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Mojtaba Nayyeri, Hadi Sadoghi Yazdi, Alaleh Maskooki, Modjtaba Rouhani
Several objective functions have been proposed in the literature to adjust the input parameters of a node in constructive networks. Furthermore, many researchers have focused on the universal approximation capability of the network based on the existing objective functions. In this brief, we use a correntropy measure based on the sigmoid kernel in the objective function to adjust the input parameters of a newly added node in a cascade network. The proposed network is shown to be capable of approximating any continuous nonlinear mapping with probability one in a compact input sample space...
October 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
Daniel R Bronson, Thomas Preuss
Predator pressure and olfactory cues (alarm substance) have been shown to modulate Mauthner cell (M-cell) initiated startle escape responses (C-starts) in teleost fish. The regulation of such adaptive responses to potential threats is thought to involve the release of steroid hormones such as cortisol. However, the mechanism by which cortisol may regulate M-cell excitability is not known. Here, we used intrasomatic, in vivo recordings to elucidate the acute effects of cortisol on M-cell membrane properties and sound evoked post-synaptic potentials (PSPs)...
2017: Frontiers in Neural Circuits
Angela K Nietz, Jada H Vaden, Luke T Coddington, Linda Overstreet-Wadiche, Jacques I Wadiche
Golgi cells are the principal inhibitory neurons at the input stage of the cerebellum, providing feedforward and feedback inhibition through mossy fiber and parallel fiber synapses. In vivo studies have shown that Golgi cell activity is regulated by climbing fiber stimulation, yet there is little functional or anatomical evidence for synapses between climbing fibers and Golgi cells. Here, we show that glutamate released from climbing fibers activates ionotropic and metabotropic receptors on Golgi cells through spillover-mediated transmission...
October 13, 2017: ELife
F Resquín, J Gonzalez-Vargas, J Ibáñez, F Brunetti, I Dimbwadyo, L Carrasco, S Alves, C Gonzalez-Alted, A Gomez-Blanco, J L Pons
BACKGROUND: Brain injury survivors often present upper-limb motor impairment affecting the execution of functional activities such as reaching. A currently active research line seeking to maximize upper-limb motor recovery after a brain injury, deals with the combined use of functional electrical stimulation (FES) and mechanical supporting devices, in what has been previously termed hybrid robotic systems. This study evaluates from the technical and clinical perspectives the usability of an integrated hybrid robotic system for the rehabilitation of upper-limb reaching movements after a brain lesion affecting the motor function...
October 12, 2017: Journal of Neuroengineering and Rehabilitation
J Väänänen, S Memet, T Günther, M Lilja, M Cimbritz, J la Cour Jansen
For chemically enhanced primary treatment (CEPT) with microsieving, a feedback proportional integral controller combined with a feedforward compensator was used in large pilot scale to control effluent water turbidity to desired set points. The effluent water turbidity from the microsieve was maintained at various set points in the range 12-80 NTU basically independent for a number of studied variations in influent flow rate and influent wastewater compositions. Effluent turbidity was highly correlated with effluent chemical oxygen demand (COD)...
October 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
Grace W Lindsay, Mattia Rigotti, Melissa R Warden, Earl K Miller, Stefano Fusi
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by prefrontal cortex (PFC). Neural activity in PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear 'mixed' selectivity is an important neurophysiological trait for enabling complex and context-dependent behaviors. Here we investigate (1) the extent to which PFC exhibits computationally-relevant properties such as mixed selectivity and (2) how such properties could arise via circuit mechanisms...
October 6, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
Kristen M Stearns-Reider, Christopher M Powers
The purpose of this study was to determine whether women demonstrate decreased rate of torque development (RTD) of the hip and knee extensors and altered onset timing of the vastus lateralis and gluteus maximus during a drop-jump task when compared with men. On average, women demonstrated significantly lower normalized RTD of the hip extensors (women: 11.6 ± 1.3 MVT.s(-1), men: 13.1 ± 0.9 MVT.s(-1); p ≤ .01); however, there was no significant difference in knee extensor RTD. Women also demonstrated significantly earlier activation of their vastus lateralis (women: 206...
