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https://www.readbyqxmd.com/read/28821138/biocompatible-chitin-carbon-nanotubes-composite-hydrogels-as-neuronal-growth-substrates
#1
Shuangquan Wu, Bo Duan, Ang Lu, Yanfeng Wang, Qifa Ye, Lina Zhang
In the past decades, extensive studies have demonstrated that carbon nanotubes (CNTs) could promote cell adhesion, proliferation and differentiation of neuronal cells. However, the potential cytotoxicity in biological systems severely restricted the utilization of CNTs as substrates for neural growth. In this study, biocompatible chitin/carbon nanotubes (Ch/CNT) composite hydrogels were developed via blending modified CNTs with chitin solution in 11wt% NaOH/4wt% urea aqueous system, and subsequently regenerating in ethanol...
October 15, 2017: Carbohydrate Polymers
https://www.readbyqxmd.com/read/28820891/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
#2
Wei Zhu, Jing Lou, Longtao Chen, Qingyuan Xia, Mingwu Ren
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier...
2017: PloS One
https://www.readbyqxmd.com/read/28820744/simulation-of-morphologically-structured-photo-thermal-neural-stimulation
#3
Y Weissler, N Farah, S Shoham
OBJECTIVE: Rational design of next-generation techniques for photo-thermal excitation requires the development of tools capable of modeling the effects of spatially- and temporally-dependent temperature distribution on cellular neuronal structures. APPROACH: We present a new computer simulation tool for predicting the effects of arbitrary spatiotemporally-structured photo-thermal stimulation on 3D, morphologically realistic neurons. The new simulation tool is based on interfacing two generic platforms, NEURON and MATLAB and is therefore suited for capturing different kinds of stimuli and neural models...
August 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28820678/a-new-hybrid-model-using-an-autoregressive-integrated-moving-average-and-a-generalized-regression-neural-network-for-the-incidence-of-tuberculosis-in-heng-county-china
#4
Wudi Wei, Junjun Jiang, Lian Gao, Bingyu Liang, Jiegang Huang, Ning Zang, Chuanyi Ning, Yanyan Liao, Jingzhen Lai, Jun Yu, Fengxiang Qin, Hui Chen, Jinming Su, Li Ye, Hao Liang
It is a daunting task to eradicate tuberculosis completely in Heng County due to a large transient population, human immunodeficiency virus/tuberculosis coinfection, and latent infection. Thus, a high-precision forecasting model can be used for the prevention and control of tuberculosis. In this study, four models including a basic autoregressive integrated moving average (ARIMA) model, a traditional ARIMA-generalized regression neural network (GRNN) model, a basic GRNN model, and a new ARIMA-GRNN hybrid model were used to fit and predict the incidence of tuberculosis...
July 31, 2017: American Journal of Tropical Medicine and Hygiene
https://www.readbyqxmd.com/read/28820675/on-the-role-of-situational-stressors-in-the-disruption-of-global-neural-network-stability-during-problem-solving
#5
Mengting Liu, Chad E Forbes, Rachel C Amey
When individuals are placed in stressful situations, they are likely to exhibit deficits in cognitive capacity over and above situational demands. Despite this, individuals may still persevere and ultimately succeed in these situations. Little is known, however, about neural network properties that instantiate success or failure in both neutral and stressful situations, particularly with respect to regions integral for problem-solving processes that are necessary for optimal performance on more complex tasks...
August 18, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28820141/silicon-synaptic-transistor-for-hardware-based-spiking-neural-network-and-neuromorphic-system
#6
Hyungjin Kim, Sungmin Hwang, Jungjin Park, Byung-Gook Park
Brain-inspired neuromorphic systems have attracted much attention as new computing paradigms for power-efficient computation. Here, we report a silicon synaptic transistor with two electrically independent gates to realize a hardware-based neural network system without any switching components. The spike-timing dependent plasticity (STDP) characteristics of the synaptic devices are measured and analyzed. With the help of the device model based on the measured data, the pattern recognition capability of the hardware-based spiking neural network (SNN) systems is demonstrated using the modified national institute of standards and technology (MNIST) handwritten dataset...
