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https://www.readbyqxmd.com/read/28550423/tactile-feedback-is-an-effective-instrument-for-the-training-of-grasping-with-a-prosthesis-at-low-and-medium-force-levels
#1
Alessandro Marco De Nunzio, Strahinja Dosen, Sabrina Lemling, Marko Markovic, Meike Annika Schweisfurth, Nan Ge, Bernhard Graimann, Deborah Falla, Dario Farina
Grasping is a complex task routinely performed in an anticipatory (feedforward) manner, where sensory feedback is responsible for learning and updating the internal model of grasp dynamics. This study aims at evaluating whether providing a proportional tactile force feedback during the myoelectric control of a prosthesis facilitates learning a stable internal model of the prosthesis force control. Ten able-bodied subjects controlled a sensorized myoelectric prosthesis performing four blocks of consecutive grasps at three levels of target force (30, 50, and 70%), repeatedly closing the fully opened hand...
May 26, 2017: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/28546808/improving-classification-performance-through-an-advanced-ensemble-based-heterogeneous-extreme-learning-machines
#2
Adnan O M Abuassba, Dezheng Zhang, Xiong Luo, Ahmad Shaheryar, Hazrat Ali
Extreme Learning Machine (ELM) is a fast-learning algorithm for a single-hidden layer feedforward neural network (SLFN). It often has good generalization performance. However, there are chances that it might overfit the training data due to having more hidden nodes than needed. To address the generalization performance, we use a heterogeneous ensemble approach. We propose an Advanced ELM Ensemble (AELME) for classification, which includes Regularized-ELM, L2-norm-optimized ELM (ELML2), and Kernel-ELM. The ensemble is constructed by training a randomly chosen ELM classifier on a subset of training data selected through random resampling...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28539421/sound-making-actions-lead-to-immediate-plastic-changes-of-neuromagnetic-evoked-responses-and-induced-beta-band-oscillations-during-perception
#3
Bernhard Ross, Masihullah Barat, Takako Fujioka
Auditory and sensorimotor brain areas interact during the action-perception cycle of sound making. Neurophysiological evidence of a feedforward model of the action and its outcome has been associated with attenuation of the N1 wave of auditory evoked responses elicited by self-generated sounds, such as vocalization or playing a musical instrument. Moreover, neural oscillations at beta-band frequencies have been related to predicting the sound outcome after action initiation. We hypothesized that a newly learned action-perception association would immediately modify interpretation of the sound during subsequent listening...
May 24, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28538176/tonic-lat-hdac7-signals-sustain-nur77-and-irf4-expression-to-tune-naive-cd4%C3%A2-t-cells
#4
Darienne R Myers, Tannia Lau, Evan Markegard, Hyung W Lim, Herbert Kasler, Minghua Zhu, Andrea Barczak, John P Huizar, Julie Zikherman, David J Erle, Weiguo Zhang, Eric Verdin, Jeroen P Roose
CD4(+) T cells differentiate into T helper cell subsets in feedforward manners with synergistic signals from the T cell receptor (TCR), cytokines, and lineage-specific transcription factors. Naive CD4(+) T cells avoid spontaneous engagement of feedforward mechanisms but retain a prepared state. T cells lacking the adaptor molecule LAT demonstrate impaired TCR-induced signals yet cause a spontaneous lymphoproliferative T helper 2 (TH2) cell syndrome in mice. Thus, LAT constitutes an unexplained maintenance cue...
May 23, 2017: Cell Reports
https://www.readbyqxmd.com/read/28534804/fuzzy-adaptive-decentralized-optimal-control-for-strict-feedback-nonlinear-large-scale-systems
#5
Kangkang Sun, Shuai Sui, Shaocheng Tong
This paper considers the optimal decentralized fuzzy adaptive control design problem for a class of interconnected large-scale nonlinear systems in strict feedback form and with unknown nonlinear functions. The fuzzy logic systems are introduced to learn the unknown dynamics and cost functions, respectively, and a state estimator is developed. By applying the state estimator and the backstepping recursive design algorithm, a decentralized feedforward controller is established. By using the backstepping decentralized feedforward control scheme, the considered interconnected large-scale nonlinear system in strict feedback form is changed into an equivalent affine large-scale nonlinear system...
