501 results match your criteria Cognitive Neurodynamics [Journal]


Placing pure experience of Eastern tradition into the neurophysiology of Western tradition.

Cogn Neurodyn 2019 Feb 8;13(1):121-123. Epub 2018 Sep 8.

BM-Science - Brain and Mind Technologies Research Centre, P.O. Box 77, 02601 Espoo, Finland.

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http://dx.doi.org/10.1007/s11571-018-9506-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339859PMC
February 2019

The impact of spike-frequency adaptation on balanced network dynamics.

Cogn Neurodyn 2019 Feb 3;13(1):105-120. Epub 2018 Sep 3.

Swarthmore College, 500 College Avenue, Swarthmore, PA 19081 USA.

A dynamic balance between strong excitatory and inhibitory neuronal inputs is hypothesized to play a pivotal role in information processing in the brain. While there is evidence of the existence of a balanced operating regime in several cortical areas and idealized neuronal network models, it is important for the theory of balanced networks to be reconciled with more physiological neuronal modeling assumptions. In this work, we examine the impact of spike-frequency adaptation, observed widely across neurons in the brain, on balanced dynamics. Read More

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http://dx.doi.org/10.1007/s11571-018-9504-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339860PMC
February 2019

Nonlinear optimal control for the synchronization of biological neurons under time-delays.

Cogn Neurodyn 2019 Feb 15;13(1):89-103. Epub 2018 Oct 15.

3Institute of Physics and Technology, Ural Federal University, Yekaterinburg, Russia 620002.

The article proposes a nonlinear optimal control method for synchronization of neurons that exhibit nonlinear dynamics and are subject to time-delays. The model of the Hindmarsh-Rose (HR) neurons is used as a case study. The dynamic model of the coupled HR neurons undergoes approximate linearization around a temporary operating point which is recomputed at each iteration of the control method. Read More

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http://dx.doi.org/10.1007/s11571-018-9510-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339857PMC
February 2019

Energy expenditure computation of a single bursting neuron.

Cogn Neurodyn 2019 Feb 3;13(1):75-87. Epub 2018 Sep 3.

2Institute of Cognitive Neurodynamics, East China University of Science and Technology, Shanghai, 200237 China.

Brief bursts of high-frequency spikes are a common firing pattern of neurons. The cellular mechanisms of bursting and its biological significance remain a matter of debate. Focusing on the energy aspect, this paper proposes a neural energy calculation method based on the Chay model of bursting. Read More

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http://dx.doi.org/10.1007/s11571-018-9503-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339863PMC
February 2019

Burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity.

Cogn Neurodyn 2019 Feb 11;13(1):53-73. Epub 2018 Sep 11.

Institute for Computational Neuroscience and Department of Science Education, Daegu National University of Education, Daegu, 42411 Korea.

We are concerned about burst synchronization (BS), related to neural information processes in health and disease, in the Barabási-Albert scale-free network (SFN) composed of inhibitory bursting Hindmarsh-Rose neurons. This inhibitory neuronal population has adaptive dynamic synaptic strengths governed by the inhibitory spike-timing-dependent plasticity (iSTDP). In previous works without considering iSTDP, BS was found to appear in a range of noise intensities for fixed synaptic inhibition strengths. Read More

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http://dx.doi.org/10.1007/s11571-018-9505-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339861PMC
February 2019
1 Read

Analysis of heart rate signals during meditation using visibility graph complexity.

Cogn Neurodyn 2019 Feb 27;13(1):45-52. Epub 2018 Aug 27.

Department of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, Iran.

In the dynamics analysis of heart rate, the complexity of visibility graphs (VGs) is seen as a sign of short term variability in signals. The present study was conducted to investigate the possible impact of meditation on heart rate signals complexity using VG method. In this study, existing heart rate signals in Physionet database were used. Read More

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http://dx.doi.org/10.1007/s11571-018-9501-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339864PMC
February 2019

Effects of aerobic exercise on sad emotion regulation in young women: an electroencephalograph study.

Cogn Neurodyn 2019 Feb 11;13(1):33-43. Epub 2018 Nov 11.

5Science and Technology Policy Research and Information Center, National Applied Research Laboratories, 15F, No. 106, Sec. 2, Heping E. Rd, Taipei, 10636 Taiwan, ROC.

The effects of exercise on cognitive abilities have been studied. However, evidence regarding the neural substrates of sad emotion regulation is limited. Women have higher rates for affective disorders than men, but insufficient outcomes assess how aerobic exercises modulate central frontal activation in sad emotion inhibition and resilience among healthy women. Read More

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http://dx.doi.org/10.1007/s11571-018-9511-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339865PMC
February 2019

Music of brain and music on brain: a novel EEG sonification approach.

