Neural control. Medical search. Frequent questions

In order to take rendering domains and image differences out of the issue, the team developed a pipeline system containing a neural network, dubbed "rendering invariant state-prediction (RISP)" network. (controleng.com)

In this book, the use of artificial neural networks for identification and control of induction machine systems is presented. (novapublishers.com)
Article: High performance speed tracking of induction motor drives using an adaptive fuzzy-neural network control Journal: International Journal of Artificial Intelligence and Soft Computing (IJAISC) 2010 Vol.2 No.3 pp.231 - 244 Abstract: This paper relates an adaptive speed control of hybrid fuzzy-neural network for high-performance induction motor drives. (inderscience.com)
The authors were given access to suitable commercial databases and have experimented with a number of different techniques of analysis including decision tree analysis, linear regression, discriminant analysis and artificial neural networks. (ssrn.com)
The application of neural networks to artificial intelligence (AI). (sas.com)
and performing, by the controller, a closing time prediction to derive a closing time of the injector by an artificial neural network model including an input layer including the input matrix, a hidden layer, and an output layer. (justia.com)
The present disclosure relates to a method for sensing a closing time of an injector using an artificial neural network and a method for controlling an injector using the same, and more particularly, to a method capable of accurately sensing a closing time of an injector and performing a control to suit the characteristic of the injector using the sensed closing time of the injector. (justia.com)
Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to the lack of an external memory. (nature.com)
The use of Artificial Neural Networks (ANNs) as a predictive tool has been shown to have a broad range of applications. (sae.org)
Artificial neural network models were developed for CO 2 , CO, NOx, and PM emissions from a 1999 Cummins ISM 370 engine. (sae.org)
Jarrett, R. and Clark, N., "Weighting of Parameters in Artificial Neural Network Prediction of Heavy-Duty Diesel Engine Emissions," SAE Technical Paper 2002-01-2878, 2002, https://doi.org/10.4271/2002-01-2878 . (sae.org)

Recently, more and more scholars have applied neural network technique to inventory control. (hindawi.com)

Unlike traditional neural networks, all inputs to a recurrent neural network are not independent of each other, and the output for each element depends on the computations of its preceding elements. (sas.com)

