Patterns of neural. Medical search. Frequent questions

In order to improve the accuracy of motion pattern recognition, this paper combines the artificial visual neural network to construct a motion pattern recognition system. (hindawi.com)
In addition, this paper constructs an intelligent motion pattern recognition system combined with artificial visual neural network. (hindawi.com)
The experimental results show that the motion pattern recognition system based on artificial visual neural network can accurately identify the motion pattern category. (hindawi.com)
The quality of feature extraction largely determines the accuracy of motion pattern recognition and is a key step in trajectory motion pattern recognition. (hindawi.com)
Establishing a classifier means using the feature vector of the training trajectory as the input of the classifier to train a classifier for motion pattern recognition. (hindawi.com)
To reduce the bad effect of electrode shifts on myoelectric pattern recognition, this paper presents an adaptive electrode calibration method based on core activation regions of muscles. (embs.org)
Bishop CM (1995) Neural networks for pattern recognition. (crossref.org)
Adaptive pattern recognition and neural networks. (crossref.org)
Pao YH (1989) Adaptive pattern recognition and neural networks. (crossref.org)
The work is devoted to the study of pattern recognition features of industrial parts in individual fasteners' forms. (nure.ua)
An approach to recognition of hardware products such as fasteners using neural network, which is implemented in Python using Keras machine learning library, is proposed. (nure.ua)
Al-Sharo Y. M., Abu-Jassar A. T., Sotnik S., Lyashenko V. Neural Networks As A Tool For Pattern Recognition of Fasteners // International Journal of Engineering Trends and Technology. (nure.ua)
The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. (centcourse.com)
Pattern Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods, polynomial regression. (firebaseapp.com)
In regression neural networks for pattern recognition, a trained network may often produce large errors when identifying a test pattern not found in the training set. (singaporetech.edu.sg)
Introduction to Lattice Algebra: With Applications in AI, Pattern Recognition, Image Analysis, and Biomimetic Neural Networks lays emphasis on two subjects, the first being lattice algebra and the second the practical applications of that algebra. (scanlibs.com)
This textbook is intended to be used for a special topics course in artiﬁcial intelligence with a focus on pattern recognition, multispectral image analysis, and biomimetic artiﬁcial neural networks. (scanlibs.com)

Although quantum neural networks (QNNs) have shown promising results in solving simple machine learning tasks recently, for the time being, the effect of entanglement in QNNs and the behavior of QNNs in binary pattern classification are still underexplored. (ox.ac.uk)
We further empirically evaluate the negational symmetry of QNNs in binary pattern classification tasks using Google's quantum computing framework. (ox.ac.uk)
Convolutional neural networks have popularized image classification and object detection. (sas.com)
MVPA revealed classification between picture categories during early perceptual stages of encoding (∼170 ms). Importantly, these visual category-specific neural patterns were predictive of later episodic remembering, but the direction of the relationship was contingent on the particular retrieval demand of the memory task: a benefit for the visual and a cost for the verbal. (lu.se)
In recent years, zero-shot prediction models have been introduced for mapping between neural signals and semantic attributes, which allows for classification of stimulus classes not explicitly included in the training set. (frontiersin.org)
The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification. (firebaseapp.com)
Previous studies on the classification of WBM defect patterns have demonstrated effective performances. (kaist.ac.kr)
Classification accuracies of up to 82 % are reached with one-dimensional convolutional neural networks on raw data. (lu.se)

Using Transfer Learning with a Convolutional Neural Network, the rainfall detection was performed on single images taken in heterogeneous conditions by static or moving cameras without adjusted parameters. (mdpi.com)
We use a triplet loss-based convolutional neural network as an embedding function to obtain a well-separated low-dimensional space according to the defect patterns. (kaist.ac.kr)

In Proceedings of the International Joint Conference on Neural Networks (Budapest, Hungary, July 14-19, 2019) Institute of Electrical and Electronics Engineers Inc. (etsmtl.ca)

This research proposes the application of a mathematical model termed Radial Basis function Neural Network (RBFNN). (researchgate.net)

