AIMC Topic: Neurons

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State-of-the-art methods in healthcare text classification system: AI paradigm.

Frontiers in bioscience (Landmark edition) Jan 1, 2020
Machine learning has shown its importance in delivering healthcare solutions and revolutionizing the future of filtering huge amountd of textual content. The machine intelligence can adapt semantic relations among text to infer finer contextual infor...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Axons Synapses Nerve Net Delivery of Health Care Models, Neurological Neurons
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Development of an Anisotropically Organized Brain dECM Hydrogel-Based 3D Neuronal Culture Platform for Recapitulating the Brain Microenvironment in Vivo.

ACS biomaterials science & engineering Dec 31, 2019
To mimic the brain tissue microenvironment in vitro, the biological and structural properties of the utilized system must be similar to those of the native brain in the microenvironment in vivo. To promote the bioactive (biological) properties of mat...
Collagen Swine Brain Neurons Animals Extracellular Matrix Hydrogels
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Synchronization of Hindmarsh Rose Neurons.

Neural networks : the official journal of the International Neural Network Society Dec 18, 2019
Modeling and implementation of biological neurons are key to the fundamental understanding of neural network architectures in the brain and its cognitive behavior. Synchronization of neuronal models play a significant role in neural signal processing...
Signal Processing, Computer-Assisted Neurons Brain Cluster Analysis Models, Neurological Humans Neural Networks, Computer
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A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models.

Journal of neurophysiology Dec 18, 2019
We present a mean-field formalism able to predict the collective dynamics of large networks of conductance-based interacting spiking neurons. We apply this formalism to several neuronal models, from the simplest Adaptive Exponential Integrate-and-Fir...
Humans Neurons Nerve Net Electrophysiological Phenomena Neural Networks, Computer Animals Models, Neurological
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From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior.

Neural computation Dec 13, 2019
The study of neuronal interactions is at the center of several big collaborative neuroscience projects (including the Human Connectome Project, the Blue Brain Project, and the Brainome) that attempt to obtain a detailed map of the entire brain. Under...
Connectome Humans Nerve Net Neural Networks, Computer Brain Models, Neurological Neurons
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Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning.

Neural networks : the official journal of the International Neural Network Society Dec 6, 2019
Stream data processing has lately gained momentum with the arrival of new Big Data scenarios and applications dealing with continuously produced information flows. Unfortunately, traditional machine learning algorithms are not prepared to tackle the ...
Normal Distribution Models, Neurological Humans Neurons Neural Networks, Computer Memory Algorithms
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Reaction-diffusion memory unit: Modeling of sensitization, habituation and dishabituation in the brain.

PloS one Dec 5, 2019
We propose a novel approach to investigate the effects of sensitization, habituation and dishabituation in the brain using the analysis of the reaction-diffusion memory unit (RDMU). This unit consists of Morris-Lecar-type sensory, motor, interneuron ...
Interneurons Neural Networks, Computer Neurons Sensory Receptor Cells Habituation, Psychophysiologic Synapses Brain Motor Neurons Learning Memory Animals
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The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 21, 2019
Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning properties, individual and ...
Neural Networks, Computer Female Animals Male Behavior, Animal Visual Perception Macaca mulatta Macaca fascicularis Neurons Temporal Lobe Prefrontal Cortex Motion Perception Attention Models, Neurological Discriminant Analysis Psychomotor Performance
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Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware.

Medical hypotheses Nov 18, 2019
Automatic decision support systems have gained importance in health sector in recent years. In parallel with recent developments in the fields of artificial intelligence and image processing, embedded systems are also used in decision support systems...
Glioblastoma Algorithms Neurons Brain Brain Neoplasms Diagnosis, Computer-Assisted Humans Magnetic Resonance Imaging Image Processing, Computer-Assisted Software Fuzzy Logic Support Vector Machine Cluster Analysis
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Reducing variability in motor cortex activity at a resting state by extracellular GABA for reliable perceptual decision-making.

Journal of computational neuroscience Nov 13, 2019
Interaction between sensory and motor cortices is crucial for perceptual decision-making, in which intracortical inhibition might have an important role. We simulated a neural network model consisting of a sensory network (N) and a motor network (N) ...
Synaptic Transmission Motor Cortex Neural Inhibition Pyramidal Cells Decision Making Neurons gamma-Aminobutyric Acid Humans Neural Networks, Computer Models, Neurological
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