This work presents a preview based vehicle steering controller using Neural Networks which can be used in the vehicle lateral dynamics simulations. (sae.org)
Preview based Vehicle Steering Control using Neural Networks," SAE Technical Paper 2013-01-0409, 2013, https://doi.org/10.4271/2013-01-0409 . (sae.org)
Methods for particle and object tracking currently employed in digital microscopy are based on convolutional neural networks designed for post-processing, i.e., they are optimized for accuracy, not speed. (nature.com)
Considering that neural networks are capable of handling time varying nonlinearities due to their own nonlinear nature, they are suitable for application in induction machine systems. (novapublishers.com)
As this can be a complex and costly process - often requiring markers placed on objects or people and recording the action sequence - researchers are working to shift the burden to neural networks, which could acquire this data from a simple video and reproduce it in a model. (controleng.com)
To overcome these limitations, we chose the architectures of neural networks deduced from the conventional models and the Levenberg-marquardt during the adjustment of system parameters of the adaptive neural internal model control. (scirp.org)
Ergo, our results present a refinement and synthesis of gradually developing ideas about the nature of impulsive control disorder in Parkinson's disease-an umbrella term encompassing various behavioral deviations related to distinct neuronal networks and presumably neurotransmitter systems, which greatly exceed the previously envisioned dopaminergic pathways as the only culprit. (muni.cz)
In invertebrates and vertebrates, networks of interconnected pacemaker neurons control waking behavior. (ox.ac.uk)
This paper studies the synchronization problem of coupled reaction-diffusion neural networks with time-varying delays. (uwaterloo.ca)
Exponential synchronization criteria are established for the delayed coupled reaction-diffusion neural networks. (uwaterloo.ca)
Our results show that synchronization of the neural networks can be achieved by controlling a small portion of nodes in the networks via delayed impulses. (uwaterloo.ca)
Both the design of the fuzzy controller and its integration with neural networks in a global control system are discussed. (inderscience.com)
The aim of this study is to improve classification performance of neural networks as an EEG-based BCI for mobile robot control by means of hyperparameter optimization in training the neural networks. (atlantis-press.com)
Therefore, the authors have applied Bayesian optimization to training the EEG-based BCI neural networks and achieved the performance improvement. (atlantis-press.com)
Nørgård, PM , Ravn, O , Poulsen, NK & Hansen, LK 2000, Neural Networks for Modelling and Control of Dynamic Systems - A Practitioner's Handbook . (dtu.dk)
Further work is being undertaken with fuzzy neural networks. (ssrn.com)
Its prediction accuracy was compared to that of a statistical regression model, and to those of two neural networks. (researchgate.net)
We investigated neural networks to differentiate the shape of joints of RA, PsA, and HC and extracted disease-specific characteristics as heat maps on 3D joint shapes that can be utilized in clinical routine examination using ultrasound. (frontiersin.org)
Switching from classical machine learning methods to neural networks is motivated by the way, in which neural network operate ( 10 ). (frontiersin.org)
We have recently developed the instruments to apply neural networks to high-resolution peripheral quantitative computed tomography (HR-pQCT) scans on joints. (frontiersin.org)
Neural Networks: What are they and why do they matter? (sas.com)
Neural networks are computing systems with interconnected nodes that work much like neurons in the human brain. (sas.com)
However, over time, researchers shifted their focus to using neural networks to match specific tasks, leading to deviations from a strictly biological approach. (sas.com)
As structured and unstructured data sizes increased to big data levels, people developed deep learning systems, which are essentially neural networks with many layers. (sas.com)
Why are neural networks important? (sas.com)
Neural networks are also ideally suited to help people solve complex problems in real-life situations. (sas.com)
Our first goal for these neural networks, or models, is to achieve human-level accuracy. (sas.com)
There are different kinds of deep neural networks - and each has advantages and disadvantages, depending upon the use. (sas.com)
Convolutional neural networks (CNNs) contain five types of layers: input, convolution, pooling, fully connected and output. (sas.com)
Convolutional neural networks have popularized image classification and object detection. (sas.com)
Recurrent neural networks (RNNs) use sequential information such as time-stamped data from a sensor device or a spoken sentence, composed of a sequence of terms. (sas.com)
Feedforward neural networks , in which each perceptron in one layer is connected to every perceptron from the next layer. (sas.com)
Taken together, our results demonstrate that DNCs have the capacity to solve complex, structured tasks that are inaccessible to neural networks without external read-write memory. (nature.com)
Graves, A. Generating sequences with recurrent neural networks. (nature.com)
Klambauer, G., Unterthiner, T., Mayr, A., Hochreiter, S.: Self-normalizing neural networks. (crossref.org)
Montúfar, G., Pascanu, R., Cho, K., Bengio, Y.: On the number of linear regions of deep neural networks. (crossref.org)
Burger, H., Schuler, C., Harmeling, S.: Image denoising: can plain neural networks compete with BM3D? (crossref.org)
dblp: CryptoSPN: Expanding PPML beyond Neural Networks. (uni-trier.de)
CryptoSPN: Expanding PPML beyond Neural Networks. (uni-trier.de)

We present a convolutional neural network single-shot detector which is suitable for real-time applications in optical microscopy. (nature.com)

How Do Health Care Providers Diagnose Neural Tube Defects (NTDs)? (medlineplus.gov)
What Are the Treatments for Neural Tube Defects (NTDs)? (medlineplus.gov)
Are There Disorders or Conditions Associated with Neural Tube Defects (NTDs)? (medlineplus.gov)
How Many People Are at Risk for Neural Tube Defects (NTDs)? (medlineplus.gov)
Congenital deformities involving the coverings of the nervous system are called neural tube defects (NTDs). (medscape.com)

The two most common neural tube defects are spina bifida and anencephaly. (medlineplus.gov)
The mildest form is spina bifida aperta, in which osseous fusion of one or more vertebral arches is lacking, without involvement of the underlying meninges or neural tissue. (medscape.com)

The Centers for Disease Control and Prevention (CDC) cannot attest to the accuracy of a non-federal website. (cdc.gov)