The DSG contains the generator neurons involved in triggering, shaping, and timing the sequential or rhythmic swallowing pattern, and the VSG contains switching neurons that distribute the swallowing drive to the various pools of motoneurons involved in the motor activity. (nature.com)
Figure 1: Swallowing motor pattern and sequential activity of vagal motor fibers in species with striated (a, sheep) or striated and smooth muscle (b, baboon) esophagus. (nature.com)
It is now clearly established, as originally postulated in the pioneer work by Meltzer, 13 that the sequential and rhythmic patterns of swallowing are formed and organized by a central pattern generator ( CPG ). (nature.com)
van Dijk, D & van der Velde, F 2015, ' A central pattern generator for controlling sequential activation in a neural architecture for sentence processing ', Neurocomputing , vol. 170, pp. 128-140. (utwente.nl)
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)
Evidence is presented that the developing MG is patterned by sequential Ephrin/FGF/MAPK and Delta/Notch signaling events. (biologists.com)

The anatomic features common to the entire group is an anomaly in the midline structures of the back, especially the absence of some of the neural arches, and defects of the skin, filum terminale, nerves, and spinal cord (see the images below). (medscape.com)
Pathophysiology of neural tube defects. (medlineplus.gov)
Folic acid for the prevention of neural tube defects: US Preventive Services Task Force Recommendation Statement. (medlineplus.gov)
The commonest anomalies were in the nervous system , particularly neural tube defects , followed by suspected chromosomal abnormalities and then cardiac defects. (bvsalud.org)
Trend and burden of neural tube defects among cohort of pregnant women in Ethiopia: Where are we in the prevention and what is the way forward? (cdc.gov)

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)

Neurons containing 5-HT7 affect the step cycle duration of the oscillation and the locomotor pattern. (wikipedia.org)
Swallowing is organized by a network of swallowing-related neurons that form the central swallowing pattern generator ( SPG ) located in the medulla oblongata. (nature.com)
Neural networks are computing systems with interconnected nodes that work much like neurons in the human brain. (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)
In this paper, we study neural synchronization in a random network where nodes are neurons with excitatory and inhibitory synapses, and neural activity for each node is provided by the adaptive exponential integrate-and-fire model. (elsevierpure.com)

He is working to understand the molecular and cellular mechanisms of graded signaling in the vertebrate neural tube.We interviewed him about the development of ideas on morphogenetic gradients and his own work on modeling the development of the neural tube for our series on modeling in biology. (crick.ac.uk)
This short-range relay is distinct from the patterning of the vertebrate spinal cord, which is a result of opposing BMP and Shh morphogen gradients. (biologists.com)

The ultimate goal of this study is to develop an integrative, data-driven model to examine how patterns of brain activation across functional domains give rise to distinct mechanisms underlying resilience, and how these neural mechanisms interrelate with behavioral (e.g., emotion regulation, reward responses, social cognition) and psychosocial (e.g., coping self-efficacy, positive emotions, social connectedness) factors implicated in resilience. (cdc.gov)
Behavioral patterning by neural networks lacking sensory innervation. (bvsalud.org)

There exist neural substrates that control bilateral limb coordination, particularly in the lumbar spinal circuits controlling the hindlimbs of quadruped mammals. (wikipedia.org)

The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. (bokkilden.no)
The main types of neural network architectures and their features are considered. (nure.ua)

The algorithm was evaluated for reliability and accuracy in three ways: (1) computer-simulated current-spread and neural-health scenarios, (2) comparisons to psychophysical correlates of neural health and electrode-modiolus distances in human CI users, and (3) detection of simulated neural 'dead' regions (using forward masking) in human CI users. (springer.com)
This facilitates pre-empting behavioural errors due to lapses in attention and provides new insight into the neural correlates of vigilance decrements. (elifesciences.org)

In the Forward-Masking method, the responses to several combinations of probe and masker pulses are recorded and a subtraction paradigm is used to extract the neural response to the probe pulse (Fig. 1 ). (springer.com)
Across imaging modalities, large pools of potential neural features (e.g., responses from particular voxels, electrodes, and temporal windows) have to be related to typically limited sets of stimuli and samples. (frontiersin.org)
Magnetoencephalography (MEG), electroencephalography (EEG), and electrocorticography (ECoG) involve only several hundred channels at most, but when combined with high sampling rates and rapidly varying neural responses, the resulting dimensionality is often similar to fMRI. (frontiersin.org)