October 6, 2017: Journal of Motor Behavior
Jiaojian Wang, Qiang Wei, Tongjian Bai, Xiaoqin Zhou, Hui Sun, Benjamin Becker, Yanghua Tian, Kai Wang, Keith Kendrick
Electroconvulsive therapy (ECT) has been widely used to treat the major depressive disorder (MDD), especially for treatment resistant depression. However, the neuroanatomical basis of ECT remains an open problem. In our study, we combined the voxel-based morphology (VBM), resting-state functional connectivity (RSFC), and granger causality analysis (GCA) to identify the longitudinal changes of structure and function in 23 MDD patients before and after ECT. In addition, multivariate pattern analysis using linear support vector machine (SVM) was applied to classify 23 depressed patients from 25 gender, age, and education matched healthy controls...
August 28, 2017: Social Cognitive and Affective Neuroscience
Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao
Dropout has been proven to be an effective algorithm for training robust deep networks because of its ability to prevent overfitting by avoiding the co-adaptation of feature detectors. Current explanations of dropout include bagging, naive Bayes, regularization, and sex in evolution. According to the activation patterns of neurons in the human brain, when faced with different situations, the firing rates of neurons are random and continuous, not binary as current dropout does. Inspired by this phenomenon, we extend the traditional binary dropout to continuous dropout...
October 3, 2017: IEEE Transactions on Neural Networks and Learning Systems
Yunlei Liang, Zhijiang Du, Weidong Wang, Lining Sun
The tendon driven mechanism using a cable and pulley to transmit power is adopted by many surgical robots. However, backlash hysteresis objectively exists in cable-pulley mechanisms, and this nonlinear problem is a great challenge in precise position control during the surgical procedure. Previous studies mainly focused on the transmission characteristics of the cable-driven system and constructed transmission models under particular assumptions to solve nonlinear problems. However, these approaches are limited because the modeling process is complex and the transmission models lack general applicability...
September 30, 2017: Sensors
Jun Yu, Yijin Yan, King-Lun Li, Yao Wang, Yanhua H Huang, Nathaniel N Urban, Eric J Nestler, Oliver M Schlüter, Yan Dong
The basolateral amygdala (BLA) sends excitatory projections to the nucleus accumbens (NAc) and regulates motivated behaviors partially by activating NAc medium spiny neurons (MSNs). Here, we characterized a feedforward inhibition circuit, through which BLA-evoked activation of NAc shell (NAcSh) MSNs was fine-tuned by GABAergic monosynaptic innervation from adjacent fast-spiking interneurons (FSIs). Specifically, BLA-to-NAcSh projections predominantly innervated NAcSh FSIs compared with MSNs and triggered action potentials in FSIs preceding BLA-mediated activation of MSNs...
September 25, 2017: Proceedings of the National Academy of Sciences of the United States of America
Jian Wang, Chen Xu, Xifeng Yang, Jacek M Zurada
In this paper, we propose four new variants of the backpropagation algorithm to improve the generalization ability for feedforward neural networks. The basic idea of these methods stems from the Group Lasso concept which deals with the variable selection problem at the group level. There are two main drawbacks when the Group Lasso penalty has been directly employed during network training. They are numerical oscillations and theoretical challenges in computing the gradients at the origin. To overcome these obstacles, smoothing functions have then been introduced by approximating the Group Lasso penalty...
September 26, 2017: IEEE Transactions on Neural Networks and Learning Systems
Anna Chabuda, Piotr Durka, Jaroslaw Zygierewicz
We present an efficient implementation of braincomputer interface (BCI) based on high-frequency steady state visually evoked potentials (SSVEP). Individual shape of the SSVEP response is extracted by means of a feedforward comb filter, which adds delayed versions of the signal to itself. Rendering of the stimuli is controlled by specialized hardware (BCI Appliance). Out of 15 participants of the study, 9 were able to produce stable response in at least 8 out of 10 frequencies from the 30-39 Hz range. They achieved on average 96±4% accuracy and 47±5 bit/min information transfer rate (ITR) for an optimized simple 7-letter speller, while generic full-alphabet speller allowed in this group for 89±9% accuracy and 36±9 bit/min ITR...