The training data for the Neural Network is being obtained using a steering controller from the existing literature and its gains are determined using Optimization. (sae.org)
These Neural Network models are validated by testing against real track data. (sae.org)
The control scheme contains two Recurrent Trainable Neural Network (RTNN) models. (actapress.com)
As one of the widely used techniques for inventory control, standard BP neural network has such problems as low convergence rate and poor prediction accuracy. (hindawi.com)
Aiming at these problems, a new fast convergent BP neural network model for predicting inventory level is developed in this paper. (hindawi.com)
This paper also applies the improved BP neural network model to predict the inventory level of an automotive parts company. (hindawi.com)
Thanks to the uncertain feature of inventory control and the strengths of neural network in model prediction, this paper chooses to use BP neural network to establish inventory model and predict inventory level. (hindawi.com)
BP neural network is a kind of nonlinear feed forward network which has good nonlinear mapping ability. (hindawi.com)
In view of the features of BP neural network, it has great advantages in classification and prediction. (hindawi.com)
However, it is acknowledged that BP neural network also has such problems as slow convergence and easily converging to local minimum when forecasting. (hindawi.com)
Considering the shortcomings of standard BP algorithm, this paper proposes a new fast convergent BP neural network model for predicting inventory level. (hindawi.com)
The application of the improved BP neural network model to predict the inventory level of an automotive parts company shows that the improved algorithm significantly outperforms the standard algorithm and some other improved BP algorithms both on convergence rate and prediction accuracy. (hindawi.com)
Based on the standard BP neural network, Section 3 introduces an improved BP neural network. (hindawi.com)
used a neural network-based data mining technique to solve the problem of inventory of a large medical distribution company [ 3 ]. (hindawi.com)
In order to overcome this issue, a PID controller based on fuzzy neural network algorithm is developed in this paper for tracking the trajectory and contact constant force simultaneously. (hindawi.com)
Secondly, fuzzy neural network algorithm is proposed, and two kinds of turning parameters are derived for trajectory tracking and contact constant force control. (hindawi.com)
In order to expand the robustness and adaptive capabilities of conventional PID controller, a neural network- (NN-) based PID controller which is tuned when the controller is operating in an online mode for high-performance magnet synchronous motor position control was proposed by Kumar et al. (hindawi.com)
An adaptive multilayer neural network controller for high precision maneuvering of underwater vehicles is presented. (srce.hr)
The neuro control system for underwater vehicle maneuvering described in this paper is based on a conventional controller supported with the so-called adaptive neural network. (srce.hr)
The adaptive neural network has two tunable layers, thus the problem of selection of proper basis is avoided. (srce.hr)
A neural network approach captures the characteristics of a physical system's dynamic motion from video, regardless of rendering configuration or image differences. (controleng.com)
Now, a team of researchers from MIT and IBM has developed a trained neural network pipeline that avoids this issue, with the ability to infer the state of the environment and the actions happening, the physical characteristics of the object or person of interest (system), and its control parameters. (controleng.com)
Even if the renderer is known, current neural network approaches still require large sets of training data. (controleng.com)
F. Zouari, K. Ben Saad and M. Benrejeb, "Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network," Journal of Software Engineering and Applications , Vol. 5 No. 3, 2012, pp. 168-189. (scirp.org)
This paper relates an adaptive speed control of hybrid fuzzy-neural network for high-performance induction motor drives. (inderscience.com)
As an EEG-based BCI for mobile robot control, the authors are developing a neural network (NN) for EEG signal classification. (atlantis-press.com)
This paper presents a robust adaptive neural-fuzzy network control (RANFNC) system for an n-link robot manipulator to achieve the highprecision position tracking. (univagora.ro)
In this control scheme, a four-layer neural-fuzzy-network (NFN) is used for the main role, and the adaptive tuning laws of network parameters are derived in the sense of a projection algorithm and the Lyapunov stability theorem to ensure network convergence as well as stable control performance. (univagora.ro)
Shuzhi S. Ge, Adaptive neural network control of robot manipulator in task space, IEEE rans. (univagora.ro)
Two approaches for VAV control based on backpropagation neural network are introduced which aims at training neural network with labeled historical data and desired output to perform a control decision. (ntu.edu.sg)
They have then built a predictive model using a neural network approach and this has proved to be strongly predictive. (ssrn.com)
This research proposes the application of a mathematical model termed Radial Basis function Neural Network (RBFNN). (researchgate.net)
We investigated whether a neural network based on the shape of joints can differentiate between rheumatoid arthritis (RA), psoriatic arthritis (PsA), and healthy controls (HC), which class patients with undifferentiated arthritis (UA) are assigned to, and whether this neural network is able to identify disease-specific regions in joints. (frontiersin.org)
We trained a novel neural network on 3D articular bone shapes of hand joints of RA and PsA patients as well as HC. (frontiersin.org)
After training, we fed shape patterns of UA into the neural network to classify them into RA, PsA, or HC. (frontiersin.org)
When feeding UA data into the neural network, 86% were classified as "RA," 11% as "PsA," and 3% as "HC" based on the joint shape. (frontiersin.org)
Neural network gain increasing attention in various fields of medicine ( 7 - 9 ). (frontiersin.org)
The first neural network was conceived of by Warren McCulloch and Walter Pitts in 1943. (sas.com)
They wrote a seminal paper on how neurons may work and modeled their ideas by creating a simple neural network using electrical circuits. (sas.com)
AI research quickly accelerated, with Kunihiko Fukushima developing the first true, multilayered neural network in 1975 . (sas.com)
The original goal of the neural network approach was to create a computational system that could solve problems like a human brain. (sas.com)
Here we introduce a machine learning model called a differentiable neural computer (DNC), which consists of a neural network that can read from and write to an external memory matrix, analogous to the random-access memory in a conventional computer. (nature.com)
Like a conventional computer, it can use its memory to represent and manipulate complex data structures, but, like a neural network, it can learn to do so from data. (nature.com)
Maas, A., Hannun, A., Ng, A.: Rectifier nonlinearities improve neural network acoustic models. (crossref.org)

