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Cognitive Neurodynamics

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https://www.readbyqxmd.com/read/28559957/global-asymptotic-stability-of-complex-valued-neural-networks-with-additive-time-varying-delays
#1
K Subramanian, P Muthukumar
In this paper, we extensively study the global asymptotic stability problem of complex-valued neural networks with leakage delay and additive time-varying delays. By constructing a suitable Lyapunov-Krasovskii functional and applying newly developed complex valued integral inequalities, sufficient conditions for the global asymptotic stability of proposed neural networks are established in the form of complex-valued linear matrix inequalities. This linear matrix inequalities are efficiently solved by using standard available numerical packages...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28559956/from-abstract-topology-to-real-thermodynamic-brain-activity
#2
Arturo Tozzi, James F Peters
Recent approaches to brain phase spaces reinforce the foremost role of symmetries and energy requirements in the assessment of nervous activity. Changes in thermodynamic parameters and dimensions occur in the brain during symmetry breakings and transitions from one functional state to another. Based on topological results and string-like trajectories into nervous energy landscapes, we provide a novel method for the evaluation of energetic features and constraints in different brain functional activities. We show how abstract approaches, namely the Borsuk-Ulam theorem and its variants, may display real, energetic physical counterparts...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28559955/a-plausible-neural-circuit-for-decision-making-and-its-formation-based-on-reinforcement-learning
#3
Hui Wei, Dawei Dai, Yijie Bu
A human's, or lower insects', behavior is dominated by its nervous system. Each stable behavior has its own inner steps and control rules, and is regulated by a neural circuit. Understanding how the brain influences perception, thought, and behavior is a central mandate of neuroscience. The phototactic flight of insects is a widely observed deterministic behavior. Since its movement is not stochastic, the behavior should be dominated by a neural circuit. Based on the basic firing characteristics of biological neurons and the neural circuit's constitution, we designed a plausible neural circuit for this phototactic behavior from logic perspective...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28559954/route-searching-based-on-neural-networks-and-heuristic-reinforcement-learning
#4
Fengyun Zhang, Shukai Duan, Lidan Wang
In this paper, an improved and much stronger RNH-QL method based on RBF network and heuristic Q-learning was put forward for route searching in a larger state space. Firstly, it solves the problem of inefficiency of reinforcement learning if a given problem's state space is increased and there is a lack of prior information on the environment. Secondly, RBF network as weight updating rule, reward shaping can give an additional feedback to the agent in some intermediate states, which will help to guide the agent towards the goal state in a more controlled fashion...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28559953/quantitative-eeg-evaluation-for-performance-level-analysis-of-professional-female-soccer-players
#5
Kittichai Tharawadeepimuk, Yodchanan Wongsawat
Quantitative electroencephalography (QEEG) was used to investigate the brain activity of Thai professional female soccer team players who exhibit high performance. The QEEGs of 29 players were recorded three times: twice before a competition (once a week) and a week after a competition. The results of the brain topographic map (absolute power) in the alpha frequency band and the brain connectivity (coherence) in the delta frequency bands represented their anxiety and decision-making levels, respectively. These phenomena occurred in the brain activities of the athletes, which could be used to predict their performances during the competition...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28559952/multivariate-multi-scale-weighted-permutation-entropy-analysis-of-eeg-complexity-for-alzheimer-s-disease
#6
Bin Deng, Lihui Cai, Shunan Li, Ruofan Wang, Haitao Yu, Yingyuan Chen, Jiang Wang
The complexity change of brain activity in Alzheimer's disease (AD) is an interesting topic for clinical purpose. To investigate the dynamical complexity of brain activity in AD, a multivariate multi-scale weighted permutation entropy (MMSWPE) method is proposed to measure the complexity of electroencephalograph (EEG) obtained in AD patients. MMSWPE combines the weighted permutation entropy and the multivariate multi-scale method. It is able to quantify not only the characteristics of different brain regions and multiple time scales but also the amplitude information contained in the multichannel EEG signals simultaneously...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28559951/neurodynamic-evaluation-of-hearing-aid-features-using-eeg-correlates-of-listening-effort
#7
Corinna Bernarding, Daniel J Strauss, Ronny Hannemann, Harald Seidler, Farah I Corona-Strauss
In this study, we propose a novel estimate of listening effort using electroencephalographic data. This method is a translation of our past findings, gained from the evoked electroencephalographic activity, to the oscillatory EEG activity. To test this technique, electroencephalographic data from experienced hearing aid users with moderate hearing loss were recorded, wearing hearing aids. The investigated hearing aid settings were: a directional microphone combined with a noise reduction algorithm in a medium and a strong setting, the noise reduction setting turned off, and a setting using omnidirectional microphones without any noise reduction...
