processing in table tennis players: based on top-down hierarchical predictive coding","authors":"Ziyi Peng, Lin Xu, Jie Lian, Xin An, Shufang Chen, Yongcong Shao, Fubing Jiao, Jing Lv","doi":"10.1007/s11571-024-10171-4","DOIUrl":"https://doi.org/10.1007/s11571-024-10171-4","url":null,"abstract":"Long-term training induces neural plasticity in the visual cognitive processing cortex of table tennis athletes, who perform cognitive processing in a resource-conserving manner. However, further discussion is needed to determine whether the spatial processing advantage of table tennis players manifests in the early stage of sensory input or the late stage of processing. This study aims to explore the processing styles and neural activity characteristics of table tennis players during spatial cognitive processing. Spatial cognitive tasks were completed by 28 college students and 20 s-level table tennis players, and event-related potentials (ERP) data were recorded during the task. The behavioral results showed that the table tennis group performed better on the task than the college students group (control). The ERP results showed that the amplitude of the N1 component of the table tennis group was significantly lower than that of the control group. The amplitude of the P2 and P3 components of the table tennis group was higher than that of the control group. Table tennis players showed significant synergistic activity between electrodes in the β-band. The results of this study suggest that table tennis players significantly deploy attentional resources and cognitive control. Further, they employ stored motor experience to process spatial information in a hierarchical predictive coding manner.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"1 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

The dynamical behavior effects of different numbers of discrete memristive synaptic coupled neurons 不同数量离散记忆性突触耦合神经元的动态行为效应

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-13 DOI: 10.1007/s11571-024-10172-3

Minyuan Cheng, Kaihua Wang, Xianying Xu, Jun Mou

{"title":"The dynamical behavior effects of different numbers of discrete memristive synaptic coupled neurons","authors":"Minyuan Cheng, Kaihua Wang, Xianying Xu, Jun Mou","doi":"10.1007/s11571-024-10172-3","DOIUrl":"https://doi.org/10.1007/s11571-024-10172-3","url":null,"abstract":"Two types of neuron models are constructed in this paper, namely the single discrete memristive synaptic neuron model and the dual discrete memristive synaptic neuron model. Firstly, it is proved that both models have only one unstable equilibrium point. Then, the influence of the coupling strength parameters and neural membrane amplification coefficient of the corresponding system of the two models on the rich dynamical behavior of the systems is analyzed. Research has shown that when the number of discrete local active memristor used as simulation synapses in the system increases from one to two, the coupling strength parameter of the same memristor has significantly different effects on the dynamical behavior of the system within the same range, that is, from a state with periodicity, chaos, and periodicity window to a state with only chaos. In addition, under the influence of coupling strength parameters and neural membrane amplification coefficients, the complexity of the system weakens to varying degrees. Moreover, under the effect of two memristors, the system exhibits a rare and interesting phenomenon where the coupling strength parameter and the neural membrane amplification coefficient can mutually serve as control parameter, resulting in the generation of a remerging Feigenbaum tree. Finally, the pseudo-randomness of the chaotic systems corresponding to the two models are detected by NIST SP800-22, and relevant simulation results are verified on the DSP hardware experimental platform. The discrete memristive synaptic neuron models established in this article provide assistance in studying the relevant working principles of real neurons.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"44 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Advancements in automated diagnosis of autism spectrum disorder through deep learning and resting-state functional mri biomarkers: a systematic review 通过深度学习和静息态功能成像生物标记物自动诊断自闭症谱系障碍的进展：系统综述

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-13 DOI: 10.1007/s11571-024-10176-z

Shiza Huda, Danish Mahmood Khan, Komal Masroor, Warda, Ayesha Rashid, Mariam Shabbir

{"title":"Advancements in automated diagnosis of autism spectrum disorder through deep learning and resting-state functional mri biomarkers: a systematic review","authors":"Shiza Huda, Danish Mahmood Khan, Komal Masroor, Warda, Ayesha Rashid, Mariam Shabbir","doi":"10.1007/s11571-024-10176-z","DOIUrl":"https://doi.org/10.1007/s11571-024-10176-z","url":null,"abstract":"Autism Spectrum Disorder(ASD) is a type of neurological disorder that is common among children. The diagnosis of this disorder at an early stage is the key to reducing its effects. The major symptoms include anxiety, lack of communication, and less social interaction. This paper presents a systematic review conducted based on PRISMA guidelines for automated diagnosis of ASD. With rapid development in the field of Data Science, numerous methods have been proposed that can diagnose the disease at an early stage which can minimize the effects of the disorder. Machine learning and deep learning have proven suitable techniques for the automated diagnosis of ASD. These models have been developed on various datasets such as ABIDE I and ABIDE II, a frequently used dataset based on rs-fMRI images. Approximately 26 articles have been reviewed after the screening process. The paper highlights a comparison between different algorithms used and their accuracy as well. It was observed that most researchers used DL algorithms to develop the ASD detection model. Different accuracies were recorded with a maximum accuracy close to 0.99. Recommendations for future work have also been discussed in a later section. This analysis derived a conclusion that AI-emerged DL and ML technologies can diagnose ASD through rs-fMRI images with maximum accuracy. The comparative analysis has been included to show the accuracy range.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"3 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142268769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

EEG-based deception detection using weighted dual perspective visibility graph analysis 利用加权双视角可见度图分析进行基于脑电图的欺骗检测

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-13 DOI: 10.1007/s11571-024-10163-4

