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https://www.readbyqxmd.com/read/28222502/subclinical-doses-of-atp-sensitive-potassium-channel-modulators-prevent-alterations-in-memory-and-synaptic-alterations-in-memory-and-synaptic-%C3%AE
#1
Karla Salgado-Puga, Javier Rodríguez-Colorado, Roberto A Prado-Alcalá, Fernando Peña-Ortega
In addition to coupling cell metabolism and excitability, ATP-sensitive potassium channels (KATP) are involved in neural function and plasticity. Moreover, alterations in KATP activity and expression have been observed in Alzheimer's disease (AD) and during amyloid-β (Aβ)-induced pathology. Thus, we tested whether KATP modulators can influence Aβ-induced deleterious effects on memory, hippocampal network function, and plasticity. We found that treating animals with subclinical doses (those that did not change glycemia) of a KATP blocker (Tolbutamide) or a KATP opener (Diazoxide) differentially restrained Aβ-induced memory deficit, hippocampal network activity inhibition, and long-term synaptic plasticity unbalance (i...
February 10, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28222194/forecasting-outpatient-visits-using-empirical-mode-decomposition-coupled-with-back-propagation-artificial-neural-networks-optimized-by-particle-swarm-optimization
#2
Daizheng Huang, Zhihui Wu
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy makers manage hospitals effectively, reasonably organize schedules for human resources and finances, and appropriately distribute hospital material resources. In this study, a hybrid method based on empirical mode decomposition and back-propagation artificial neural networks optimized by particle swarm optimization is developed to forecast outpatient visits on the basis of monthly numbers. The data outpatient visits are retrieved from January 2005 to December 2013 and first obtained as the original time series...
2017: PloS One
https://www.readbyqxmd.com/read/28222011/automatic-sleep-stage-classification-of-single-channel-eeg-by-using-complex-valued-convolutional-neural-network
#3
Junming Zhang, Yan Wu
Many systems are developed for automatic sleep stage classification. However, nearly all models are based on handcrafted features. Because of the large feature space, there are so many features that feature selection should be used. Meanwhile, designing handcrafted features is a difficult and time-consuming task because the feature designing needs domain knowledge of experienced experts. Results vary when different sets of features are chosen to identify sleep stages. Additionally, many features that we may be unaware of exist...
February 21, 2017: Biomedizinische Technik. Biomedical Engineering
https://www.readbyqxmd.com/read/28222008/stability-analysis-of-discrete-time-neural-networks-with-time-varying-delay-via-an-extended-reciprocally-convex-matrix-inequality
#4
Chuan-Ke Zhang, Yong He, Lin Jiang, Qing-Guo Wang, Min Wu
This paper is concerned with the stability analysis of discrete-time neural networks with a time-varying delay. Assessment of the effect of time delays on system stability requires suitable delay-dependent stability criteria. This paper aims to develop new stability criteria for reduction of conservatism without much increase of computational burden. An extended reciprocally convex matrix inequality is developed to replace the popular reciprocally convex combination lemma (RCCL). It has potential to reduce the conservatism of the RCCL-based criteria without introducing any extra decision variable due to its advantage of reduced estimation gap using the same decision variables...
February 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28222003/state-estimation-for-static-neural-networks-with-time-varying-delays-based-on-an-improved-reciprocally-convex-inequality
#5
Xian-Ming Zhang, Qing-Long Han
This brief is concerned with the problem of neural state estimation for static neural networks with time-varying delays. Notice that a Luenberger estimator can produce an estimation error irrespective of the neuron state trajectory. This brief provides a method for designing such an estimator for static neural networks with time-varying delays. First, in-depth analysis on a well-used reciprocally convex approach is made, leading to an improved reciprocally convex inequality. Second, the improved reciprocally convex inequality and some integral inequalities are employed to provide a tight upper bound on the time-derivative of some Lyapunov-Krasovskii functional...
February 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28221995/deep-cascade-cascading-3d-deep-neural-networks-for-fast-anomaly-detection-and-localization-in-crowded-scenes
#6
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, Reinhard Klette
This paper proposes a fast and reliable method for anomaly detection and localization in video data showing crowded scenes. Time-efficient anomaly localization is an ongoing challenge and subject of this paper. We propose a cubicpatch- based method, characterised by a cascade of classifiers, which makes use of an advanced feature-learning approach. Our cascade of classifiers has two main stages. First, a light but deep 3D auto-encoder is used for early identification of "many" normal cubic patches. This deep network operates on small cubic patches as being the first stage, before carefully resizing remaining candidates of interest, and evaluating those at the second stage using a more complex and deeper 3D convolutional neural network (CNN)...
February 17, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28221992/exploiting-feature-and-class-relationships-in-video-categorization-with-regularized-deep-neural-networks
#7
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as the existence of a particular human action or a complex event. Although extensive efforts have been devoted in recent years, most existing works combined multiple video features using simple fusion strategies and neglected the utilization of inter-class semantic relationships. This paper proposes a novel unified framework that jointly exploits the feature relationships and the class relationships for improved categorization performance...
