keyword
MENU ▼
Read by QxMD icon Read
search

neural network

keyword
https://www.readbyqxmd.com/read/28103527/distinct-cortico-striatal-connections-with-subthalamic-nucleus-underlie-facets-of-compulsivity
#1
Laurel S Morris, Kwangyeol Baek, Valerie Voon
The capacity to flexibly respond to contextual changes is crucial to adapting to a dynamic environment. Compulsivity, or behavioural inflexibility, consists of heterogeneous subtypes with overlapping yet discrete neural substrates. The subthalamic nucleus (STN) mediates the switch from automatic to controlled processing to slow, break or stop behaviour when necessary. Rodent STN lesions or inactivation are linked with perseveration or repetitive, compulsive responding. However, there are few studies examining the role of latent STN-centric neural networks and compulsive behaviour in healthy individuals...
December 29, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28103196/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks
#2
Julius Hannink, Thomas Kautz, Cristian Pasluosta, Karl-Gunter Gassmann, Jochen Klucken, Bjoern Eskofier
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract these parameters from inertial sensor data are, however, limited in their clinical applicability due to the underlying assumptions. To overcome this, we present a method to translate the abstract information provided by wearable sensors to context-related expert features based on deep convolutional neural networks. Regarding mobile gait analysis, this enables integration-free and data-driven extraction of a set of eight spatio-temporal stride parameters...
December 8, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28103186/what-the-success-of-brain-imaging-implies-about-the-neural-code
#3
Olivia Guest, Bradley C Love
The success of fMRI places constraints on the nature of the neural code. The fact that researchers can infer similarities between neural representations, despite fMRI's limitations, implies that certain neural coding schemes are more likely than others. For fMRI to succeed given its low temporal and spatial resolution, the neural code must be smooth at the voxel and functional level such that similar stimuli engender similar internal representations. Through proof and simulation, we determine which coding schemes are plausible given both fMRI's successes and its limitations in measuring neural activity...
January 19, 2017: ELife
https://www.readbyqxmd.com/read/28102912/different-spatio-temporal-eeg-features-drive-the-successful-decoding-of-binaural-and-monaural-cues-for-sound-localization
#4
Adam Bednar, Francis M Boland, Edmund C Lalor
The human ability to localize sound is essential for monitoring the environment and helps us to analyze complex auditory scenes. Although the acoustic cues mediating sound localization have been established, it remains unknown how these cues are represented in human cortex. In particular, it is still a point of contention whether binaural and monaural cues are processed by the same or distinct cortical networks. In this study, participants listened to a sequence of auditory stimuli from different spatial locations while we recorded their neural activity using electroencephalography (EEG)...
January 19, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28102689/high-dimensional-atomistic-neural-network-potentials-for-molecule-surface-interactions-hcl-scattering-from-au-111
#5
Brian Kolb, Xuan Luo, Xueyao Zhou, Bin Jiang, Hua Guo
Ab initio molecular dynamics (AIMD) simulations of molecule-surface scattering allow first-principles characterization of the dynamics. However, the large number of density functional theory calculations along the trajectories are very costly, limiting simulations of long-time events. To avoid this computational bottleneck, we report here the development of a high-dimensional molecule-surface interaction potential energy surface (PES) with movable surface atoms, using a machine learning approach. With 60 degrees of freedom, this PES allows energy transfer between the impinging molecule and surface atoms...
January 19, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28102460/neural-mass-models-as-a-tool-to-investigate-neural-dynamics-during-seizures
#6
Tatiana Kameneva, Tianlin Ying, Ben Guo, Dean R Freestone
Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based on a model that has been shown to replicate the electrophysiological dynamics observed during seizures. The results provide insights into possible mechanisms for seizure spread. We observe that epileptiform activity remains localized to a pathological region when a global connectivity parameter is less than a critical value...
January 19, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28102300/neural-correlates-of-speech-segregation-based-on-formant-frequencies-of-adjacent-vowels
#7
Claude Alain, Jessica S Arsenault, Linda Garami, Gavin M Bidelman, Joel S Snyder
The neural substrates by which speech sounds are perceptually segregated into distinct streams are poorly understood. Here, we recorded high-density scalp event-related potentials (ERPs) while participants were presented with a cyclic pattern of three vowel sounds (/ee/-/ae/-/ee/). Each trial consisted of an adaptation sequence, which could have either a small, intermediate, or large difference in first formant (Δf1) as well as a test sequence, in which Δf1 was always intermediate. For the adaptation sequence, participants tended to hear two streams ("streaming") when Δf1 was intermediate or large compared to when it was small...