Cell competition between sister neural stem/progenitor cells in mosaic environment. (phys.org)
In a study published in Developmental Cell , a group led by Prof. Wu Qingfeng from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences demonstrated the presence of cell competition between neural progenitor cells (NPCs) during neurodevelopment. (phys.org)
This work elucidates the drivers, properties, molecular features and physiological function of cell competition in the context of neural stem/progenitor cells during early neurodevelopment. (phys.org)
Neural Progenitor Cells Derived from XCL-1 DCXp-GFP are a neuronal lineage reporter cell line that can be used in neuronal differentiation and drug screening. (atcc.org)
To download a certificate of analysis for Neural Progenitor Cells Derived from XCL-1 DCXp-GFP ( ACS-5005 ), enter the lot number exactly as it appears on your product label or packing slip. (atcc.org)
The certificate of analysis for that lot of Neural Progenitor Cells Derived from XCL-1 DCXp-GFP ( ACS-5005 ) is not currently available online. (atcc.org)

The simulation results showed excellent tracking performance of the proposed control system, and have convincingly demonstrated the usefulness of the hybrid fuzzy-neural controller in high-performance drives with uncertainty. (inderscience.com)
B.K. Yoo and W.C Ham, Adaptive control of robot manipulator using fuzzy compensator, EEE Trans. (univagora.ro)
Y.Q. Zhang and A. Kandel, Compensatory neural-fuzzy systems with fast learning algorithms, EEE Trans. (univagora.ro)

In Advances in Neural Information Processing Systems Vol. 25 (eds Pereira, F. et al. (nature.com)
In Advances in Neural Information Processing Systems Vol. 27 (eds Ghahramani, Z. et al. (nature.com)
The recent advances introduced by neural machine translation (NMT) are rapidly expanding the application ﬁelds of machine translation, as well as reshaping the quality level to be targeted. (amazon.science)

Research suggests that polymer is more compatible with the human body than the silicon in conventional neural probes used in neuroscience studies. (asme.org)

The first aim addresses whether neural secretory reflexes triggered by mucosal stroking and activation of 5-HT1P receptors present on intrinsic afferent neurons stimulate chloride secretion. (usda.gov)
In general, these studies are expected to provide important insights into the neural reflex pathways that govern the fluidity of the intestinal contents, and in particular, the role of substance P-containing neurons during normal or pathophysiologic states of inflammation. (usda.gov)
Neural stem cells are generally accepted to produce three different cell types: neurons, astrocytes and oligodendrocytes. (neurosciencenews.com)
Adult neural stem cells (NSCs) are defined by their inherent capacity to self-renew and give rise to neurons, astrocytes, and oligodendrocytes. (neurosciencenews.com)
Excitatory and inhibitory neurons in the mammalian sensory cortex form interconnected circuits that control cortical stimulus selectivity and sensory acuity. (jneurosci.org)

