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https://www.readbyqxmd.com/read/28437128/neural-dynamics-of-grouping-and-segmentation-explain-properties-of-visual-crowding
#1
Gregory Francis, Mauro Manassi, Michael H Herzog
Investigations of visual crowding, where a target is difficult to identify because of flanking elements, has largely used a theoretical perspective based on local interactions where flanking elements pool with or substitute for properties of the target. This successful theoretical approach has motivated a wide variety of empirical investigations to identify mechanisms that cause crowding, and it has suggested practical applications to mitigate crowding effects. However, this theoretical approach has been unable to account for a parallel set of findings that crowding is influenced by long-range perceptual grouping effects...
April 24, 2017: Psychological Review
https://www.readbyqxmd.com/read/28436906/nonlinear-decoupling-control-with-anfis-based-unmodeled-dynamics-compensation-for-a-class-of-complex-industrial-processes
#2
Yajun Zhang, Tianyou Chai, Hong Wang, Dianhui Wang, Xinkai Chen
Complex industrial processes are multivariable and generally exhibit strong coupling among their control loops with heavy nonlinear nature. These make it very difficult to obtain an accurate model. As a result, the conventional and data-driven control methods are difficult to apply. Using a twin-tank level control system as an example, a novel multivariable decoupling control algorithm with adaptive neural-fuzzy inference system (ANFIS)-based unmodeled dynamics (UD) compensation is proposed in this paper for a class of complex industrial processes...
April 24, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436899/adaptive-backstepping-based-neural-tracking-control-for-mimo-nonlinear-switched-systems-subject-to-input-delays
#3
Ben Niu, Lu Li
This brief proposes a new neural-network (NN)-based adaptive output tracking control scheme for a class of disturbed multiple-input multiple-output uncertain nonlinear switched systems with input delays. By combining the universal approximation ability of radial basis function NNs and adaptive backstepping recursive design with an improved multiple Lyapunov function (MLF) scheme, a novel adaptive neural output tracking controller design method is presented for the switched system. The feature of the developed design is that different coordinate transformations are adopted to overcome the conservativeness caused by adopting a common coordinate transformation for all subsystems...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436897/tensor-factorized-neural-networks
#4
Jen-Tzung Chien, Yi-Ting Bao
The growing interests in multiway data analysis and deep learning have drawn tensor factorization (TF) and neural network (NN) as the crucial topics. Conventionally, the NN model is estimated from a set of one-way observations. Such a vectorized NN is not generalized for learning the representation from multiway observations. The classification performance using vectorized NN is constrained, because the temporal or spatial information in neighboring ways is disregarded. More parameters are required to learn the complicated data structure...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436847/learning-trans-dimensional-random-fields-with-applications-to-language-modeling
#5
Bin Wang, Zhijian Ou, Zhiqiang Tan
To describe trans-dimensional observations in sample spaces of different dimensions, we propose a probabilistic model, called the trans-dimensional random field (TRF) by explicitly mixing a collection of random fields. In the framework of stochastic approximation (SA), we develop an effective training algorithm, called augmented SA, which jointly estimates the model parameters and normalizing constants while using trans-dimensional mixture sampling to generate observations of different dimensions. Furthermore, we introduce several statistical and computational techniques to improve the convergence of the training algorithm and reduce computational cost, which together enable us to successfully train TRF models on large datasets...
April 24, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28435163/progranulin-lysosomal-regulation-and-neurodegenerative-disease
#6
REVIEW
Aimee W Kao, Andrew McKay, Param Priya Singh, Anne Brunet, Eric J Huang
The discovery that heterozygous and homozygous mutations in the gene encoding progranulin are causally linked to frontotemporal dementia and lysosomal storage disease, respectively, reveals previously unrecognized roles of the progranulin protein in regulating lysosome biogenesis and function. Given the importance of lysosomes in cellular homeostasis, it is not surprising that progranulin deficiency has pleiotropic effects on neural circuit development and maintenance, stress response, innate immunity and ageing...
April 24, 2017: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/28434631/passivity-analysis-of-neural-networks-with-two-different-markovian-jumping-parameters-and-mixed-time-delays
#7
Jiaojiao Ren, Xinzhi Liu, Hong Zhu, Shouming Zhong
This paper studies the problem of passivity analysis for neural networks with two different Markovian jumping parameters and mixed time delays utilizing some integral inequalities. The integral inequalities produce sharper bounds than what the Jensen's inequality produces, consequently, better results are obtained. The Markovian jumping parameters in connection weight matrices and discrete delay are assumed to be different in the system model. By constructing a new appropriate Lyapunov-Krasovskii functional (LKF), some sufficient conditions are established which guarantee the passivity of the proposed model...
April 20, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28433713/biased-signaling-at-neural-melanocortin-receptors-in-regulation-of-energy-homeostasis
#8
Li-Kun Yang, Ya-Xiong Tao
The global prevalence of obesity highlights the importance of understanding on regulation of energy homeostasis. The central melanocortin system is an important intersection connecting the neural pathways controlling satiety and energy expenditure to regulate energy homeostasis by sensing and integrating the signals of external stimuli. In this system, neural melanocortin receptors, melanocortin-3 and -4 receptors (MC3R and MC4R), play crucial roles in the regulation of energy homeostasis. Recently, multiple intracellular signaling pathways and biased signaling at neural MCRs have been discovered, providing new insights into neural MCR signaling...