May 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28534668/does-spatial-attention-modulate-the-earliest-component-of-the-visual-evoked-potential
#6
Hannah M Baumgartner, Christian J Graulty, Steven A Hillyard, Michael A Pitts
Whether visual spatial attention can modulate feedforward input to human primary visual cortex (V1) is debated. A prominent and long-standing hypothesis is that visual spatial attention can influence processing in V1, but only at delayed latencies suggesting a feedback-mediated mechanism and a lack of modulation during the initial afferent volley. The most promising challenge to this hypothesis comes from an event-related potential (ERP) study that showed an amplitude enhancement of the earliest visual ERP component, called the "C1", in response to spatially-attended relative to spatially-unattended stimuli (Kelly et al...
May 23, 2017: Cognitive Neuroscience
https://www.readbyqxmd.com/read/28523280/differences-in-orientation-tuning-between-pinwheel-and-domain-neurons-in-primary-visual-cortex-depend-on-contrast-and-size
#7
Yong-Jun Liu, Maziar Hashemi-Nezhad, David C Lyon
Intrinsic signal optical imaging reveals a highly modular map of orientation preference in the primary visual cortex (V1) of several species. This orientation map is characterized by domains and pinwheels where local circuitry is either more or less orientation selective, respectively. It has now been repeatedly demonstrated that neurons in pinwheels tend to be more broadly tuned to orientation, likely due to the broad range of orientation preference of the neighboring neurons forming pinwheels. However, certain stimulus conditions, such as a decrease in contrast or an increase in size, significantly sharpen tuning widths of V1 neurons...
July 2017: Neurophotonics
https://www.readbyqxmd.com/read/28521606/can-video-self-modeling-improve-affected-limb-reach-and-grasp-ability-in-stroke-patients
#8
Kylie Ann Steel, Kurt Mudie, Remi Sandoval, David Anderson, Sera Dogramaci, Mohammad Rehmanjan, Ingvars Birznieks
The authors examined whether feedforward video self-modeling (FF VSM) would improve control over the affected limb, movement self-confidence, movement self-consciousness, and well-being in 18 stroke survivors. Participants completed a cup transport task and 2 questionnaires related to psychological processes pre- and postintervention. Pretest video footage of the unaffected limb performing the task was edited to create a best-of or mirror-reversed training DVD, creating the illusion that patients were performing proficiently with the affected limb...
May 19, 2017: Journal of Motor Behavior
https://www.readbyqxmd.com/read/28498919/chemicogenetic-restoration-of-the-prefrontal-cortex-to-amygdala-pathway-ameliorates-stress-induced-deficits
#9
Jing Wei, Ping Zhong, Luye Qin, Tao Tan, Zhen Yan
Corticosteroid stress hormones exert a profound impact on cognitive and emotional processes. Understanding the neuronal circuits that are altered by chronic stress is important for counteracting the detrimental effects of stress in a brain region- and cell type-specific manner. Using the chemogenetic tool, Designer Receptors Exclusively Activated by Designer Drugs (DREADDs), which enables the remote, noninvasive and long-lasting modulation of cellular activity and signal transduction in discrete neuronal populations in vivo, we sought to identify the specific pathways that play an essential role in stress responses...
May 11, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28495545/asymptotic-tracking-and-disturbance-rejection-of-the-blood-glucose-regulation-system
#10
Brandon Ashley, Weijiu Liu
Type 1 diabetes patients need external insulin to maintain blood glucose within a narrow range from 65 to 108 mg/dl (3.6 to 6.0 mmol/l). A mathematical model for the blood glucose regulation is required for integrating a glucose monitoring system into insulin pump technology to form a closed-loop insulin delivery system on the feedback of the blood glucose, the so-called "artificial pancreas". The objective of this paper is to treat the exogenous glucose from food as a glucose disturbance and then develop a closed-loop feedback and feedforward control system for the blood glucose regulation system subject to the exogenous glucose disturbance...