January 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28101760/a-cad-of-fully-automated-colonic-polyp-detection-for-contrasted-and-non-contrasted-ct-scans
#8
Gökalp Tulum, Bülent Bolat, Onur Osman
PURPOSE: Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this paper, we aimed to develop a fully integrated CAD system for automated detection of polyps that yields a high polyp detection rate with a reasonable number of false positives. METHODS: The proposed CAD system is a multistage implementation whose main components are: automatic colon segmentation, candidate detection, feature extraction and classification...
January 18, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28101525/untangling-basal-ganglia-network-dynamics-and-function-role-of-dopamine-depletion-and-inhibition-investigated-in-a-spiking-network-model
#9
Mikael Lindahl, Jeanette Hellgren Kotaleski
The basal ganglia are a crucial brain system for behavioral selection, and their function is disturbed in Parkinson's disease (PD), where neurons exhibit inappropriate synchronization and oscillations. We present a spiking neural model of basal ganglia including plausible details on synaptic dynamics, connectivity patterns, neuron behavior, and dopamine effects. Recordings of neuronal activity in the subthalamic nucleus and Type A (TA; arkypallidal) and Type I (TI; prototypical) neurons in globus pallidus externa were used to validate the model...
November 2016: ENeuro
https://www.readbyqxmd.com/read/28100896/investigating-the-effect-of-traditional-persian-music-on-ecg-signals-in-young-women-using-wavelet-transform-and-neural-networks
#10
Behzad Abedi, Ataollah Abbasi, Atefeh Goshvarpour
OBJECTIVE: In the past few decades, several studies have reported the physiological effects of listening to music. The physiological effects of different music types on different people are different. In the present study, we aimed to examine the effects of listening to traditional Persian music on electrocardiogram (ECG) signals in young women. METHODS: Twenty-two healthy females participated in this study. ECG signals were recorded under two conditions: rest and music...
January 17, 2017: Anatolian Journal of Cardiology
https://www.readbyqxmd.com/read/28100830/neural-bases-of-recommendations-differ-according-to-social-network-structure
#11
Matthew Brook O'Donnell, Joseph B Bayer, Christopher N Cascio, Emily B Falk
Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others-high information brokers-use their brains differently than low information brokers when making recommendations? We test the hypothesis that those with more opportunities for information brokerage may use brain systems implicated in considering the thoughts, perspectives, and mental states of others (i.e. 'mentalizing') more when spreading ideas...
January 18, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/28100828/an-integrated-modelling-framework-for-neural-circuits-with-multiple-neuromodulators
#12
Alok Joshi, Vahab Youssofzadeh, Vinith Vemana, T M McGinnity, Girijesh Prasad, KongFatt Wong-Lin
Neuromodulators are endogenous neurochemicals that regulate biophysical and biochemical processes, which control brain function and behaviour, and are often the targets of neuropharmacological drugs. Neuromodulator effects are generally complex partly owing to the involvement of broad innervation, co-release of neuromodulators, complex intra- and extrasynaptic mechanism, existence of multiple receptor subtypes and high interconnectivity within the brain. In this work, we propose an efficient yet sufficiently realistic computational neural modelling framework to study some of these complex behaviours...
January 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/28100381/-trend-of-mortality-of-congenital-malformation-in-children-aged-5-years-in-beijing-2006-2015
#13
J Wang, D Y Li, W X Zhang, Y C Li, J Wang
Objective: To investigate the change in mortality of congenital malformation in children aged <5 years in Beijing from 2006 to 2015. Methods: Using the death surveillance data in children aged <5 years in Beijing from 2006 to 2015, which was collected from the real-time surveillance network, we calculated the area and age distributions of the mortality of congenital malformation in children aged <5 years in Beijing. Meanwhile, the variations of age, time and space in the causes of deaths were discussed...
January 10, 2017: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
https://www.readbyqxmd.com/read/28099168/a-non-invasive-approach-to-investigation-of-ventricular-blood-pressure-using-cardiac-sound-features
#14
Hong Tang, Jinghui Zhang, Huaming Chen, Ashok Mondal, Yongwan Park
Heart sounds (HSs) are produced by the interaction of the heart valves, great vessels, and heart wall with blood flow. Previous researchers have demonstrated that blood pressure can be predicted by exploring the features of cardiac sounds. These features include the amplitude of the HSs, the ratio of the amplitude, the systolic time interval, and the spectrum of the HSs. A single feature or combinations of several features have been used for prediction of blood pressure with moderate accuracy. Experiments were conducted with three beagles under various levels of blood pressure induced by different doses of epinephrine...