August 18, 2017: Nanotechnology
https://www.readbyqxmd.com/read/28819162/inter-brain-network-underlying-turn-based-cooperation-and-competition-a-hyperscanning-study-using-near-infrared-spectroscopy
#7
Tao Liu, Godai Saito, Chenhui Lin, Hirofumi Saito
The present study examined neural substrates underlying turn-based cooperation and competition in a real two-person situation. We simultaneously measured pairs of participants' activations in their bilateral frontal, temporal, and parietal regions using a 96-channel near-infrared spectroscopy (NIRS) system, when participants played a turn-taking disk-game on a computer. NIRS data demonstrated significant inter-brain neural synchronization (INS) across participant pairs' right posterior superior temporal sulcus (pSTS) in both the cooperation and competition conditions, and the competition condition also involved significant INS in the right inferior parietal lobule (IPL)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819132/treatment-associated-changes-of-functional-connectivity-of-midbrain-brainstem-nuclei-in-major-depressive-disorder
#8
Gerd Wagner, Feliberto de la Cruz, Stefanie Köhler, Karl-Jürgen Bär
Previous functional magnetic resonance imaging (fMRI) studies demonstrated an abnormally coordinated network functioning in Major Depression Disorder (MDD) during rest. The main monoamine-producing nuclei within midbrain/brainstem are functionally integrated within these specific networks. Therefore, we aimed to investigate the resting-state functional connectivity (RSFC) of these nuclei in 45 MDD patients and differences between patients receiving two different classes of antidepressant drugs. Patients showed reduced RSFC from the ventral tegmental area (VTA) to dorsal anterior cingulate cortex (dACC) and stronger RSFC to the left amygdala and dorsolateral prefrontal cortex (DLPFC)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819117/neuronal-encoding-of-self-and-others-head-rotation-in-the-macaque-dorsal-prefrontal-cortex
#9
M Lanzilotto, M Gerbella, V Perciavalle, C Lucchetti
Following gaze is a crucial skill, in primates, for understanding where and at what others are looking, and often requires head rotation. The neural basis underlying head rotation are deemed to overlap with the parieto-frontal attention/gaze-shift network. Here, we show that a set of neurons in monkey's Brodmann area 9/46dr (BA 9/46dr), which is involved in orienting processes and joint attention, becomes active during self head rotation and that the activity of these neurons cannot be accounted for by saccade-related activity (head-rotation neurons)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28818696/cortical-networks-for-reference-frame-processing-are-shared-by-language-and-spatial-navigation-systems
#10
Nikola Vukovic, Yury Shtyrov
To help us live in the three-dimensional world, our brain integrates incoming spatial information into reference frames, which are based either on our own body (egocentric) or independent from it (allocentric). Such frames, however, may be crucial not only when interacting with the visual world, but also in language comprehension, since even the simplest utterance can be understood from different perspectives. While significant progress has been made in elucidating how linguistic factors, such as pronouns, influence reference frame adoption, the neural underpinnings of this ability are largely unknown...
August 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28818270/the-glass-ceiling-a-biological-phenomenon
#11
Tom W J Schulpen
Many brilliant and ambitious young women lose their drive for top careers after childbirth. New maternal impulses are at odds with their original ambitions and for many mothers stress and frustration will be the result as they have to combine child care with workweeks of 60-80h to reach or remain at the top. Pregnancy hormones modify the female's brain as has been demonstrated already for decades in animals. This brain plasticity due to adult neurogenesis in the so called maternal circuitry of the limbic system is long-lasting and perhaps lifelong...
September 2017: Medical Hypotheses
https://www.readbyqxmd.com/read/28818093/case-report-value-of-gene-expression-profiling-in-the-diagnosis-of-atypical-neuroblastoma
#12
Anne C Harttrampf, Qingrong Chen, Eva Jüttner, Julia Geiger, Gordon Vansant, Javed Khan, Udo Kontny
BACKGROUND: Nephroblastoma and neuroblastoma belong to the most common abdominal malignancies in childhood. Similarities in the initial presentation may provide difficulties in distinguishing between these two entities, especially if unusual variations to prevalent patterns of disease manifestation occur. Because of the risk of tumor rupture, European protocols do not require biopsy for diagnosis, which leads to misdiagnosis in some cases. CASE PRESENTATION: We report on a 4½-year-old girl with a renal tumor displaying radiological and laboratory characteristics supporting the diagnosis of nephroblastoma...
August 17, 2017: BMC Research Notes
https://www.readbyqxmd.com/read/28817956/the-role-of-intrinsic-brain-functional-connectivity-in-vulnerability-and-resilience-to-bipolar-disorder
#13
Gaelle E Doucet, Danielle S Bassett, Nailin Yao, David C Glahn, Sophia Frangou
OBJECTIVE: Bipolar disorder is a heritable disorder characterized by mood dysregulation associated with brain functional dysconnectivity. Previous research has focused on the detection of risk- and disease-associated dysconnectivity in individuals with bipolar disorder and their first-degree relatives. The present study seeks to identify adaptive brain connectivity features associated with resilience, defined here as avoidance of illness or delayed illness onset in unaffected siblings of patients with bipolar disorder...