September 28, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Helene Schmidt, Anjali Gour, Jakob Straehle, Kevin M Boergens, Michael Brecht, Moritz Helmstaedter
Research on neuronal connectivity in the cerebral cortex has focused on the existence and strength of synapses between neurons, and their location on the cell bodies and dendrites of postsynaptic neurons. The synaptic architecture of individual presynaptic axonal trees, however, remains largely unknown. Here we used dense reconstructions from three-dimensional electron microscopy in rats to study the synaptic organization of local presynaptic axons in layer 2 of the medial entorhinal cortex, the site of grid-like spatial representations...
September 28, 2017: Nature
Sumit Bam Shrestha, Qing Song
Supervised learning algorithms in a spiking neural network either learn a spike-train pattern for a single neuron receiving input spike-train from multiple input synapses or learn to output the first spike time in a feedforward network setting. In this paper, we build upon spike-event based weight update strategy to learn continuous spike-train in a spiking neural network with a hidden layer using a dead zone on-off based adaptive learning rate rule which ensures convergence of the learning process in the sense of weight convergence and robustness of the learning process to external disturbances...
September 12, 2017: Neural Networks: the Official Journal of the International Neural Network Society
Caspar M Schwiedrzik, Winrich A Freiwald
Theories like predictive coding propose that lower-order brain areas compare their inputs to predictions derived from higher-order representations and signal their deviation as a prediction error. Here, we investigate whether the macaque face-processing system, a three-level hierarchy in the ventral stream, employs such a coding strategy. We show that after statistical learning of specific face sequences, the lower-level face area ML computes the deviation of actual from predicted stimuli. But these signals do not reflect the tuning characteristic of ML...
September 27, 2017: Neuron
Courtney J Spoerer, Patrick McClure, Nikolaus Kriegeskorte
Feedforward neural networks provide the dominant model of how the brain performs visual object recognition. However, these networks lack the lateral and feedback connections, and the resulting recurrent neuronal dynamics, of the ventral visual pathway in the human and non-human primate brain. Here we investigate recurrent convolutional neural networks with bottom-up (B), lateral (L), and top-down (T) connections. Combining these types of connections yields four architectures (B, BT, BL, and BLT), which we systematically test and compare...
2017: Frontiers in Psychology
Yulia Revina, Lucy S Petro, Lars Muckli
Visual processing in cortex relies on feedback projections contextualising feedforward information flow. Primary visual cortex (V1) has small receptive fields and processes feedforward information at a fine-grained spatial scale, whereas higher visual areas have larger, spatially invariant receptive fields. Therefore, feedback could provide coarse information about the global scene structure or alternatively recover fine-grained structure by targeting small receptive fields in V1. We tested if feedback signals generalise across different spatial frequencies of feedforward inputs, or if they are tuned to the spatial scale of the visual scene...
September 22, 2017: NeuroImage
Xiaofeng Wu, Li-Shu Zhang, Jason Toombs, Yi-Chun Kuo, John Tyler Piazza, Rubina Tuladhar, Quinn Barrett, Chih-Wei Fan, Xuewu Zhang, Loren D Walensky, Marcel Kool, Steven Y Cheng, Rolf Brekken, Joseph T Opferman, Douglas R Green, Tudor Moldoveanu, Lawrence Lum
Direct interactions between pro- and anti-apoptotic BCL-2 family members form the basis of cell death decision-making at the outer mitochondrial membrane (OMM). Here we report that three anti-apoptotic BCL-2 proteins (MCL-1, BCL-2 and BCL-XL) found untethered from the OMM function as transcriptional regulators of a prosurvival and growth program. Anti-apoptotic BCL-2 proteins engage a BCL-2 homology (BH) domain sequence found in SUFU (suppressor of fused), a tumour suppressor and antagonist of the GLI DNA-binding proteins...
October 2017: Nature Cell Biology
Laura Avanzino, Andrea Ravaschio, Giovanna Lagravinese, Gaia Bonassi, Giovanni Abbruzzese, Elisa Pelosin
OBJECTIVE: It is under debate whether the cerebellum plays a role in dystonia pathophysiology and in the expression of clinical phenotypes. We investigated a typical cerebellar function (anticipatory movement control) in patients with cervical dystonia (CD) with and without tremor. METHODS: Twenty patients with CD, with and without tremor, and 17 healthy controls were required to catch balls of different load: 15 trials with a light ball, 25 trials with a heavy ball (adaptation) and 15 trials with a light ball (post-adaptation)...
September 9, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
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