In the zebrafish Danio rerio, neural crest-derived pigment cells generate different pigment patterns during different phases of the life cycle. (bath.ac.uk)

ABSTRACT Models based on an artificial neural network (the multilayer perceptron) and binary logistic regression were compared in their ability to differentiate between disease-free subjects and those with impaired glucose tolerance or diabetes mellitus diagnosed by fasting plasma glucose. (who.int)
There was no performance difference between models based on logistic regression and an artificial neural network for differentiating impaired glucose tolerance/diabetes patients from disease-free patients. (who.int)

Retrieving information from the neural blackboard requires a sequence of activations that is controlled by a central pattern generator. (utwente.nl)
We implement a central pattern generator that controls the sequence of activation. (utwente.nl)
A central pattern generator is developed to meet the specifications required to successfully control the sequence of actions and activations needed to retrieve information from the neural blackboard in response to a question. (utwente.nl)
The model is an existence proof for a biologically plausible implementation of a neural blackboard central pattern generator. (utwente.nl)
The role of the central pattern generator in this neural architecture of sentence processing illustrates the potential relation between controlling movement processing and cognitive processing. (utwente.nl)
This MG regulatory network provides a foundation for elucidating the genetic and cellular basis of a model chordate central pattern generator. (biologists.com)

He started working on the development of the neural tube in the lab of Tom Jessel as a postdoctoral fellow, establishing that there was graded sonic hedgehog signaling in the ventral neural tube. (crick.ac.uk)

We hypothesized that hypoxia involves a transition from neuronal mechanisms of normal breathing (eupnea) to a rudimentary pattern of inspiratory movements (gasping). (nature.com)
A better understanding of neural synchronization mechanisms can thus help control or even treat epilepsy. (elsevierpure.com)
Developmental disorders: causes, mechanisms, and patterns. (medlineplus.gov)

Central pattern generators are biological neural networks organized to produce any rhythmic output without requiring a rhythmic input. (wikipedia.org)
We propose that manipulation of the spatial ordering of afferent synaptic connections onto the dendritic arbor is a possible biological strategy for pattern information storage during learning. (mit.edu)
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)

2015 ) uses forward-masked electrically evoked compound action-potentials (ECAPs) to estimate neural activation patterns of CI stimulation. (springer.com)
Here we present an improved version of the PECAP algorithm that imposes biologically realistic constraints on the solution, that, unlike the previous version, produces detailed estimates of neural activation patterns by modelling current spread and neural health along the intracochlear electrode array and is capable of identifying multiple regions of poor neural health. (springer.com)
1990 ) to provide an objective measurement of two key factors affecting neural activation patterns, namely the current spread from each electrode and the pattern of neural health along the cochlea. (springer.com)
Several studies have suggested that ECAPs can be used to estimate aspects of neural activation patterns. (springer.com)

Whereas early larvae exhibit simple stripes of melanocytes and silver iridophores in a background of yellow xanthophores, this pigment pattern is transformed at metamorphosis into that of the adult, comprising a series of dark melanocyte and iridophore stripes, alternating with light stripes of iridophores and xanthophores. (bath.ac.uk)
rose mutants have wild-type early larval pigment patterns, but fail to develop normal numbers of melanocytes and iridophores during pigment pattern metamorphosis and exhibit a disrupted pattern of these cells. (bath.ac.uk)
Furthermore, we demonstrate that D. rerio ednrb1 is expressed both during pigment pattern metamorphosis and during embryogenesis, and cells of melanocyte, iridophore, and xanthophore lineages all express this gene. (bath.ac.uk)
As murine Ednrb is essential for the development of all neural crest derived melanocytes, and D. rerio ednrb1 is required only by a subset of adult melanocytes and iridophores, these analyses also reveal variation among vertebrates in the cellular requirements for Ednrb signaling, and suggest alternative models for the cellular and genetic bases of pigment pattern metamorphosis in D. rerio. (bath.ac.uk)