June 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348651/erratum-to-noise-effects-on-robust-synchronization-of-a-small-pacemaker-neuronal-ensemble-via-nonlinear-controller-electronic-circuit-design
#8
Elie Bertrand Megam Ngouonkadi, Hilaire Bertrand Fotsin, Martial Kabong Nono, Patrick Herve Louodop Fotso
[This corrects the article DOI: 10.1007/s11571-016-9393-1.].
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348650/a-basic-bifurcation-structure-from-bursting-to-spiking-of-injured-nerve-fibers-in-a-two-dimensional-parameter-space
#9
Bing Jia, Huaguang Gu, Lei Xue
Two different bifurcation scenarios of firing patterns with decreasing extracellular calcium concentrations were observed in identical sciatic nerve fibers of a chronic constriction injury (CCI) model when the extracellular 4-aminopyridine concentrations were fixed at two different levels. Both processes proceeded from period-1 bursting to period-1 spiking via complex or simple processes. Multiple typical experimental examples manifested dynamics closely matching those simulated in a recently proposed 4-dimensional model to describe the nonlinear dynamics of the CCI model, which included most cases of the bifurcation scenarios...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348649/down-regulated-expression-of-aquaporin-4-in-the-cerebellum-after-status-epilepticus
#10
Hui Tang, Chuan Shao, Jiaquan He
Status epilepticus (SE) is a common neurological condition associated with high rates of mortality and permanent brain injury. SE usually leads to neuronal death which may be accompanied by edema, epileptogenesis and learning impairment. Aquaporin-4 (AQP4), is a transmembrane water channel protein in the neuropil of the central nervous system that has an important role in water transport in the brain; AQP4 expression is altered in many pathological conditions such as changes in the blood- brain barrier and/or astrocytic activation, including seizures...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348648/regularized-common-spatial-patterns-with-subject-to-subject-transfer-of-eeg-signals
#11
Minmin Cheng, Zuhong Lu, Haixian Wang
In the context of brain-computer interface (BCI) system, the common spatial patterns (CSP) method has been used to extract discriminative spatial filters for the classification of electroencephalogram (EEG) signals. However, the classification performance of CSP typically deteriorates when a few training samples are collected from a new BCI user. In this paper, we propose an approach that maintains or improves the recognition accuracy of the system with only a small size of training data set. The proposed approach is formulated by regularizing the classical CSP technique with the strategy of transfer learning...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348647/an-eeg-based-machine-learning-method-to-screen-alcohol-use-disorder
#12
Wajid Mumtaz, Pham Lam Vuong, Likun Xia, Aamir Saeed Malik, Rusdi Bin Abd Rashid
Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity involved in the process. Hence, robust and objective methods are needed to automate the screening of AUD patients. In this paper, a machine learning method is proposed that utilized resting-state electroencephalography (EEG)-derived features as input data to classify the AUD patients and healthy controls and to perform automatic screening of AUD patients. In this context, the EEG data were recorded during 5 min of eyes closed and 5 min of eyes open conditions...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348646/complexity-of-resting-state-eeg-activity-in-the-patients-with-early-stage-parkinson-s-disease
#13
Guo-Sheng Yi, Jiang Wang, Bin Deng, Xi-Le Wei
To investigate the abnormal brain activities in the early stage of Parkinson's disease (PD), the electroencephalogram (EEG) signals were recorded with 20 channels from non-dementia PD patients (18 patients, 8 females) and age matched healthy controls (18 subjects, 8 females) during the resting state. Two methods based on the ordinal patterns of the recorded series, i.e., permutation entropy (PE) and order index (OI), were introduced to characterize the complexity of the cortical activities for two groups. It was observed that the resting-state EEG of PD patients showed lower PE and higher OI than healthy controls, which indicated that the early-stage PD caused the reduced complexity of EEG...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348645/the-feeling-of-understanding-an-exploration-with-neural-models
#14
Eduardo Mizraji, Juan Lin
There exists a dynamic interaction between the world of information and the world of concepts, which is seen as a quintessential byproduct of the cultural evolution of individuals as well as of human communities. The feeling of understanding (FU) is that subjective experience that encompasses all the emotional and intellectual processes we undergo in the process of gathering evidence to achieve an understanding of an event. This experience is part of every person that has dedicated substantial efforts in scientific areas under constant research progress...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28348644/navigation-synchronized-multimodal-control-wheelchair-from-brain-to-alternative-assistive-technologies-for-persons-with-severe-disabilities
#15
Dilok Puanhvuan, Sarawin Khemmachotikun, Pongsakorn Wechakarn, Boonyanuch Wijarn, Yodchanan Wongsawat
Currently, electric wheelchairs are commonly used to improve mobility in disabled people. In severe cases, the user is unable to control the wheelchair by themselves because his/her motor functions are disabled. To restore mobility function, a brain-controlled wheelchair (BCW) would be a promising system that would allow the patient to control the wheelchair by their thoughts. P300 is a reliable brain electrical signal, a component of visual event-related potentials (ERPs), that could be used for interpreting user commands...