January 18, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28099137/epilepsy-associated-alterations-in-hippocampal-excitability
#15
Mojdeh Navidhamidi, Maeheh Ghasemi, Nasrin Mehranfard
The hippocampus exhibits a wide range of epilepsy-related abnormalities and is situated in the mesial temporal lobe, where limbic seizures begin. These abnormalities could affect membrane excitability and lead to overstimulation of neurons. Multiple overlapping processes refer to neural homeostatic responses develop in neurons that work together to restore neuronal firing rates to control levels. Nevertheless, homeostatic mechanisms are unable to restore normal neuronal excitability, and the epileptic hippocampus becomes hyperexcitable or hypoexcitable...
January 18, 2017: Reviews in the Neurosciences
https://www.readbyqxmd.com/read/28099068/same-story-different-story
#16
Yaara Yeshurun, Stephen Swanson, Erez Simony, Janice Chen, Christina Lazaridi, Christopher J Honey, Uri Hasson
Differences in people's beliefs can substantially impact their interpretation of a series of events. In this functional MRI study, we manipulated subjects' beliefs, leading two groups of subjects to interpret the same narrative in different ways. We found that responses in higher-order brain areas-including the default-mode network, language areas, and subsets of the mirror neuron system-tended to be similar among people who shared the same interpretation, but different from those of people with an opposing interpretation...
January 1, 2017: Psychological Science
https://www.readbyqxmd.com/read/28098822/application-of-fault-tree-analysis-and-fuzzy-neural-networks-to-fault-diagnosis-in-the-internet-of-things-iot-for-aquaculture
#17
Yingyi Chen, Zhumi Zhen, Huihui Yu, Jing Xu
In the Internet of Things (IoT) equipment used for aquaculture is often deployed in outdoor ponds located in remote areas. Faults occur frequently in these tough environments and the staff generally lack professional knowledge and pay a low degree of attention in these areas. Once faults happen, expert personnel must carry out maintenance outdoors. Therefore, this study presents an intelligent method for fault diagnosis based on fault tree analysis and a fuzzy neural network. In the proposed method, first, the fault tree presents a logic structure of fault symptoms and faults...
January 14, 2017: Sensors
https://www.readbyqxmd.com/read/28098774/learning-to-diagnose-cirrhosis-with-liver-capsule-guided-ultrasound-image-classification
#18
Xiang Liu, Jia Lin Song, Shuo Hong Wang, Jing Wen Zhao, Yan Qiu Chen
This paper proposes a computer-aided cirrhosis diagnosis system to diagnose cirrhosis based on ultrasound images. We first propose a method to extract a liver capsule on an ultrasound image, then, based on the extracted liver capsule, we fine-tune a deep convolutional neural network (CNN) model to extract features from the image patches cropped around the liver capsules. Finally, a trained support vector machine (SVM) classifier is applied to classify the sample into normal or abnormal cases. Experimental results show that the proposed method can effectively extract the liver capsules and accurately classify the ultrasound images...
January 13, 2017: Sensors
https://www.readbyqxmd.com/read/28098758/neurotrophin-promotes-neurite-outgrowth-by-inhibiting-rif-gtpase-activation-downstream-of-mapks-and-pi3k-signaling
#19
Xiaoxia Tian, Huijuan Yan, Jiayi Li, Shuang Wu, Junyu Wang, Lifei Fan
Members of the well-known semaphorin family of proteins can induce both repulsive and attractive signaling in neural network formation and their cytoskeletal effects are mediated in part by small guanosine 5'-triphosphatase (GTPases). The aim of this study was to investigate the cellular role of Rif GTPase in the neurotrophin-induced neurite outgrowth. By using PC12 cells which are known to cease dividing and begin to show neurite outgrowth responding to nerve growth factor (NGF), we found that semaphorin 6A was as effective as nerve growth factor at stimulating neurite outgrowth in PC12 cells, and that its neurotrophic effect was transmitted through signaling by mitogen-activated protein kinases (MAPKs) and phosphatidylinositol-3-kinase (PI3K)...
January 13, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28098186/a-novel-multi-target-regression-framework-for-time-series-prediction-of-drug-efficacy
#20
Haiqing Li, Wei Zhang, Ying Chen, Yumeng Guo, Guo-Zheng Li, Xiaoxin Zhu
Excavating from small samples is a challenging pharmacokinetic problem, where statistical methods can be applied. Pharmacokinetic data is special due to the small samples of high dimensionality, which makes it difficult to adopt conventional methods to predict the efficacy of traditional Chinese medicine (TCM) prescription. The main purpose of our study is to obtain some knowledge of the correlation in TCM prescription. Here, a novel method named Multi-target Regression Framework to deal with the problem of efficacy prediction is proposed...
January 18, 2017: Scientific Reports
keyword
keyword
31085
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"