Especially the ability to see dynamic processes opens the possibility to influence these processes in real-time via feedback control. (nature.com)
These results suggest that lifelong bilingualism offsets age-related declines in the neural efficiency for cognitive control processes. (jneurosci.org)
In a similar vein models to influence the content of a moral judgment by monitoring capturing the dynamics of the controlled and automatic participants' eye-movements as they deliberate between processes competing and mutually influencing one another alternatives and prompting their choice at a point in time in the generation of a moral judgement have recently been determined by their gaze behaviour. (lu.se)

One study showed that adults had more feedforward neural control, muscle reflexes, and higher relative leg stiffness than their juvenile counterparts when performing a hopping task. (wikipedia.org)

Neural Plasticity, 12 , 205-210. (bvsalud.org)

The neural tube defect discussed in this article is classified as an embryologic induction disorder. (medscape.com)

Therefore, it is not possible for the traditional proportional-integral-derivative (PID) controllers to provide effective control for trajectory tracking and constant force/twist control simultaneously. (hindawi.com)
The synthesis of lead, lag, lead-lag, dynamic inversion, model predictive control-based feedback controllers over the nonlinear dynamics of the neuron led to controlled firing and a fast response that was robust to stochastic synaptic noise. (researchsquare.com)

C.-H. Choi and H.-C. Kim, "A robust internal model adaptive controller," Proceedings of the 36th IEEE Conference on Decision and Control, San Diego, 10-12 December 1997, pp. 2758-2761. (scirp.org)
C. Cheng and M.-S. Chiu, "Adaptive IMC Controller Design for Nonlinear Process Control," Chemical Engineering Research and Design, Vol. 85, No. 2, 2007, pp. 234-244. (scirp.org)
Next, a dynamic inversion nonlinear controller, a robust incremental dynamic inversion controller, and a model predictive controller are derived to directly regulate the nonlinear neuron dynamics in terms of controlled firing. (researchsquare.com)

More broadly, this work provides an approach for interpreting neural population activity in the context of how prior beliefs guide the transformation of sensory input to motor output. (elifesciences.org)
This precision is especially impressive in light of sensory feedback delays inherent to neural transmission and processing: when we make a swift arm movement, the brain only knows where the arm was a split second ago, not where it currently is. (elifesciences.org)
SIGNIFICANCE STATEMENT Excitatory and inhibitory interactions determine stimulus specificity and tuning in sensory cortex, thereby controlling perceptual discrimination acuity. (jneurosci.org)

A thorough understanding of how and why the brain controls limb stiffness could lead to improvements in many robotic technologies that attempt to mimic human movement. (wikipedia.org)
Xue-Lian Sun et al, Stem cell competition driven by the Axin2-p53 axis controls brain size during murine development, Developmental Cell (2023). (phys.org)
Here, we leveraged a brain-machine interface (BMI) paradigm in rhesus monkeys and novel statistical analyses of neural population activity to gain insight into moment-by-moment internal model computations. (elifesciences.org)
In the future, according to researchers, the devices - known as neural prosthetics - will help epileptics, persons with treatment-resistant depression and chronic pain, victims of Alzheimer's disease, wounded war veterans suffering post-traumatic stress disorder and traumatic brain injury, persons with speech disabilities, and individuals who have sustained spinal cord injury and loss of limbs, among other applications in the research pipeline. (asme.org)
These materials have mechanical properties that mimic neural tissue more closely than traditional micro wires used in current cochlear and deep brain stimulating implants. (asme.org)
Neural tube defects are birth defects of the brain, spine, or spinal cord. (medlineplus.gov)
Anencephaly and rachischisis are extremely severe forms of neural tube defects, in which an extensive opening in the cranial and vertebral bone is present with an absence of variable amounts of the brain, spinal cord, nerve roots, and meninges. (medscape.com)
The brain is the master control of the entire urinary system. (medscape.com)
Cognitive control of micturition is achieved by communication from a number of brain structures to the periaqueductal gray matter, which then exerts control over the pontine micturition center to suppress or trigger a voiding reflex. (medscape.com)
As a result of dependence upon higher brain centers, certain lesions or diseases of the brain (eg, stroke, cancer, dementia) can result in a loss of voluntary control of the normal micturition reflex as well as symptoms such as urinary urgency. (medscape.com)
The ability of the brain to control the PMC is part of the social training that children experience during growth and development. (medscape.com)
Usually the brain takes over the control of the pons, via the periaqueducatal gray matter, when children undergo toilet training. (medscape.com)