Cogn Neurodyn 2019 Feb 28;13(1):13-31. Epub 2018 Aug 28.

1Sir C.V. Raman Centre for Physics and Music, Jadavpur University, Kolkata, India.

Can we hear the sound of our brain? Is there any technique which can enable us to hear the neuro-electrical impulses originating from the different lobes of brain? The answer to all these questions is YES. In this paper we present a novel method with which we can sonify the electroencephalogram (EEG) data recorded in "control" state as well as under the influence of a simple acoustical stimuli-a tanpura drone. The tanpura has a very simple construction yet the tanpura drone exhibits very complex acoustic features, which is generally used for creation of an ambience during a musical performance. Read More

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http://dx.doi.org/10.1007/s11571-018-9502-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339862PMC
February 2019

Atypical temporal-scale-specific fractal changes in Alzheimer's disease EEG and their relevance to cognitive decline.

Cogn Neurodyn 2019 Feb 8;13(1):1-11. Epub 2018 Oct 8.

4Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Yoshida, Fukui, 910-1193 Japan.

Recent advances in nonlinear analytic methods for electroencephalography have clarified the reduced complexity of spatiotemporal dynamics in brain activity observed in Alzheimer's disease (AD). However, there are far fewer studies exploring temporal scale dependent fractal properties in AD, despite the importance of studying the dynamics of brain activity within physiologically relevant frequency ranges. Higuchi's fractal dimension is a widely used index for evaluating fractality in brain activity, but temporal-scale-specific characteristics are lost due to its requirement of averaging over the entire range of temporal scales. Read More

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http://dx.doi.org/10.1007/s11571-018-9509-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339858PMC
February 2019
1 Read

Suppressing bursting synchronization in a modular neuronal network with synaptic plasticity.

Cogn Neurodyn 2018 Dec 12;12(6):625-636. Epub 2018 Aug 12.

2Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, 710072 People's Republic of China.

Excessive synchronization of neurons in cerebral cortex is believed to play a crucial role in the emergence of neuropsychological disorders such as Parkinson's disease, epilepsy and essential tremor. This study, by constructing a modular neuronal network with modified Oja's learning rule, explores how to eliminate the pathological synchronized rhythm of interacted busting neurons numerically. When all neurons in the modular neuronal network are strongly synchronous within a specific range of coupling strength, the result reveals that synaptic plasticity with large learning rate can suppress bursting synchronization effectively. Read More

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http://dx.doi.org/10.1007/s11571-018-9498-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233333PMC
December 2018
3 Reads

Simulation of retinal ganglion cell response using fast independent component analysis.

Cogn Neurodyn 2018 Dec 7;12(6):615-624. Epub 2018 Jul 7.

1College of Computer Science, Hangzhou Dianzi University, Zhejiang, China.

Advances in neurobiology suggest that neuronal response of the primary visual cortex to natural stimuli may be attributed to sparse approximation of images, encoding stimuli to activate specific neurons although the underlying mechanisms are still unclear. The responses of retinal ganglion cells (RGCs) to natural and random checkerboard stimuli were simulated using fast independent component analysis. The neuronal response to stimuli was measured using kurtosis and Treves-Rolls sparseness, and the kurtosis, lifetime and population sparseness were analyzed. Read More

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http://dx.doi.org/10.1007/s11571-018-9490-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233330PMC
December 2018
1 Read

Complex dynamics of a neuron model with discontinuous magnetic induction and exposed to external radiation.

Cogn Neurodyn 2018 Dec 14;12(6):607-614. Epub 2018 Jul 14.

5Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

The last two decades have seen many literatures on the mathematical and computational analysis of neuronal activities resulting in many mathematical models to describe neuron. Many of those models have described the membrane potential of a neuron in terms of the leakage current and the synaptic inputs. Only recently researchers have proposed a new neuron model based on the electromagnetic induction theorem, which considers inner magnetic fluctuation and external electromagnetic radiation as a significant missing part that can participate in neural activity. Read More

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http://dx.doi.org/10.1007/s11571-018-9497-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233326PMC
December 2018
8 Reads

EEG classification of driver mental states by deep learning.

Cogn Neurodyn 2018 Dec 18;12(6):597-606. Epub 2018 Jul 18.

School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China.