Using algorithms , they can recognize hidden patterns and correlations in raw data, cluster and classify it, and - over time - continuously learn and improve. (sas.com)
The curse of dimensionality is severe in neuroimaging data, and therefore prediction algorithms trained on neural data must take this into account to avoid overfitting. (frontiersin.org)
Neural network connected to the output of the Tile Processor (TP) reduced the disparity error twice from the previously used heuristic algorithms. (mail-archive.com)

In the current study, we employed multivariate pattern analysis (MVPA) of electroencephalography to examine the relevance of spontaneously engaged visual processing during encoding for later retrieval. (lu.se)
Schürmann gives you a good view on the use of multivariate statistics and neural net. (firebaseapp.com)

Although several genes have been identified in D. rerio that contribute to the development of both early larval and adult pigment patterns, comparatively little is known about genes that are essential for pattern formation during just one or the other life cycle phase. (bath.ac.uk)
We show that rose corresponds to endothelin receptor hi (ednrb1), an orthologue of amniote Ednrb genes that have long been studied for their roles in neural crest and pigment cell development. (bath.ac.uk)
Ocular and neural genes jointly regulate the visuospatial working memory in ADHD children. (cdc.gov)

Its prediction accuracy was compared to that of a statistical regression model, and to those of two neural networks. (researchgate.net)

The central pattern generators responsible for locomotion in vertebrates reside as half-center modules in the cervical and lumbar region of the spinal cord. (wikipedia.org)
Spinal dysraphism, or neural tube defect (NTD), is a broad term encompassing a heterogeneous group of congenital spinal anomalies that result from defective closure of the neural tube early in fetal life and anomalous development of the caudal cell mass. (medscape.com)

This strategy provides a useful tool for visualization and identification of neural progeny derived from human pluripotent stem cells. (lu.se)

Group movement pattern analysis is to analyze the movement state of the group and extract its behavior pattern through the information of the position of each member in the group changing over time, so as to comprehensively evaluate the group behavior pattern and action effect. (hindawi.com)
A reinstatement of the category-specific neural patterns established during encoding was observed during retrieval, and again the relationship with behavior varied with retrieval demands. (lu.se)

Feedforward neural networks , in which each perceptron in one layer is connected to every perceptron from the next layer. (sas.com)

This similarity of neural activity patterns across the two input types, for categories that co-activate local brain regions, provides strong evidence of a common semantic code for pictures and words in the brain. (nih.gov)
The neural architecture for sentence processing is a model of a neural 'blackboard' capable of temporarily storing both semantic and syntactic information. (utwente.nl)
Once the neural-semantic mapping is learned, novel stimuli can be characterized inductively using the semantic distance. (frontiersin.org)

After training, we fed shape patterns of UA into the neural network to classify them into RA, PsA, or HC. (frontiersin.org)

In the adult mammalian subventricular zone (SVZ), GFAP-positive neural stem cells (NSCs) generate neuroblasts that migrate tangentially along the rostral migratory stream (RMS) toward the olfactory bulb (OB). (jneurosci.org)

Coupling SWMM model with BP neural network for risk prediction. (iwaponline.com)

Rossi F, Delannay N, Conna-Guez B, Verleysen M (2005) Representation of functional data in neural networks. (crossref.org)
We designed a multiple-object monitoring (MOM) paradigm to examine how the neural representation of information varied with target frequency and time performing the task. (elifesciences.org)

Women with a history of delivering a baby with a neural tube defect may need a higher dose of folic acid. (medlineplus.gov)
If you have had a baby with a neural tube defect, you should take 400 µg of folic acid every day, even when you are not planning to become pregnant. (medlineplus.gov)

Narendra KS, Parthasarathy K (1990) Identification and control of dynamical systems using neural networks. (crossref.org)
Therefore, the identification of defect patterns in WBMs aids in understanding the root causes of process failure. (kaist.ac.kr)

Prior work using this method has found support for a common code, but has two limitations: they have either only examined disparate categories (e.g. animals vs. tools) that are known to activate different brain regions, raising the possibility that the pattern separation and inferred similarity reflects only large scale differences between the categories or they have been limited to individual object representations. (nih.gov)