February 16, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28221884/neural-network-model-for-thermal-inactivation-of-salmonella-typhimurium-to-elimination-in-ground-chicken-acquisition-of-data-by-whole-sample-enrichment-miniature-most-probable-number-method
#8
T P Oscar
Predictive models are valuable tools for assessing food safety. Existing thermal inactivation models for Salmonella and ground chicken do not provide predictions above 71°C, which is below the recommended final cooked temperature of 73.9°C for chicken. They also do not predict when all Salmonella are eliminated without extrapolating beyond the data used to develop them. Thus, a study was undertaken to develop a model for thermal inactivation of Salmonella to elimination in ground chicken at temperatures above those of existing models...
January 2017: Journal of Food Protection
https://www.readbyqxmd.com/read/28221756/pattern-recognition-using-carbon-nanotube-synaptic-transistors-with-an-adjustable-weight-update-protocol
#9
Sungho Kim, Bongsik Choi, Meehyun Lim, Jinsu Yoon, Juhee Lee, Hee-Dong Kim, Sung-Jin Choi
Recent electronic applications require an efficient computing system that can perform data processing with limited energy consumption. Inspired by the massive parallelism of the human brain, a neuromorphic system (hardware neural network) may provide an efficient computing unit to perform such tasks as classification and recognition. However, the implementation of synaptic devices (i.e., the essential building blocks for emulating the functions of biological synapses) remains challenging due to their uncontrollable weight update protocol and corresponding uncertain effects on the operation of the system, which can lead to a bottleneck in the continuous design and optimization...
February 21, 2017: ACS Nano
https://www.readbyqxmd.com/read/28221369/chemistry-based-molecular-signature-underlying-the-atypia-of-clozapine
#10
T Cardozo, E Shmelkov, K Felsovalyi, J Swetnam, T Butler, D Malaspina, S V Shmelkov
The central nervous system is functionally organized as a dynamic network of interacting neural circuits that underlies observable behaviors. At higher resolution, these behaviors, or phenotypes, are defined by the activity of a specific set of biomolecules within those circuits. Identification of molecules that govern psychiatric phenotypes is a major challenge. The only organic molecular entities objectively associated with psychiatric phenotypes in humans are drugs that induce psychiatric phenotypes and drugs used for treatment of specific psychiatric conditions...
February 21, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28221057/-understanding-the-neural-basis-of-cognitive-bias-modification-as-a-clinical-treatment-for-depression-correction-to-eguchi-et-al-2016
#11
(no author information available yet)
: Reports an error in "Understanding the neural basis of cognitive bias modification as a clinical treatment for depression" by Akihiro Eguchi, Daniel Walters, Nele Peerenboom, Hannah Dury, Elaine Fox and Simon Stringer (Journal of Consulting and Clinical Psychology, Advanced Online Publication, Dec 19, 2016, np). In the article, there was an error in the Discussion section's first paragraph for Implications and Future Work. The in-text reference citation for Penton-Voak et al. (2013) was incorrectly listed as "Blumenfeld, Preminger, Sagi, and Tsodyks (2006)"...
March 2017: Journal of Consulting and Clinical Psychology
https://www.readbyqxmd.com/read/28220928/malt-combined-motor-and-language-therapy-tool-for-brain-injury-patients-using-kinect
#12
Maitreyee Wairagkar, Rachel McCrindle, Holly Robson, Lotte Meteyard, Malcom Sperrin, Andy Smith, Moyra Pugh
BACKGROUND: The functional connectivity and structural proximity of elements of the language and motor systems result in frequent co-morbidity post brain injury. Although rehabilitation services are becoming increasingly multidisciplinary and "integrated", treatment for language and motor functions often occurs in isolation. Thus, behavioural therapies which promote neural reorganisation do not reflect the high intersystem connectivity of the neurologically intact brain. As such, there is a pressing need for rehabilitation tools which better reflect and target the impaired cognitive networks...
February 21, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28220517/brain-electrical-activity-signatures-during-performance-of-the-multisource-interference-task
#13
Alberto J González-Villar, Maria T Carrillo-de-la-Peña
The Multisource Interference Task (MSIT) was developed to test cognitive control in normal and pathological conditions and has become a reliable tool for exploring the integrity of cingulo-frontal-parietal cognitive/attentional networks in fMRI studies. Analysis of EEG recordings made during performance of the MSIT may provide additional information about the temporal dynamics of cognitive control. However, this has not yet been investigated in depth. In this study, we analyzed the ERPs and carried out time-frequency decomposition of EEG recorded during control and interference conditions of the MSIT...