Driver fatigue is attracting more and more attention, as it is the main cause of traffic accidents, which bring great harm to society and families. This paper proposes to use deep convolutional neural networks, and deep residual learning, to predict the mental states of drivers from electroencephalography (EEG) signals. Accordingly we have developed two mental state classification models called EEG-Conv and EEG-Conv-R. Read More

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http://dx.doi.org/10.1007/s11571-018-9496-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233328PMC
December 2018
1 Read
1.770 Impact Factor

Higher-order spectral analysis of spontaneous speech signals in Alzheimer's disease.

Cogn Neurodyn 2018 Dec 27;12(6):583-596. Epub 2018 Aug 27.

Department of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, Iran.

An early and accurate diagnosis of Alzheimer's disease (AD) has been progressively attracting more attention in recent years. One of the main problems of AD is the loss of language skills. This paper presents a computational framework for classifying AD patients compared to healthy control subjects using information from spontaneous speech signals. Read More

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http://dx.doi.org/10.1007/s11571-018-9499-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233329PMC
December 2018
8 Reads
1.770 Impact Factor

Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness.

Cogn Neurodyn 2018 Dec 14;12(6):569-581. Epub 2018 Jul 14.

Department of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819 Liaoning China.

A large number of traffic accidents due to driver drowsiness have been under more attention of many countries. The organization of the functional brain network is associated with drowsiness, but little is known about the brain network topology that is modulated by drowsiness. To clarify this problem, in this study, we introduce a novel approach to detect driver drowsiness. Read More

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http://dx.doi.org/10.1007/s11571-018-9495-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233332PMC
December 2018
1 Read

Aging-related changes of EEG synchronization during a visual working memory task.

Cogn Neurodyn 2018 Dec 8;12(6):561-568. Epub 2018 Sep 8.

1The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049 Shaanxi Province People's Republic of China.

Differences of EEG synchronization between normal old and young people during a working memory (WM) task were investigated. The synchronization likelihood (SL) is a novel method to assessed synchronization in multivariate time series for non-stationary systems. To evaluate this method to study the mechanisms of WM, we calculated the SL values in brain electrical activity for both resting state and task state. Read More

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http://link.springer.com/10.1007/s11571-018-9500-6
Publisher Site
http://dx.doi.org/10.1007/s11571-018-9500-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233325PMC
December 2018
11 Reads

Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain.

Cogn Neurodyn 2018 Dec 6;12(6):549-559. Epub 2018 Oct 6.

1PIT Bioinformatics Group, Eötvös University, Budapest, 1117 Hungary.

Deep, classical graph-theoretical parameters, like the size of the minimum vertex cover, the chromatic number, or the eigengap of the adjacency matrix of the graph were studied widely by mathematicians in the last century. Most researchers today study much simpler parameters of braingraphs or connectomes which were defined in the last twenty years for enormous networks-like the graph of the World Wide Web-with hundreds of millions of nodes. Since the connectomes, describing the connections of the human brain, typically contain several hundred vertices today, one can compute and analyze the much deeper, harder-to-compute classical graph parameters for these, relatively small graphs of the brain. Read More

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http://dx.doi.org/10.1007/s11571-018-9508-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233331PMC
December 2018
1 Read

A feature-based neurocomputational model of semantic memory.

Cogn Neurodyn 2018 Dec 7;12(6):525-547. Epub 2018 Jul 7.

2NEtS Center, Scuola Universitaria Superiore IUSS, Pavia, Italy.

According with a featural organization of semantic memory, this work is aimed at investigating, through an attractor network, the role of different kinds of features in the representation of concepts, both in normal and neurodegenerative conditions. We implemented new synaptic learning rules in order to take into account the role of partially shared features and of distinctive features with different saliency. The model includes semantic and lexical layers, coding, respectively for object features and word-forms. Read More

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http://dx.doi.org/10.1007/s11571-018-9494-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233327PMC
December 2018
1 Read

An observational learning task using Barnes maze in rats.

Cogn Neurodyn 2018 Oct 26;12(5):519-523. Epub 2018 Jun 26.

Laboratory of Neural Information, Graduate School of Brain Science, Doshisha University, Kyotanabe, 610-0394 Japan.

Observational learning, which modulates one's own behavior by observing the adaptive behavior of others, is crucial for behaving efficiently in social communities. Although many behavioral experiments have reported observational learning in monkeys and humans, its neural mechanisms are still unknown. In order to conduct neuroscientific researches with recording neural activities, we developed an observational learning task for rats. Read More

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http://dx.doi.org/10.1007/s11571-018-9493-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139103PMC
October 2018
1 Read

Vibrational resonance in a randomly connected neural network.

Cogn Neurodyn 2018 Oct 20;12(5):509-518. Epub 2018 Jun 20.