May 8, 2017: Mathematical Biosciences
https://www.readbyqxmd.com/read/28492473/acquisition-and-neural-network-prediction-of-3d-deformable-object-shape-using-a-kinect-and-a-force-torque-sensor
#11
Bilal Tawbe, Ana-Maria Cretu
The realistic representation of deformations is still an active area of research, especially for deformable objects whose behavior cannot be simply described in terms of elasticity parameters. This paper proposes a data-driven neural-network-based approach for capturing implicitly and predicting the deformations of an object subject to external forces. Visual data, in the form of 3D point clouds gathered by a Kinect sensor, is collected over an object while forces are exerted by means of the probing tip of a force-torque sensor...
May 11, 2017: Sensors
https://www.readbyqxmd.com/read/28489532/video-super-resolution-via-bidirectional-recurrent-convolutional-networks
#12
Yan Huang, Wei Wang, Liang Wang
Super resolving a low-resolution video, namely video super-resolution (SR), is usually handled by either single-image SR or multi-frame SR. Single-Image SR deals with each video frame independently, and ignores intrinsic temporal dependency of video frames which actually plays a very important role in video SR. Multi-Frame SR generally extracts motion information, e.g., optical flow, to model the temporal dependency, but often shows high computational cost. Considering that recurrent neural networks (RNNs) can model long-term temporal dependency of video sequences well, we propose a fully convolutional RNN named bidirectional recurrent convolutional network for efficient multi-frame SR...
May 4, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28487637/silencing-top-down-cortical-signals-affects-spike-responses-of-neurons-in-cat-s-intermediate-visual-cortex
#13
Jin Y Huang, Chun Wang, Bogdan Dreher
We examined the effects of reversible inactivation of a higher-order, pattern/form-processing, postero-temporal visual (PTV) cortex on the background activities and spike-responses of single neurons in the ipsilateral cytoarchitectonic area 19 (putative area V3) of anesthetized domestic cats. Very occasionally (2/28), silencing recurrent "feedback" signals from PTV, resulted in significant and reversible reduction in background activity of area 19 neurons. By contrast, in large proportions of area 19 neurons, PTV inactivation resulted in: (i) significant reversible changes in the peak magnitude of their responses to visual stimuli (35...
2017: Frontiers in Neural Circuits
https://www.readbyqxmd.com/read/28485414/systematic-comparison-of-the-response-properties-of-protein-and-rna-mediated-gene-regulatory-motifs
#14
Bharat Ravi Iyengar, Beena Pillai, K V Venkatesh, Chetan J Gadgil
We present a framework enabling the dissection of the effects of motif structure (feedback or feedforward), the nature of the controller (RNA or protein), and the regulation mode (transcriptional, post-transcriptional or translational) on the response to a step change in the input. We have used a common model framework for gene expression where both motif structures have an activating input and repressing regulator, with the same set of parameters, to enable a comparison of the responses. We studied the global sensitivity of the system properties, such as steady-state gain, overshoot, peak time, and peak duration, to parameters...
May 9, 2017: Molecular BioSystems
https://www.readbyqxmd.com/read/28481891/the-decay-of-motor-adaptation-to-novel-movement-dynamics-reveals-an-asymmetry-in-the-stability-of-motion-state-dependent-learning
#15
Eghbal A Hosseini, Katrina P Nguyen, Wilsaan M Joiner
Motor adaptation paradigms provide a quantitative method to study short-term modification of motor commands. Despite the growing understanding of the role motion states (e.g., velocity) play in this form of motor learning, there is little information on the relative stability of memories based on these movement characteristics, especially in comparison to the initial adaptation. Here, we trained subjects to make reaching movements perturbed by force patterns dependent upon either limb position or velocity. Following training, subjects were exposed to a series of error-clamp trials to measure the temporal characteristics of the feedforward motor output during the decay of learning...
May 8, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28473053/applications-of-artificial-neural-networks-for-adsorption-removal-of-dyes-from-aqueous-solution-a-review
#16
REVIEW
Abdol Mohammad Ghaedi, Azam Vafaei
Artificial neural networks (ANNs) have been widely applied for the prediction of dye adsorption during the last decade. In this paper, the applications of ANN methods, namely multilayer feedforward neural networks (MLFNN), support vector machine (SVM), and adaptive neuro fuzzy inference system (ANFIS) for adsorption of dyes are reviewed. The reported researches on adsorption of dyes are classified into four major categories, such as (i) MLFNN, (ii) ANFIS, (iii) SVM and (iv) hybrid with genetic algorithm (GA) and particle swarm optimization (PSO)...