April 19, 2017: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/28433627/docosahexaenoic-acid-promotes-differentiation-of-photoreceptor-cells-in-three-dimensional-neural-retinas
#9
Eisuke Arai, Vipul M Parmar, Bhubanananda Sahu, Lindsay Perusek, Tanu Parmar, Akiko Maeda
Retinal tissues generated from human pluripotent stem cells can be an excellent tool for investigating pathogenesis of retinal diseases and developing new pharmacologic therapies. Moreover, patient derived retinal tissues could allow for retinal transplantation therapy for degenerative retinal diseases. However, obtaining retinal tissues with matured photoreceptor outer segments, which are essential for photoreceptor functions, is currently challenging. Here we investigated the effects of docosahexaenoic acid (DHA) for maturation of photoreceptor outer segments at the late stage and visual chromophore analog, 9-cis-retinal for the early stage of differentiation to three-dimensional (3D)-retinal tissues from human embryonic stem cells (hESCs), respectively...
April 19, 2017: Neuroscience Research
https://www.readbyqxmd.com/read/28433431/application-of-structured-support-vector-machine-backpropagation-to-a-convolutional-neural-network-for-human-pose-estimation
#10
Peerajak Witoonchart, Prabhas Chongstitvatana
In this study, for the first time, we show how to formulate a structured support vector machine (SSVM) as two layers in a convolutional neural network, where the top layer is a loss augmented inference layer and the bottom layer is the normal convolutional layer. We show that a deformable part model can be learned with the proposed structured SVM neural network by backpropagating the error of the deformable part model to the convolutional neural network. The forward propagation calculates the loss augmented inference and the backpropagation calculates the gradient from the loss augmented inference layer to the convolutional layer...
February 16, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28432781/cognitive-functioning-and-emotion-processing-in-breast-cancer-survivors-and-controls-an-erp-pilot-study
#11
Janine Wirkner, Mathias Weymar, Andreas Löw, Carmen Hamm, Anne-Marie Struck, Clemens Kirschbaum, Alfons O Hamm
Diagnosis and treatment of breast cancer is a very emotionally aversive and stressful life event, which can lead to impaired cognitive functioning and mental health. Breast cancer survivors responding with repressive emotion regulation strategies often show less adaptive coping and adverse outcomes. We investigated cognitive functioning and neural correlates of emotion processing using ERPs. Self-report measures of depression, anxiety, and fatigue, as well as hair cortisol as an index of chronic stress, were assessed...
April 22, 2017: Psychophysiology
https://www.readbyqxmd.com/read/28431971/influence-of-stress-associated-with-chronic-alcohol-exposure-on-drinking
#12
REVIEW
Howard C Becker
Stress is commonly regarded as an important trigger for relapse and a significant factor that promotes increased motivation to drink in some individuals. However, the relationship between stress and alcohol is complex, likely changing in form during the transition from early moderated alcohol use to more heavy uncontrolled alcohol intake. A growing body of evidence indicates that prolonged excessive alcohol consumption serves as a potent stressor, producing persistent dysregulation of brain reward and stress systems beyond normal homeostatic limits...
April 18, 2017: Neuropharmacology
https://www.readbyqxmd.com/read/28431748/a-benchtop-biorobotic-platform-for-in-vitro-observation-of-muscle-tendon-dynamics-with-parallel-mechanical-assistance-from-an-elastic-exoskeleton
#13
Benjamin D Robertson, Siddarth Vadakkeveedu, Gregory S Sawicki
We present a novel biorobotic framework comprised of a biological muscle-tendon unit (MTU) mechanically coupled to a feedback controlled robotic environment simulation that mimics in vivo inertial/gravitational loading and mechanical assistance from a parallel elastic exoskeleton. Using this system, we applied select combinations of biological muscle activation (modulated with rate-coded direct neural stimulation) and parallel elastic assistance (applied via closed-loop mechanical environment simulation) hypothesized to mimic human behavior based on previously published modeling studies...
March 21, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28431667/the-potential-and-pitfalls-of-glp-1-receptor-agonists-for-renal-protection-in-type-2-diabetes
#14
Merlin C Thomas
Glucagon-Like Peptide-1 Receptor agonists (GLP-1 RA) offer substantial benefits for the management of glucose levels in type 2 diabetes. In addition, recent data from clinical trials have demonstrated that treatment with Glucagon-Like Peptide-1 Receptor agonists (GLP-1 RA) are also able to reduce new onset macroalbuminuria. These benefits may be consistent with the known effects of GLP-1 RA on traditional risk factors for progressive kidney disease including glucose lowering, blood pressure lowering, reduced insulin levels and weight reduction...