2Key Laboratory of Cognition and Personality (Ministry of Education) and Faculty of Psychology, Southwest University, Chongqing, China.

A randomly connected network is constructed with similar characteristics (e.g., the ratio of excitatory and inhibitory neurons, the connection probability between neurons, and the axonal conduction delays) as that in the mammalian neocortex and the effects of high-frequency electrical field on the response of the network to a subthreshold low-frequency electrical field are studied in detail. Read More

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http://dx.doi.org/10.1007/s11571-018-9492-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139105PMC
October 2018
2 Reads

The informational entropy endowed in cortical oscillations.

Cogn Neurodyn 2018 Oct 18;12(5):501-507. Epub 2018 Jun 18.

4Applied Sciences School, Department of International Trading, Department of Statistics, Faculty of Arts and Science, Usak University, Usak, Turkey.

A two-dimensional shadow may encompass more information than its corresponding three-dimensional object. Indeed, if we rotate the object, we achieve a pool of observed shadows from different angulations, gradients, shapes and variable length contours that make it possible for us to increase our available information. Starting from this simple observation, we show how informational entropies might turn out to be useful in the evaluation of scale-free dynamics in the brain. Read More

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http://dx.doi.org/10.1007/s11571-018-9491-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139100PMC
October 2018
2 Reads

An oscillatory neural network model that demonstrates the benefits of multisensory learning.

Cogn Neurodyn 2018 Oct 7;12(5):481-499. Epub 2018 Jun 7.

Gildart Haase School of Computer Sciences and Engineering, Fairleigh Dickinson University, Teaneck, NJ USA.

Since the world consists of objects that stimulate multiple senses, it is advantageous for a vertebrate to integrate all the sensory information available. However, the precise mechanisms governing the temporal dynamics of multisensory processing are not well understood. We develop a computational modeling approach to investigate these mechanisms. Read More

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http://dx.doi.org/10.1007/s11571-018-9489-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139104PMC
October 2018
14 Reads

Electrophysiological and neuropsychological outcomes of severe obstructive sleep apnea: effects of hypoxemia on cognitive performance.

Cogn Neurodyn 2018 Oct 25;12(5):471-480. Epub 2018 May 25.

1Department of Neurosciences, Institute of Health Sciences, Dokuz Eylül University, 35340 Izmir, Turkey.

Obstructive sleep apnea syndrome (OSAS) is a sleep disorder characterized with upper airway obstructions. Some studies showed cognitive and electrophysiological changes in patients with OSAS; however, contradictory results were also reported. The purpose of the present study was twofold: (1) to investigate cognitive changes in severe OSAS patients by using neuropsychological tests and electrophysiological methods together, (2) to investigate influence of hypoxemia levels on cognition. Read More

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http://dx.doi.org/10.1007/s11571-018-9487-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139099PMC
October 2018
2 Reads

Examining stability of independent component analysis based on coefficient and component matrices for voxel-based morphometry of structural magnetic resonance imaging.

Cogn Neurodyn 2018 Oct 20;12(5):461-470. Epub 2018 Mar 20.

2Department of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.

Independent component analysis (ICA) on group-level voxel-based morphometry (VBM) produces the coefficient matrix and the component matrix. The former contains variability among multiple subjects for further statistical analysis, and the latter reveals spatial maps common for all subjects. ICA algorithms converge to local optimization points in practice and the mostly applied stability investigation approach examines the stability of the extracted components. Read More

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http://dx.doi.org/10.1007/s11571-018-9484-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139102PMC
October 2018
1 Read

Personality development in psychotherapy: a synergetic model of state-trait dynamics.

Cogn Neurodyn 2018 Oct 4;12(5):441-459. Epub 2018 Jun 4.

1Institute of Synergetics and Psychotherapy Research, Paracelsus Medical University, Salzburg, Austria.

Theoretical models of psychotherapy not only try to predict outcome but also intend to explain patterns of change. Studies showed that psychotherapeutic change processes are characterized by nonlinearity, complexity, and discontinuous transitions. By this, theoretical models of psychotherapy should be able to reproduce these dynamic features. Read More

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http://dx.doi.org/10.1007/s11571-018-9488-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139101PMC
October 2018
2 Reads

Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model.

Cogn Neurodyn 2018 Aug 16;12(4):431-440. Epub 2018 Apr 16.

The Center of Collaboration and Innovation, Jiangxi University of Technology, Ziyang Road, Nanchang, 330098 Jiangxi Province China.

Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method to automatically detect driver fatigue is urgently needed. In this study, in order to catch the main characteristics of the EEG signals, four types of entropies (based on the EEG signal of a single channel) were calculated as the feature sets, including sample entropy, fuzzy entropy, approximate entropy and spectral entropy. All feature sets were used as the input of a gradient boosting decision tree (GBDT), a fast and highly accurate boosting ensemble method. Read More

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http://link.springer.com/10.1007/s11571-018-9485-1
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http://dx.doi.org/10.1007/s11571-018-9485-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048010PMC
August 2018
8 Reads

PCA based population generation for genetic network optimization.

Cogn Neurodyn 2018 Aug 30;12(4):417-429. Epub 2018 Apr 30.

2Faculty of Science and Technology, Federation University Australia, Gippsland, Australia.

A gene regulatory network (GRN) represents a set of genes and its regulatory interactions. The inference of the regulatory interactions between genes is usually carried out using an appropriate mathematical model and the available gene expression profile. Among the various models proposed for GRN inference, our recently proposed Michaelis-Menten based ODE model provides a good trade-off between the computational complexity and biological relevance. Read More

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http://link.springer.com/10.1007/s11571-018-9486-0
Publisher Site
http://dx.doi.org/10.1007/s11571-018-9486-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048016PMC
August 2018
16 Reads

Maintenance of postsynaptic neuronal excitability by a positive feedback loop of postsynaptic BDNF expression.

Cogn Neurodyn 2018 Aug 26;12(4):403-416. Epub 2018 Feb 26.

3Zhou Pei-Yuan Center for Applied Mathematics, MOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing, 100084 China.

Experiments have demonstrated that in mice, the PVT strongly projects to the CeL and participates in the formation of fear memories by synaptic potentiation in the amygdala. Herein, we propose a mathematical model based on a positive feedback loop of BDNF expression and signaling to investigate PVT manipulation of synaptic potentiation. The model is validated by comparisons with experimental observations. Read More

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http://link.springer.com/10.1007/s11571-018-9479-z
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http://dx.doi.org/10.1007/s11571-018-9479-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048012PMC
August 2018
9 Reads

Influence of active synaptic pools on the single synaptic event.

Cogn Neurodyn 2018 Aug 9;12(4):391-402. Epub 2018 Mar 9.

Istituto di Scienze Applicate e Sistemi Intelligenti del CNR, c/o Complesso "A. Olivetti", Via Campi Flegrei 34, 80078 Pozzuoli, NA Italy.

The activity of the single synapse is the base of information processing and transmission in the brain as well as of important phenomena as the Long Term Potentiation which is the main mechanism for learning and memory. Although usually considered as independent events, the single quantum release gives variable postsynaptic responses which not only depend on the properties of the synapses but can be strongly influenced by the activity of other synapses. In the present paper we show the results of a series of computational experiments where pools of active synapses, in a compatible time window, influence the response of a single synapse of the considered pool. Read More

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http://dx.doi.org/10.1007/s11571-018-9483-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048015PMC
August 2018
1 Read

The effect of nasal polyposis related nasal obstruction on cognitive functions.

Cogn Neurodyn 2018 Aug 2;12(4):385-390. Epub 2018 Mar 2.

3Department of Otolaryngology, Head and Neck Surgery, Gulhane Medical School, Ankara, Turkey.

Chronic rhinosinusitis with nasal polyposis is a chronic inflammatory disease of the respiratory mucosa of the nasal cavity and paranasal sinuses. The aim of this study was investigate the effect of nasal obstruction related to chronic rhinosinusitis with nasal polyposis on cognitive functions. Patients with chronic rhinosinusitis with nasal polyposis causing bilateral total or near total nasal obstruction were enrolled in the study. Read More

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http://dx.doi.org/10.1007/s11571-018-9482-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048009PMC
August 2018
14 Reads

Neonatal exposure of ketamine inhibited the induction of hippocampal long-term potentiation without impairing the spatial memory of adult rats.

Cogn Neurodyn 2018 Aug 22;12(4):377-383. Epub 2018 Feb 22.

9Department of Surgery, The University of Hong Kong, Pokfulam, Hong Kong.

Ketamine is one of general anesthetics and has been commonly used in obstetric and pediatric anesthesia. However, effects of exposure to ketamine on neonatal brain are largely unknown. In this study, we aim to investigate the effect of neonatal exposure of ketamine on spatial memory and long-term potentiation (LTP) in the hippocampus of adult rats. Read More

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http://link.springer.com/10.1007/s11571-018-9474-4
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http://dx.doi.org/10.1007/s11571-018-9474-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048013PMC
August 2018
11 Reads

A novel real-time driving fatigue detection system based on wireless dry EEG.