This work concerns the study of problems relating to the adaptive internal model control of DC motor in both cases conventional and neural. (scirp.org)
The choice of parametric adaptation algorithm for updating elements of the conventional adaptive internal model control shows limitations. (scirp.org)
Conventional rigid neural devices are believed to cause micro tearing because the neural tissue is softer than the device. (asme.org)

In recent times, an overwhelming development in the terrain of advantage PID control schemes for parameters tuning has encouraged various control engineers to work in this developing field. (hindawi.com)

Recent behavioral data have shown that lifelong bilingualism can maintain youthful cognitive control abilities in aging. (jneurosci.org)
Here, we provide the first direct evidence of a neural basis for the bilingual cognitive control boost in aging. (jneurosci.org)
Cognitive control refers to the ability to flexibly shape thoughts and behavior to meet internal goals in the face of constantly changing environmental demands ( Miller and Cohen, 2001 ). (jneurosci.org)
However, the functional neuroanatomic bases of bilingual cognitive control advantages in aging remain unknown. (jneurosci.org)

Hence, vehicle dynamics and control simulations should take into consideration the action of the driver. (sae.org)
Closed-loop control of the firing rate of the neuron is thus desirable, but very challenging due to the underlying highly nonlinear dynamics. (researchsquare.com)
A Hodgkin-Huxley model of the nonlinear neural dynamics in terms of its membrane potential with respect to current stimulation is developed together with its underlying ion channel dynamics in terms of gating variables. (researchsquare.com)

Compared with the control condition, exercise between the first (VT1) and the second (VT2) ventilatory threshold (MCE), but not exercise that exceeded VT2 (HIIE), improved performance in the task and increased the N2 component, which is a neural marker of inhibition. (nih.gov)
Each injection was compared to RFP injected in control embryos in which RFP positive cranial neural crest cells have successfully migrated into the branchial and hyoid arches (0% inhibition). (elifesciences.org)

Summary: A new study reports hippocampal neural stem cells regulate their own cell fate via the protein Drosha. (neurosciencenews.com)
A research group at the University of Basel now describes for the first time a mechanism by which hippocampal neural stem cells regulate their own cell fate via the protein Drosha. (neurosciencenews.com)

Nowadays, the increased involvement of robotic manipulators in various industrial manufacturing facilities, such as precision assembly, and polishing in the field of ceramic sanitary ware or aircraft engine, precision surgery, and automobile manufacturing lead to new and innovative developments in the domain of dynamic modeling of mechanisms and control [ 1 - 3 ]. (hindawi.com)

But before neural prosthetics can advance, engineers will be called on to make innovative use of materials to design and fabricate devices that allow sustained electronic functioning in the harsh environment of the human body, without causing tissue infection and other serious adverse conditions. (asme.org)
Research efforts have focused on enhancing the performance of various types of materials used in neural prosthetics, in addition to developing interface technologies that enable the micro devices to be safely implanted in human tissue for long periods. (asme.org)
In experiments with auditory prosthetic applications, the microelectrodes comprising the neural interface are embedded in the polymer, which allows the device to move naturally and conform to live tissue in which it is implanted. (asme.org)

The aim of the proposed control scheme is to improve the performance and robustness of the induction motor drives under non-linear loads and parameter variations. (inderscience.com)

The most important aspects of design building blocks of adaptive internal model control are the choice of architectures, learning algorithms, and examples of learning. (scirp.org)

In particular, the trajectory tracking and contact constant force control of the robotic manipulator for the working environment under contact condition has become popular because of its high precision and quality operation. (hindawi.com)

Retrieved August 18, 2016 from https://neurosciencenews.com/neural-stem-cells-genetics-4869/[/cbtab][cbtab title="Chicago"]University of Basel. (neurosciencenews.com)
https://neurosciencenews.com/neural-stem-cells-genetics-4869/ (accessed August 18, 2016). (neurosciencenews.com)

The current view proposes that stem cell differentiation is controlled by their local environment, the so-called niche. (neurosciencenews.com)
The functions of the hippocampus are based on different cell types, some of which are generated throughout life by neural stem cells. (neurosciencenews.com)
Researchers from the Department of Biomedicine at the University of Basel have now found that the fate of adult hippocampal stem cells is not only controlled by their local niche, but also by a cell-intrinsic mechanism. (neurosciencenews.com)
These are neural stem cells in the adult mouse hippocampus. (neurosciencenews.com)
Our research results about the function of Drosha challenge the way we used to think about how stem cell fate is controlled», says cell biologist Taylor. (neurosciencenews.com)
CD133+), but are rarely codetected with the neural stem dents, very few human-specific NSC markers have been cell (NSC) marker CD15. (lu.se)