The process of group motion pattern analysis mainly includes the steps of data preprocessing, constructing time series, using interpolation algorithm to calculate the corresponding member positions of the time series, and calculating various description parameters for data analysis. (hindawi.com)
Since each member node records and reports its position information at its own rhythm, the original data set generally does not contain the position data of all nodes at a certain time during group motion pattern analysis. (hindawi.com)
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)
With appropriate preparation of the data and the choice of a suitable model they can identify structures in volumes that correlate with a certain defined patterns resembling a defined condition or disease. (frontiersin.org)
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)
We developed new analyses that can predict behavioural errors from the neural data more than a second before they occurred. (elifesciences.org)
This is especially true when test patterns and training patterns are obtained from two different sources, as in the case from measured and simulated data. (singaporetech.edu.sg)
In this paper, we propose memory-augmented convolutional neural networks with triplet loss for classifying defect patterns in highly imbalanced WBM data. (kaist.ac.kr)
Raw data, different time-frequency methods, and multiclass common spatial patterns are used for statistical feature extraction. (lu.se)

Thus, this paper established an urban waterlogging risk predictive model based on the coupling of the BP neural network and SWMM model, and set five input patterns, finally selected the accumulative precipitation process and precipitation characteristics as input to predict the regional waterlogging risks under different urban rainstorm scenarios. (iwaponline.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)
We provide detailed protocols for lentiviral transduction, neural differentiation, and subsequent analysis of human embryonic stem cells. (lu.se)

A moderate but significant negative correlation between focused thresholds and the algorithm's neural-health estimates was found, consistent with previous literature. (springer.com)
In this approach, neural features are ranked based on how stable their activation profiles are across repetitions of the same class of stimuli, where stability is measured via correlation. (frontiersin.org)
The TP corrects optical aberrations of the high resolution stereo images, rectifies images, and provides 2D correlation outputs that are space-invariant and so can be efficiently processed with the neural network. (mail-archive.com)

Each CPG generates a basic motor output pattern that is responsible for the rhythmic contractions of flexor-extensor muscles that correspond to the forelimbs and hindlimbs. (wikipedia.org)
5, 6, 7 Interestingly, long-lasting repetitive stimulation of the SLN can elicit a pattern of rhythmic motor activities of swallowing. (nature.com)

However, multi-voxel pattern analysis can be used to assess whether, e.g., pictures and words evoke a similar pattern of activity, such that the patterns that separate categories in one modality transfer to the other. (nih.gov)

Switching from classical machine learning methods to neural networks is motivated by the way, in which neural network operate ( 10 ). (frontiersin.org)
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. (springer.com)

In this framework, we verify that the decrease in the influence of inhibition can generate synchronization originating from a pattern of desynchronized spikes. (elsevierpure.com)

There was subtle evidence of this also in the neural decoding using Magnetoencephalography: for one time-window (of 80ms) coding of critical information declined more during monitoring versus active conditions. (elifesciences.org)

See how to use JMP and JMP Pro to develop neural network models to help you understand underlying processes and hidden linear and non-linear relationships for seemingly complex problems. (jmp.com)
Neural networks are also ideally suited to help people solve complex problems in real-life situations. (sas.com)

Across imaging modalities, there are often very large sets of potential neural features or dimensions, and they are often recorded across a relatively limited set of stimuli and samples. (frontiersin.org)

Recognition17

Classification8

Convolutional Neural Network2

Conference on Neural Networks1

Radial basis fu1

Sequential6

Defects5

Recurrent1

Neurons5

Vertebrate2

Behavioral2

Substrates1

Network architectures2

Correlates2

Responses3

Danio1

Artificial neural2

Central pattern g6

Ventral1

Mechanisms3

Biological3

Activation patterns4

Pigment pattern4

Algorithms3

Multivariate2

Genes3

Regression1

Spinal2

Visualization1

Behavior2

Perceptron1

Semantic3

Classify1

Adult1

Prediction1

Representation2

Tube2

Identification2

Representations1

Data9

Model1

Stem2

Correlation3

Rhythmic2

Activity1

Methods2

Generate1

Evidence1

Complex2

Imaging1