April 26, 2017: Advances in Colloid and Interface Science
https://www.readbyqxmd.com/read/28472661/chronic-loss-of-ca2-transmission-leads-to-hippocampal-hyperexcitability
#17
Roman Boehringer, Denis Polygalov, Arthur J Y Huang, Steven J Middleton, Vincent Robert, Marie E Wintzer, Rebecca A Piskorowski, Vivien Chevaleyre, Thomas J McHugh
Hippocampal CA2 pyramidal cells project into both the neighboring CA1 and CA3 subfields, leaving them well positioned to influence network physiology and information processing for memory and space. While recent work has suggested unique roles for CA2, including encoding position during immobility and generating ripple oscillations, an interventional examination of the integrative functions of these connections has yet to be reported. Here we demonstrate that CA2 recruits feedforward inhibition in CA3 and that chronic genetically engineered shutdown of CA2-pyramidal-cell synaptic transmission consequently results in increased excitability of the recurrent CA3 network...
May 3, 2017: Neuron
https://www.readbyqxmd.com/read/28471714/circuits-and-mechanisms-for-surround-modulation-in-visual-cortex
#18
Alessandra Angelucci, Maryam Bijanzadeh, Lauri Nurminen, Frederick Federer, Sam Merlin, Paul C Bressloff
Surround modulation (SM) is a fundamental property of sensory neurons in many species and sensory modalities. SM is the ability of stimuli in the surround of a neuron's receptive field (RF) to modulate (typically suppress) the neuron's response to stimuli simultaneously presented inside the RF, a property thought to underlie optimal coding of sensory information and important perceptual functions. Understanding the circuit and mechanisms for SM can reveal fundamental principles of computations in sensory cortices, from mouse to human...
May 3, 2017: Annual Review of Neuroscience
https://www.readbyqxmd.com/read/28466892/the-multi-output-incoherent-feedforward-loop-constituted-by-the-transcriptional-regulators-lasr-and-rsal-confers-robustness-to-a-subset-of-quorum-sensing-genes-in-pseudomonas-aeruginosa
#19
Roslen Bondí, Francesca Longo, Marco Messina, Francesca D'Angelo, Paolo Visca, Livia Leoni, Giordano Rampioni
Quorum sensing (QS) is an intercellular communication system which controls virulence-related phenotypes in the human pathogen Pseudomonas aeruginosa. LasR is the QS receptor protein which responds to the signal molecule N-(3-oxododecanoyl)homoserine lactone (3OC12-HSL) and promotes signal production by increasing the transcription of the 3OC12-HSL synthase gene, lasI. LasR also activates the expression of other genes, including rsaL, coding for the RsaL protein which acts as a transcriptional repressor of lasI...
May 3, 2017: Molecular BioSystems
https://www.readbyqxmd.com/read/28464015/forecasting-influenza-in-hong-kong-with-google-search-queries-and-statistical-model-fusion
#20
Qinneng Xu, Yulia R Gel, L Leticia Ramirez Ramirez, Kusha Nezafati, Qingpeng Zhang, Kwok-Leung Tsui
BACKGROUND: The objective of this study is to investigate predictive utility of online social media and web search queries, particularly, Google search data, to forecast new cases of influenza-like-illness (ILI) in general outpatient clinics (GOPC) in Hong Kong. To mitigate the impact of sensitivity to self-excitement (i.e., fickle media interest) and other artifacts of online social media data, in our approach we fuse multiple offline and online data sources. METHODS: Four individual models: generalized linear model (GLM), least absolute shrinkage and selection operator (LASSO), autoregressive integrated moving average (ARIMA), and deep learning (DL) with Feedforward Neural Networks (FNN) are employed to forecast ILI-GOPC both one week and two weeks in advance...
2017: PloS One
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