April 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28174617/parameterizable-consensus-connectomes-from-the-human-connectome-project-the-budapest-reference-connectome-server-v3-0
#16
Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz
Connections of the living human brain, on a macroscopic scale, can be mapped by a diffusion MR imaging based workflow. Since the same anatomic regions can be corresponded between distinct brains, one can compare the presence or the absence of the edges, connecting the very same two anatomic regions, among multiple cortices. Previously, we have constructed the consensus braingraphs on 1015 vertices first in five, then in 96 subjects in the Budapest Reference Connectome Server v1.0 and v2.0, respectively. Here we report the construction of the version 3...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28174616/optimal-path-finding-through-mental-exploration-based-on-neural-energy-field-gradients
#17
Yihong Wang, Rubin Wang, Yating Zhu
Rodent animal can accomplish self-locating and path-finding task by forming a cognitive map in the hippocampus representing the environment. In the classical model of the cognitive map, the system (artificial animal) needs large amounts of physical exploration to study spatial environment to solve path-finding problems, which costs too much time and energy. Although Hopfield's mental exploration model makes up for the deficiency mentioned above, the path is still not efficient enough. Moreover, his model mainly focused on the artificial neural network, and clear physiological meanings has not been addressed...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28174615/dynamics-of-in-phase-and-anti-phase-bursting-in-the-coupled-pre-b%C3%A3-tzinger-complex-cells
#18
Lixia Duan, Jing Liu, Xi Chen, Pengcheng Xiao, Yong Zhao
Activity of neurons in the pre-Bötzinger complex within the mammalian brain stem has an important role in the generation of respiratory rhythms. Previous experimental results have shown that the dynamics of sodium and calcium within each cell may be responsible for various bursting mechanisms. In this paper, we study the bursting dynamics of the two-coupled pre-Bötzinger complex neurons. Using a combination of fast-slow decomposition and two-parameter bifurcation analysis, we explore the possible forms of dynamics that the model network can produce as well the transitions of in-phase and anti-phase bursting respectively...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28174614/weak-electric-fields-detectability-in-a-noisy-neural-network
#19
Jia Zhao, Bin Deng, Yingmei Qin, Cong Men, Jiang Wang, Xile Wei, Jianbing Sun
We investigate the detectability of weak electric field in a noisy neural network based on Izhikevich neuron model systematically. The neural network is composed of excitatory and inhibitory neurons with similar ratio as that in the mammalian neocortex, and the axonal conduction delays between neurons are also considered. It is found that the noise intensity can modulate the detectability of weak electric field. Stochastic resonance (SR) phenomenon induced by white noise is observed when the weak electric field is added to the network...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28174613/banknote-recognition-investigating-processing-and-cognition-framework-using-competitive-neural-network
#20
Oyebade K Oyedotun, Adnan Khashman
Humans are apt at recognizing patterns and discovering even abstract features which are sometimes embedded therein. Our ability to use the banknotes in circulation for business transactions lies in the effortlessness with which we can recognize the different banknote denominations after seeing them over a period of time. More significant is that we can usually recognize these banknote denominations irrespective of what parts of the banknotes are exposed to us visually. Furthermore, our recognition ability is largely unaffected even when these banknotes are partially occluded...
February 2017: Cognitive Neurodynamics
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