August 18, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/28817580/criticality-predicts-maximum-irregularity-in-recurrent-networks-of-excitatory-nodes
#14
Yahya Karimipanah, Zhengyu Ma, Ralf Wessel
A rigorous understanding of brain dynamics and function requires a conceptual bridge between multiple levels of organization, including neural spiking and network-level population activity. Mounting evidence suggests that neural networks of cerebral cortex operate at a critical regime, which is defined as a transition point between two phases of short lasting and chaotic activity. However, despite the fact that criticality brings about certain functional advantages for information processing, its supporting evidence is still far from conclusive, as it has been mostly based on power law scaling of size and durations of cascades of activity...
2017: PloS One
https://www.readbyqxmd.com/read/28817568/an-optimal-strategy-for-epilepsy-surgery-disruption-of-the-rich-club
#15
Marinho A Lopes, Mark P Richardson, Eugenio Abela, Christian Rummel, Kaspar Schindler, Marc Goodfellow, John R Terry
Surgery is a therapeutic option for people with epilepsy whose seizures are not controlled by anti-epilepsy drugs. In pre-surgical planning, an array of data modalities, often including intra-cranial EEG, is used in an attempt to map regions of the brain thought to be crucial for the generation of seizures. These regions are then resected with the hope that the individual is rendered seizure free as a consequence. However, post-operative seizure freedom is currently sub-optimal, suggesting that the pre-surgical assessment may be improved by taking advantage of a mechanistic understanding of seizure generation in large brain networks...
August 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28816681/augmented-lagrange-programming-neural-network-for-localization-using-time-difference-of-arrival-measurements
#16
Zifa Han, Chi Sing Leung, Hing Cheung So, Anthony George Constantinides
A commonly used measurement model for locating a mobile source is time-difference-of-arrival (TDOA). As each TDOA measurement defines a hyperbola, it is not straightforward to compute the mobile source position due to the nonlinear relationship in the measurements. This brief exploits the Lagrange programming neural network (LPNN), which provides a general framework to solve nonlinear constrained optimization problems, for the TDOA-based localization. The local stability of the proposed LPNN solution is also analyzed...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816679/adaptive-unknown-input-estimation-by-sliding-modes-and-differential-neural-network-observer
#17
Ivan Salgado, Isaac Chairez
In this paper, a differential neural network (DNN) implemented as a robust observer estimates the dynamics of perturbed uncertain nonlinear systems affected by exogenous unknown inputs. In the first stage, the identification error converges into a neighborhood around the origin. Then, the second-order sliding mode supertwisting algorithm implemented as a robust exact differentiator reconstructed the unknown inputs. The approach proposed in this paper can be applied in the case of full access to the state vector (identification problem) and in the case of partial access to the state vector (estimation problem)...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816677/prototype-incorporated-emotional-neural-network
#18
Oyebade K Oyedotun, Adnan Khashman
Artificial neural networks (ANNs) aim to simulate the biological neural activities. Interestingly, many ''engineering'' prospects in ANN have relied on motivations from cognition and psychology studies. So far, two important learning theories that have been subject of active research are the prototype and adaptive learning theories. The learning rules employed for ANNs can be related to adaptive learning theory, where several examples of the different classes in a task are supplied to the network for adjusting internal parameters...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816670/colorization-using-neural-network-ensemble
#19
Zezhou Cheng, Qingxiong Yang, Bin Sheng
This paper investigates into the colorization problem which converts a grayscale image to a colorful version. This is a difficult problem and normally requires manual adjustment to achieve artifact-free quality. For instance, it normally requires human-labelled color scribbles on the grayscale target image or a careful selection of colorful reference images. The recent learning-based colorization techniques automatically colorize a grayscale image using a single neural network. Since different scenes usually have distinct color styles, it is difficult to accurately capture the color characteristics using a single neural network...
August 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816665/body-structure-aware-deep-crowd-counting
#20
Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, Junwei Han
Crowd counting is a challenging task, mainly due to the severe occlusions among dense crowds. This work aims to take a broader view to address crowd counting from the perspective of semantic modelling. In essence, crowd counting is a task of pedestrian semantic analysis involving three key factors: pedestrians, heads, and their context structure. The information of different body parts is an important cue to help us judge whether there exists a person at a certain position. Existing methods usually perform crowd counting from the perspective of directly modelling the visual properties of either the whole body or the heads only, without explicitly capturing the composite body-part semantic structure information that is crucial for crowd counting...
August 14, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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