February 21, 2017: Psychophysiology
https://www.readbyqxmd.com/read/28220070/neural-correlates-of-mirror-visual-feedback-induced-performance-improvements-a-resting-state-fmri-study
#14
Viola Rjosk, Jöran Lepsien, Elisabeth Kaminski, Maike Hoff, Bernhard Sehm, Christopher J Steele, Arno Villringer, Patrick Ragert
Mirror visual feedback (MVF) is a promising approach to enhance motor performance without training in healthy adults as well as in patients with focal brain lesions. There is preliminary evidence that a functional modulation within and between primary motor cortices as assessed with transcranial magnetic stimulation (TMS) might be one candidate mechanism mediating the observed behavioral effects. Recently, studies using task-based functional magnetic resonance imaging (fMRI) have indicated that MVF-induced functional changes might not be restricted to the primary motor cortex (M1) but also include higher order regions responsible for perceptual-motor coordination and visual attention...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28219984/motor-neurons-tune-premotor-activity-in-a-vertebrate-central-pattern-generator
#15
Kristy J Lawton, Wick M Perry, Ayako Yamaguchi, Erik Zornik
Central patterns generators (CPGs) are neural circuits that drive rhythmic motor output without sensory feedback. Vertebrate CPGs are generally believed to operate in a top-down manner in which premotor interneurons activate motor neurons that in turn drive muscles. In contrast, the frog (Xenopus laevis) vocal CPG contains a functionally unexplored neuronal projection from the motor nucleus to the premotor nucleus, indicating a recurrent pathway that may contribute to rhythm generation. In this study we characterized the function of this bottom-up connection...
February 20, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28219776/deactivation-in-the-posterior-mid-cingulate-cortex-reflects-perceptual-transitions-during-binocular-rivalry-evidence-from-simultaneous-eeg-fmri
#16
Abhrajeet Roy, Keith Jamison, Sheng He, Steve Engel, Bin He
Binocular rivalry is a phenomenon in which perception spontaneously shifts between two different images that are dichoptically presented to the viewer. By elucidating the cortical networks responsible for these stochastic fluctuations in perception, we can potentially learn much about the neural correlates of visual awareness. We obtained concurrent EEG-fMRI data for a group of 20 healthy human subjects during the continuous presentation of dichoptic visual stimuli. The two eyes' images were tagged with different temporal frequencies so that eye specific steady-state visual evoked potential (SSVEP) signals could be extracted from the EEG data for direct comparison with changes in fMRI BOLD activity associated with binocular rivalry...
February 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28219431/assessment-of-triglyceride-and-cholesterol-in-overweight-people-based-on-multiple-linear-regression-and-artificial-intelligence-model
#17
Jing Ma, Jiong Yu, Guangshu Hao, Dan Wang, Yanni Sun, Jianxin Lu, Hongcui Cao, Feiyan Lin
BACKGROUND: The prevalence of high hyperlipemia is increasing around the world. Our aims are to analyze the relationship of triglyceride (TG) and cholesterol (TC) with indexes of liver function and kidney function, and to develop a prediction model of TG, TC in overweight people. METHODS: A total of 302 adult healthy subjects and 273 overweight subjects were enrolled in this study. The levels of fasting indexes of TG (fs-TG), TC (fs-TC), blood glucose, liver function, and kidney function were measured and analyzed by correlation analysis and multiple linear regression (MRL)...
February 20, 2017: Lipids in Health and Disease
https://www.readbyqxmd.com/read/28219180/-advances-in-effect-of-unilateral-auditory-deprivation-on-sound-localization
#18
J F Liu, J S Dai, N Y Wang
In patients with single-sided deafness (SSD), the interaural time difference and the interaural level difference signals are insufficient or missing, which result in the lack of sound localization ability and the decrease of speech comprehension in the noise environments. SSD can also cause the morphological and functional changes of the central auditory system, resulting in auditory deprivation. In early stage of the development, the auditory center is more susceptible to ambient environment and auditory inputs...
February 7, 2017: Zhonghua Er Bi Yan Hou Tou Jing Wai Ke za Zhi, Chinese Journal of Otorhinolaryngology Head and Neck Surgery
https://www.readbyqxmd.com/read/28218920/a-non-volatile-organic-electrochemical-device-as-a-low-voltage-artificial-synapse-for-neuromorphic-computing
#19
Yoeri van de Burgt, Ewout Lubberman, Elliot J Fuller, Scott T Keene, Grégorio C Faria, Sapan Agarwal, Matthew J Marinella, A Alec Talin, Alberto Salleo
The brain is capable of massively parallel information processing while consuming only ∼1-100 fJ per synaptic event. Inspired by the efficiency of the brain, CMOS-based neural architectures and memristors are being developed for pattern recognition and machine learning. However, the volatility, design complexity and high supply voltages for CMOS architectures, and the stochastic and energy-costly switching of memristors complicate the path to achieve the interconnectivity, information density, and energy efficiency of the brain using either approach...
February 20, 2017: Nature Materials
https://www.readbyqxmd.com/read/28218914/persistently-active-neurons-in-human-medial-frontal-and-medial-temporal-lobe-support-working-memory
#20
Jan Kamiński, Shannon Sullivan, Jeffrey M Chung, Ian B Ross, Adam N Mamelak, Ueli Rutishauser
Persistent neural activity is a putative mechanism for the maintenance of working memories. Persistent activity relies on the activity of a distributed network of areas, but the differential contribution of each area remains unclear. We recorded single neurons in the human medial frontal cortex and medial temporal lobe while subjects held up to three items in memory. We found persistently active neurons in both areas. Persistent activity of hippocampal and amygdala neurons was stimulus-specific, formed stable attractors and was predictive of memory content...
February 20, 2017: Nature Neuroscience
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