Cogn Neurodyn 2018 Aug 21;12(4):365-376. Epub 2018 Feb 21.

1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.

Development of techniques for detection of mental fatigue has varied applications in areas where sustaining attention is of critical importance like security and transportation. The objective of this study is to develop a novel real-time driving fatigue detection methodology based on dry Electroencephalographic (EEG) signals. The study has employed two methods in the online detection of mental fatigue: power spectrum density () and sample entropy (SE). Read More

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http://dx.doi.org/10.1007/s11571-018-9481-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048011PMC
August 2018
3 Reads

How visual stimulus effects the time perception? The evidence from time perception of emotional videos.

Cogn Neurodyn 2018 Aug 9;12(4):357-363. Epub 2018 Feb 9.

1Department of Physiology, Istanbul Faculty of Medicine, İstanbul University, Çapa, 34353 Istanbul, Turkey.

Time perception is defined as a subjective judgment on the elapsed time of an event. It can change according to both external and internal factors. There are two main paradigms of time perception; retrospective time perception (RTP) and prospective time perception (PTP). Read More

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http://dx.doi.org/10.1007/s11571-018-9480-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048014PMC
August 2018
2 Reads

Fatigue-life distributions for reaction time data.

Cogn Neurodyn 2018 Jun 10;12(3):351-356. Epub 2018 Jan 10.

3School of Psychology, The University of Adelaide, Adelaide, Australia.

The family of fatigue-life distributions is introduced as an alternative model of reaction time data. This family includes the shifted Wald distribution and a shifted version of the Birnbaum-Saunders distribution. Although the former has been proposed as a way to model reaction time data, the latter has not. Read More

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http://dx.doi.org/10.1007/s11571-017-9473-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943209PMC
June 2018
2 Reads

Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh-Nagumo neuron.

Authors:
Yuangen Yao Jun Ma

Cogn Neurodyn 2018 Jun 15;12(3):343-349. Epub 2018 Jan 15.

2Department of Physics, Lanzhou University of Technology, Lanzhou, China.

Based on the FitzHugh-Nagumo (FHN) neuron model subjected to sine-Wiener (SW) noise, impacts of SW noise on weak periodic signal detection are investigated by calculating response measure Q for characterizing synchronization between the input signal and the output temporal activities of the neuron. It is numerically demonstrated that the response measure Q can achieve the optimal value under appropriate and moderate intensity or correlation time of SW noise, suggesting the occurrence of SW-noise-induced stochastic resonance. Furthermore, the optimal value of Q is sensitive to correlation time. Read More

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http://dx.doi.org/10.1007/s11571-018-9475-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943210PMC
June 2018
3 Reads

Effect of spike-timing-dependent plasticity on stochastic burst synchronization in a scale-free neuronal network.

Cogn Neurodyn 2018 Jun 10;12(3):315-342. Epub 2018 Jan 10.

Institute for Computational Neuroscience and Department of Science Education, Daegu National University of Education, Daegu, 42411 Korea.

We consider an excitatory population of subthreshold Izhikevich neurons which cannot fire spontaneously without noise. As the coupling strength passes a threshold, individual neurons exhibit noise-induced burstings. This neuronal population has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). Read More

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http://dx.doi.org/10.1007/s11571-017-9470-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943207PMC
June 2018
5 Reads

Protective effects of evodiamine in experimental paradigm of Alzheimer's disease.

Cogn Neurodyn 2018 Jun 25;12(3):303-313. Epub 2018 Jan 25.

3Department of Biochemistry and Molecular Biology, Medical College, Henan University of Science and Technology, No. 263, Kaiyuan Avenue, Luolong District, Luoyang, 471023 People's Republic of China.

Evodiamine, a major component of , has been reported to possess various pharmacological activities, including anti-inflammatory, antioxidative stress, and neuroprotective effects. Our previous study has shown that the potential effects of evodiamine on the learning and memory impairments in the transgenic mouse model of Alzheimer's disease (AD). The present study was designed to investigate neuroprotective mechanism and therapeutic potential of evodiamine against intracerebroventricular streptozotocin (ICV-STZ)-induced experimental sporadic Alzheimer's disease in mice. Read More

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http://dx.doi.org/10.1007/s11571-017-9471-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943208PMC
June 2018
20 Reads

Neuroelectric responses of sportsmen and sedentaries under cognitive stress.

Cogn Neurodyn 2018 Jun 23;12(3):295-301. Epub 2018 Jan 23.

3School of Sport Sciences and Technology, Dokuz Eylül University, Izmir, Turkey.