4) Information of inventory control models is always indirect and the collection of information is time-consuming and of low efficiency. (hindawi.com)
5) Inventory control models always ignore the influence of uncertain factors, such as lead time, transportation conditions, and change of demand. (hindawi.com)
We discovered that a mismatch between subjects' internal models and the actual BMI explains roughly 65% of movement errors, as well as long-standing deficiencies in BMI speed control. (elifesciences.org)
We then used the internal models to characterize how the neural population activity changes during BMI learning. (elifesciences.org)

Humans use neural control along with the mechanical constraints of the body to adjust this stiffness as the body performs various tasks. (wikipedia.org)

The experimental results demonstrated that Bayesian optimization of hyperparameters improved the classification rate of the EEG-based BCI NNs for mobile robot control. (atlantis-press.com)

R.J. Schilling, Fundamentals of Robotics, Analysis and control. (univagora.ro)

G. J. Silva and A. Datta, "Adaptive Internal Model Control: The Discrete-Time Case," International Journal of Adaptive Control and Signal Processing, Vol. 15, No.1, 2001, pp. 15-36. (scirp.org)

Feedback control of active particles introduces the possibility to respond to external events or neighboring active particles by complex behavioral rules allowing a completely new approach to study the consequences of sensorial interactions in biological species. (nature.com)
Changes in neural population responses consistently predicted behavioral changes for individuals separately, including improvement and impairment in acuity. (jneurosci.org)

Thought you might appreciate this item(s) I saw in Neural Regeneration Research. (lww.com)
Among the engineering challenges associated with neural prosthetics is the biocompatibility of the implant," says Dr. Sarah Felix, a lead research engineer at Lawrence Livermore and also a member of ASME. (asme.org)
Neural Analytics is actively enrolling patients into this research feasibility study and intends on activating up to 15 sites, both domestically and globally. (biospace.com)
A capacity-building contract with Virginia Tech University on ground control research to improve safety performance in underground stone and other large-opening mines. (cdc.gov)

The projects were developed by following a disciplined development process in controlled environments. (researchgate.net)
The data used in this study were obtained from a controlled experiment where students developed their projects following a process specifically designed to develop software projects at disciplined manner in academic environments [33] . (researchgate.net)

These findings indicate that the monkeys have likely developed inner beliefs to predict how their neural signals drive the cursor, and that these beliefs helped coordinate their performance. (elifesciences.org)

The nervous system also controls limb stiffness to modulate the degree of accuracy that is required for a given task. (wikipedia.org)
In the case of accurate movements, the central nervous system is able to precisely control limb stiffness to limit movement variability. (wikipedia.org)

And a user-side web GUI (PHP Environment) also has completed for personalized energy management which allows individual owner to control temperature set-point and check the historical environment data. (ntu.edu.sg)
Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. (uni-trier.de)

The advantages of IT opioids for analgesia, especially if spinal anesthesia is already planned, include its simplicity, lack of need for catheter care or pumps, low cost, and easy supplementation with low-dose patient-controlled analgesia (PCA) opioids as needed. (medscape.com)

Anatomy37

Organisms8

Diseases1

Chemicals and Drugs4

Analytical, Diagnostic and Therapeutic Techniques and Equipment16

Psychiatry and Psychology11

Phenomena and Processes42

Disciplines and Occupations2

Anthropology, Education, Sociology and Social Phenomena2

Technology, Industry, Agriculture1

Information Science6

Health Care1

Containing a neural network1

Artificial10

Applied neural network1

Recurrent Neural1

Networks39

Convolutional1

NTDs5

Spina bifida2

Centers for Diseas1

Network44

Progenitor6

Fuzzy3

Advances3

Neuroscience1

Neurons5

Processes3

Feedforward1

Plasticity1

Tube defect1

Controllers2

Controller3

Sensory3

Brain12

Conventional3

Parameters1

Cognitive4

Dynamics3

Inhibition2

Regulate2

Mechanisms1

Tissue3

Robustness1

Learning algorithms1

Robotic manipulator1

Https2

Stem6

Models4

Humans1

Classification1

Robotics1

Adaptive Control1

Behavioral2

Research4

Environments2

Predict1

Nervous system2

Data2

Advantages1