April 2017: Diabetes & Metabolism
https://www.readbyqxmd.com/read/28431452/-treatment-options-for-neurogenic-drop-foot-a-systematic-literature-research
#15
Eike Jakubowitz, Daiwei Yao, Henning Windhagen, Christina Stukenborg-Colsman, Anna Thomann, Kiriakos Daniilidis
Background Neurogenic drop foot may be caused by central or peripheral lesions of the nervous system. Depending on whether the first or second motor neuron is damaged, a flaccid or spastic drop foot develops. Spastic drop foot persists as a residual long-term complication after stroke in about 14 % of patients. Various conservative and surgical treatment options are available. Methods This article is based on a systematic literature review for medical evidence of functional electrical stimulation (FES) with the keywords "functional electrical stimulation AND drop foot" and "functional electrical stimulation AND gait AND stroke" in PubMed and Cochrane databases...
April 21, 2017: Zeitschrift Für Orthopädie und Unfallchirurgie
https://www.readbyqxmd.com/read/28430874/developmental-sall2-transcription-factor-a-new-player-in-cancer
#16
Viviana E Hermosilla, Matias I Hepp, David Escobar, Carlos Farlas, Elizabeth N Riffo, Ariel F Castro, Roxana Pincheira
SALL2, also known as Spalt-like transcription factor 2, is a member of the SALL family of transcription factors involved in development and conserved through evolution. Since its identification in 1996, findings indicate that SALL2 plays a role in neurogenesis, neuronal differentiation and eye development. Consistently, SALL2 deficiency associates with neural tube defects and coloboma, a congenital eye disease. Relevant to cancer, clinical studies indicate that SALL2 is deregulated in various cancers, and is a specific biomarker for Synovial Sarcoma...
April 18, 2017: Carcinogenesis
https://www.readbyqxmd.com/read/28430533/new-directions-in-the-rational-design-of-electrical-and-magnetic-seizure-therapies-individualized-low-amplitude-seizure-therapy-ilast-and-magnetic-seizure-therapy-mst
#17
Thomas Radman, Sarah H Lisanby
Electroconvulsive therapy remains a key treatment option for severe cases of depression, but undesirable side-effects continue to limit its use. Innovations in the design of novel seizure therapies seek to improve its risk benefit ratio through enhanced control of the focality of stimulation. The design of seizure therapies with increased spatial precision is motivated by avoiding stimulation of deep brain structures implicated in memory retention, including the hippocampus. The development of two innovations in seizure therapy-individualized low-amplitude seizure therapy (iLAST) and magnetic seizure therapy (MST), are detailed...
April 21, 2017: International Review of Psychiatry
https://www.readbyqxmd.com/read/28430266/machine-learning-approach-to-oam-beam-demultiplexing-via-convolutional-neural-networks
#18
Timothy Doster, Abbie T Watnik
Orbital angular momentum (OAM) beams allow for increased channel capacity in free-space optical communication. Conventionally, these OAM beams are multiplexed together at a transmitter and then propagated through the atmosphere to a receiver where, due to their orthogonality properties, they are demultiplexed. We propose a technique to demultiplex these OAM-carrying beams by capturing an image of the unique multiplexing intensity pattern and training a convolutional neural network (CNN) as a classifier. This CNN-based demultiplexing method allows for simplicity of operation as alignment is unnecessary, orthogonality constraints are loosened, and costly optical hardware is not required...
April 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/28429498/separate-neural-systems-for-behavioral-change-and-for-emotional-responses-to-failure-during-behavioral-inhibition
#19
Wanlu Deng, Edmund T Rolls, Xiaoxi Ji, Trevor W Robbins, Tobias Banaschewski, Arun L W Bokde, Uli Bromberg, Christian Buechel, Sylvane Desrivières, Patricia Conrod, Herta Flor, Vincent Frouin, Juergen Gallinat, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Herve Lemaitre, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael N Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Jianfeng Feng
To analyze the involvement of different brain regions in behavioral inhibition and impulsiveness, differences in activation were investigated in fMRI data from a response inhibition task, the stop-signal task, in 1709 participants. First, areas activated more in stop-success (SS) than stop-failure (SF) included the lateral orbitofrontal cortex (OFC) extending into the inferior frontal gyrus (ventrolateral prefrontal cortex, BA 47/12), and the dorsolateral prefrontal cortex (DLPFC). Second, the anterior cingulate and anterior insula (AI) were activated more on failure trials, specifically in SF versus SS...
April 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28429160/neural-mechanisms-of-risky-decision-making-in-adolescents-reporting-frequent-alcohol-and-or-marijuana-use
#20
Eric D Claus, Sarah W Feldstein Ewing, Renee E Magnan, Erika Montanaro, Kent E Hutchison, Angela D Bryan
Because adolescence is a period of heightened exploration of new behaviors, there is a natural increase in risk taking including initial use of alcohol and marijuana. In order to better understand potential differences in neurocognitive functioning among adolescents who use drugs, the current study aimed to identify the neural substrates of risky decision making that differ among adolescents who are primary users of alcohol or marijuana, primary users of both alcohol and marijuana, and controls who report primary use of neither drug...
April 20, 2017: Brain Imaging and Behavior
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