Ali Rahimi Saryazdi, Farnaz Ghassemi, Zahra Tabanfar, Sheida Ansarinasab, Fahimeh Nazarimehr, Sajad Jafari

{"title":"EEG-based deception detection using weighted dual perspective visibility graph analysis","authors":"Ali Rahimi Saryazdi, Farnaz Ghassemi, Zahra Tabanfar, Sheida Ansarinasab, Fahimeh Nazarimehr, Sajad Jafari","doi":"10.1007/s11571-024-10163-4","DOIUrl":"https://doi.org/10.1007/s11571-024-10163-4","url":null,"abstract":"Deception detection is a critical aspect across various domains. Integrating advanced signal processing techniques, particularly in neuroscientific studies, has opened new avenues for exploring deception at a deeper level. This study uses electroencephalogram (EEG) signals from a balanced cohort of 22 participants, consisting of both males and females, aged between 22 and 29, engaged in a visual task for instructed deception. We propose a novel approach in the realm of deception detection utilizing the Weighted Dual Perspective Visibility Graph (WDPVG) method to decode instructed deception by converting average epochs from each EEG channel into a complex network. Six graph-based features, including average and deviation of strength, weighted clustering coefficient, weighted clustering coefficient entropy, average weighted shortest path length, and modularity, are extracted, comprehensively representing the underlying brain dynamics associated with deception. Subsequently, these features are employed for classification using three distinct algorithms: K Nearest Neighbors (KNN), Support Vector Machine (SVM), and Decision Tree (DT). Experimental results reveal promising accuracy rates for KNN (66.64%), SVM (86.25%), and DT (82.46%). Furthermore, the features distributions of EEG networks are analyzed across different brain lobes, comparing truth-telling and lying modes. These analyses reveal the frontal and parietal lobes’ potential in distinguishing between truth and deception, highlighting their active role during deceptive behavior. The findings demonstrate the WDPVG method’s effectiveness in decoding deception from EEG signals, offering insights into the neural basis of deceptive behavior. This research could enhance the understanding of neuroscience and deception detection, providing a framework for future real-world applications.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"2 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Regulation of XOR function of reduced human L2/3 pyramidal neurons 调节人体 L2/3 锥体神经元的 XOR 功能

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-12 DOI: 10.1007/s11571-024-10175-0

Yanheng Li, Ruiming Zhang, Xiaojuan Sun

{"title":"Regulation of XOR function of reduced human L2/3 pyramidal neurons","authors":"Yanheng Li, Ruiming Zhang, Xiaojuan Sun","doi":"10.1007/s11571-024-10175-0","DOIUrl":"https://doi.org/10.1007/s11571-024-10175-0","url":null,"abstract":"The apical dendrites of human L2/3 pyramidal neurons are capable of performing XOR computation by modulating the amplitude of dendritic calcium action potentials (dCaAPs) mediated by calcium ions. What influences this particular function? There is still no answer to this question. In this study, we employed a rational and feasible reduction method to successfully derive simplified models of human L2/3 pyramidal neurons while preserving their detailed functional properties. Using a conductance-based model, we manipulated the membrane potential of the apical dendrite in the simplified model. Our findings indicate that an increase in sodium conductance (({g}_{Na})) and membrane capacitance (({C}_{m})) weakens the XOR function, while regulation of potassium conductance (({g}_{K})) demonstrates robustness in maintaining the XOR function. Further analysis reveals that when a single pathway is activated, an increase in ({g}_{Na}) and ({C}_{m}) leads to decrease in the amplitude of dCaAPs, whereas increasing ({g}_{K}) has a relatively minor impact on dCaAPs amplitude. In conclusion, although calcium ions play a crucial role in enabling apical dendrites of human L2/3 pyramidal neurons to perform XOR computation, other ion channels’ conductance and membrane capacitance can also influence this function.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"9 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Fast-slow dynamics in a memristive ion channel-based bionic circuit 基于记忆离子通道的仿生电路中的快慢动力学

IF 3.7 3区工程技术

Cognitive Neurodynamics Pub Date : 2024-09-10 DOI: 10.1007/s11571-024-10168-z

Xincheng Ding, Chengtao Feng, Ning Wang, Ao Liu, Quan Xu

{"title":"Fast-slow dynamics in a memristive ion channel-based bionic circuit","authors":"Xincheng Ding, Chengtao Feng, Ning Wang, Ao Liu, Quan Xu","doi":"10.1007/s11571-024-10168-z","DOIUrl":"https://doi.org/10.1007/s11571-024-10168-z","url":null,"abstract":"Electrophysiological properties of ion channels can influence the transport process of ions and the generation of firing patterns in an excitable biological neuron when applying an external stimulus and exceeding the excitable threshold. In this paper, a current stimulus is employed to emulate the external stimulus, and a second-order locally active memristor (LAM) is deployed to characterize the properties of ion channels. Then, a simple bionic circuit possessing the LAM, a capacitor, a DC voltage, and the current stimulus is constructed. Fast-slow dynamical effects of the current stimulus with low- and high-frequency are respectively explored. Numerical simulations disclose that the bionic circuit can generate bursting behaviors for the low-frequency current stimulus and spiking behaviors for the high-frequency current stimulus. Besides, fold and Hopf bifurcation sets are deduced and the bifurcation mechanisms for bursting behaviors are elaborated. Furthermore, the numerically simulated bursting and spiking behaviors are verified by PCB-based hardware experiments. These results reflect the feasibility of the bionic circuit in generating the firing patterns of spiking and bursting behaviors and the external current can be employed to regulate these firing patterns.","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"43 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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