Stress and anxiety are states which sportsmen are continuously exposed to. Our study aimed to evaluate neuroelectrical peripheral and central nervous system responses of sportsmen (SPR) and sedentary individuals (SED) during concentration grid test (CGT) employed under time pressure. Forty three SPR and 33 SED participated in the study. Read More

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http://dx.doi.org/10.1007/s11571-018-9478-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943213PMC
June 2018
3 Reads

Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach.

Authors:
Lal Hussain

Cogn Neurodyn 2018 Jun 25;12(3):271-294. Epub 2018 Jan 25.

1Quality Enhancement Cell (QEC), The University of Azad Jammu and Kashmir, City Campus, Muzaffarabad, Azad Kashmir 13100 Pakistan.

Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. Read More

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http://dx.doi.org/10.1007/s11571-018-9477-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943212PMC
June 2018
19 Reads

Developmental trends of theta-beta interelectrode power correlation during resting state in normal children.

Cogn Neurodyn 2018 Jun 25;12(3):255-269. Epub 2018 Jan 25.

1Laboratory of Human Psychobiology, Experimental Psychology Department, Psychology School, University of Sevilla, C/Camilo Jose Cela, s/n, 4018 Seville, Spain.

The possibility that power-to-power (theta-beta) frequency coupling increases during development was analyzed. Three minutes of spontaneous EEG in an open eyes condition were recorded in a sample of 160 subjects ranging from 6 to 26 years old. Theta (4-7 Hz) and beta band (15-20 Hz) power was calculated in a trial-by-trial basis. Read More

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http://dx.doi.org/10.1007/s11571-018-9476-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943211PMC
June 2018
3 Reads

Defects formation and spiral waves in a network of neurons in presence of electromagnetic induction.

Cogn Neurodyn 2018 Apr 9;12(2):235-254. Epub 2018 Jan 9.

Biomedical Engineering Department, Amirkabir University of Technology, Tehran, 15875-4413 Iran.

Complex anatomical and physiological structure of an excitable tissue (e.g., cardiac tissue) in the body can represent different electrical activities through normal or abnormal behavior. Read More

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http://dx.doi.org/10.1007/s11571-017-9472-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852017PMC
April 2018
4 Reads

Measuring spike timing distance in the Hindmarsh-Rose neurons.

Cogn Neurodyn 2018 Apr 27;12(2):225-234. Epub 2017 Dec 27.

State Key Laboratory of Mechanics and Control of Mechanical Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, 29 YuDao Street, Nanjing, 210016 Jiangsu Province People's Republic of China.

In the present paper, a simple spike timing distance is defined which can be used to measure the degree of synchronization with the information only encoded in the precise timing of the spike trains. Via calculating the spike timing distance defined in this paper, the spike train similarity of uncoupled Hindmarsh-Rose neurons in bursting or spiking states with different initial conditions is investigated and the results are compared with other spike train distance measures. Later, the spike timing distance measure is applied to study the synchronization of coupled or common noise-stimulated neurons. Read More

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http://dx.doi.org/10.1007/s11571-017-9466-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852013PMC
April 2018
4 Reads

Mesoscopic neuron population modeling of normal/epileptic brain dynamics.

Cogn Neurodyn 2018 Apr 26;12(2):211-223. Epub 2017 Dec 26.

2Department of Mathematics, University of Memphis, Memphis, TN USA.

Simulations of EEG data provide the understanding of how the limbic system exhibits normal and abnormal states of the electrical activity of the brain. While brain activity exhibits a type of homeostasis of excitatory and inhibitory mesoscopic neuron behavior, abnormal neural firings found in the seizure state exhibits brain instability due to runaway oscillatory entrained neural behavior. We utilize a model of mesoscopic brain activity, the KIV model, where each network represents the areas of the limbic system, i. Read More

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http://dx.doi.org/10.1007/s11571-017-9468-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852015PMC
April 2018
4 Reads

Dancers and fastball sports athletes have different spatial visual attention styles.

Cogn Neurodyn 2018 Apr 8;12(2):201-209. Epub 2018 Jan 8.

5Department of Music and Performing Arts, The Art and Design Faculty, YTU, Istanbul, Turkey.

Physical exercise and the training effects of repeated practice of skills over an extended period of time may have additive effects on brain networks and functions. Various motor skills and attentional styles can be developed by athletes engaged in different sports. In this study, the effects of fast ball sports and dance training on attention were investigated by event related potentials (ERP). Read More

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http://dx.doi.org/10.1007/s11571-017-9469-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852016PMC
April 2018
5 Reads

Analysis of long range dependence in the EEG signals of Alzheimer patients.

