AIMC Topic: Neural Networks, Computer

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Phasic dopamine release identification using convolutional neural network.

Computers in biology and medicine Sep 25, 2019
Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as well as pathologies such as schizophrenia and Parkinson's disease. Phasic release of dopamine can be measured in vivo with fast-scan cyclic voltammet...
Rats Rats, Sprague-Dawley Electrochemical Techniques Dopamine Electrodes, Implanted Animals Male Mice Neural Networks, Computer Databases, Factual Humans Brain
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Seizure Prediction in Scalp EEG Using 3D Convolutional Neural Networks With an Image-Based Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 25, 2019
Epileptic seizures occur as a result of a process that develops over time and space in epileptic networks. In this study, we aim at developing a generalizable method for patient-specific seizure prediction by evaluating the spatio-temporal correlatio...
Adult Sensitivity and Specificity Male Humans Neural Networks, Computer Algorithms Predictive Value of Tests Color Electroencephalography Child Infant Image Processing, Computer-Assisted Adolescent Poisson Distribution Child, Preschool Seizures False Positive Reactions Scalp
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Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.

JACC. Cardiovascular interventions Sep 25, 2019
OBJECTIVES: This study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.
Aorta Cardiac Catheterization Artifacts Observer Variation Arterial Pressure Coronary Angiography Coronary Artery Disease Heart Rate Humans Risk Factors Aged Male Middle Aged Europe Predictive Value of Tests Databases, Factual Female Reproducibility of Results Neural Networks, Computer Machine Learning Patient Safety
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Decoding and encoding (de)mixed population responses.

Current opinion in neurobiology Sep 25, 2019
A central tenet of neuroscience is that the brain works through large populations of interacting neurons. With recent advances in recording techniques, the inner working of these populations has come into full view. Analyzing the resulting large-scal...
Neurons Neural Networks, Computer Brain Animals Models, Neurological
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Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network.

Sensors (Basel, Switzerland) Sep 25, 2019
Plant leaf diseases are closely related to people's daily life. Due to the wide variety of diseases, it is not only time-consuming and labor-intensive to identify and classify diseases by artificial eyes, but also easy to be misidentified with having...
Plant Diseases Neural Networks, Computer Image Processing, Computer-Assisted Plant Leaves
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Massive computational acceleration by using neural networks to emulate mechanism-based biological models.

Nature communications Sep 25, 2019
For many biological applications, exploration of the massive parametric space of a mechanism-based model can impose a prohibitive computational demand. To overcome this limitation, we present a framework to improve computational efficiency by orders ...
Neural Networks, Computer Algorithms Models, Biological Stochastic Processes Entropy Computer Simulation Escherichia coli Kinetics
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Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.

Computer methods and programs in biomedicine Sep 24, 2019
BACKGROUND AND OBJECTIVE: With the rapid development of medical imaging and intelligent diagnosis, artificial intelligence methods have become a research hotspot of radiography processing technology in recent years. The low definition of knee magneti...
Algorithms Computer Simulation Osteoarthritis, Knee Deep Learning Knee Image Processing, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging Artificial Intelligence Cartilage
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Synchronization in an array of coupled neural networks with delayed impulses: Average impulsive delay method.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2019
In the paper, synchronization of coupled neural networks with delayed impulses is investigated. In order to overcome the difficulty that time delays can be flexible and even larger than impulsive interval, we propose a new method of average impulsive...
Neural Networks, Computer Time Factors Pattern Recognition, Automated
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Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2019
Neural networks have enabled great advances in recent times due mainly to improved parallel computing capabilities in accordance to Moore's Law, which allowed reducing the time needed for the parameter learning of complex, multi-layered neural archit...
Brain Action Potentials Humans Neurons Supervised Machine Learning Neural Networks, Computer Biomimetics Algorithms Recognition, Psychology
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Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature.

IEEE/ACM transactions on computational biology and bioinformatics Sep 24, 2019
RNA-Protein binding is involved in many different biological processes. With the progress of technology, more and more data are available for research. Based on these data, many prediction methods have been proposed to predict RNA-Protein binding pre...
Computational Biology RNA-Binding Proteins RNA Neural Networks, Computer Algorithms
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