Cogn Neurodyn 2018 Apr 5;12(2):183-199. Epub 2018 Jan 5.

2Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India.

Alzheimer's disease (AD), a cognitive disability is analysed using a long range dependence parameter, hurst exponent (HE), calculated based on the time domain analysis of the measured electrical activity of brain. The electroencephalogram (EEG) signals of controls and mild cognitive impairment (MCI)-AD patients are evaluated under normal resting and mental arithmetic conditions. Simultaneous low pass filtering and total variation denoising algorithm is employed for preprocessing. Read More

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http://dx.doi.org/10.1007/s11571-017-9467-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852014PMC
April 2018
25 Reads

A gaze bias with coarse spatial indexing during a gambling task.

Cogn Neurodyn 2018 Apr 8;12(2):171-181. Epub 2017 Dec 8.

1Graduate School of Systems Life Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582 Japan.

Researchers have used eye-tracking methods to infer cognitive processes during decision making in choice tasks involving visual materials. Gaze likelihood analysis has shown a cascading effect, suggestive of a causal role for the gaze in preference formation during evaluative decision making. According to the gaze bias hypothesis, the gaze serves to build commitment gradually towards a choice. Read More

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http://dx.doi.org/10.1007/s11571-017-9463-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852011PMC
April 2018
4 Reads

Decoding the different states of visual attention using functional and effective connectivity features in fMRI data.

Cogn Neurodyn 2018 Apr 25;12(2):157-170. Epub 2017 Nov 25.

2School of Cognitive Sciences (SCS), Institute for Research in Fundamental Science (IPM), Niavaran, Tehran, Iran.

The present paper concentrates on the impact of visual attention task on structure of the brain functional and effective connectivity networks using coherence and Granger causality methods. Since most studies used correlation method and resting-state functional connectivity, the task-based approach was selected for this experiment to boost our knowledge of spatial and feature-based attention. In the present study, the whole brain was divided into 82 sub-regions based on Brodmann areas. Read More

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http://dx.doi.org/10.1007/s11571-017-9461-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852010PMC
April 2018
4 Reads

A review on EEG-based methods for screening and diagnosing alcohol use disorder.

Cogn Neurodyn 2018 Apr 5;12(2):141-156. Epub 2017 Dec 5.

2Universiti Malaya, Aras 21, Wisma R&D Universiti Malaya, Jalan Pantai Bharu, 59200 Kuala Lumpur, Malaysia.

The screening test for alcohol use disorder (AUD) patients has been of subjective nature and could be misleading in particular cases such as a misreporting the actual quantity of alcohol intake. Although the neuroimaging modality such as electroencephalography (EEG) has shown promising research results in achieving objectivity during the screening and diagnosis of AUD patients. However, the translation of these findings for clinical applications has been largely understudied and hence less clear. Read More

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http://dx.doi.org/10.1007/s11571-017-9465-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852012PMC
April 2018
5 Reads

A roadmap to computational social neuroscience.

Cogn Neurodyn 2018 Feb 7;12(1):135-140. Epub 2017 Dec 7.

1Center for Complex Systems and Brain Sciences, Florida Atlantic University, 777 Glades Rd., Boca Raton, FL 33431 USA.

To complement experimental efforts toward understanding human social interactions at both neural and behavioral levels, two computational approaches are presented: (1) a fully parameterizable mathematical model of a social partner, the Human Dynamic Clamp which, by virtue of experimentally controlled interactions between Virtual Partners and real people, allows for emergent behaviors to be studied; and (2) a multiscale neurocomputational model of social coordination that enables exploration of social self-organization at all levels-from neuronal patterns to people interacting with each other. These complementary frameworks and the cross product of their analysis aim at understanding the fundamental principles governing social behavior. Read More

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http://dx.doi.org/10.1007/s11571-017-9462-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801284PMC
February 2018
6 Reads

Finite-time and fixed-time synchronization analysis of inertial memristive neural networks with time-varying delays.

Cogn Neurodyn 2018 Feb 21;12(1):121-134. Epub 2017 Sep 21.

2Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589 Saudi Arabia.

This paper investigates the finite-time synchronization and fixed-time synchronization problems of inertial memristive neural networks with time-varying delays. By utilizing the Filippov discontinuous theory and Lyapunov stability theory, several sufficient conditions are derived to ensure finite-time synchronization of inertial memristive neural networks. Then, for the purpose of making the setting time independent of initial condition, we consider the fixed-time synchronization. Read More

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http://dx.doi.org/10.1007/s11571-017-9455-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801278PMC
February 2018
4 Reads