AIMC Topic: Neurons

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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 ...
Animals Neurons Synapses Neural Networks, Computer Brain Learning Memory Interneurons Motor Neurons Sensory Receptor Cells Habituation, Psychophysiologic
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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 ...
Attention Psychomotor Performance Behavior, Animal Models, Neurological Discriminant Analysis Neurons Temporal Lobe Motion Perception Visual Perception Macaca fascicularis Macaca mulatta Neural Networks, Computer Female Animals Male Prefrontal Cortex
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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...
Neurons Fuzzy Logic Cluster Analysis Glioblastoma Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Humans Software Brain Algorithms Brain Neoplasms Diagnosis, Computer-Assisted
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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 Humans Motor Cortex Neural Networks, Computer Neural Inhibition Decision Making Pyramidal Cells Models, Neurological Neurons gamma-Aminobutyric Acid
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Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning.

Nature methods Nov 4, 2019
We demonstrate that a deep neural network can be trained to virtually refocus a two-dimensional fluorescence image onto user-defined three-dimensional (3D) surfaces within the sample. Using this method, termed Deep-Z, we imaged the neuronal activity ...
Microscopy, Confocal Microscopy, Fluorescence Neurons Caenorhabditis elegans Animals Deep Learning
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Modeling of Brain-Like Concept Coding with Adulthood Neurogenesis in the Dentate Gyrus.

Computational intelligence and neuroscience Nov 3, 2019
Mammalian brains respond to new concepts via a type of neural coding termed "concept coding." During concept coding, the dentate gyrus (DG) plays a vital role in pattern separation and pattern integration of concepts because it is a brain region with...
Action Potentials Neurons Neurogenesis Humans Dentate Gyrus Animals Association Neural Networks, Computer Neuronal Plasticity Computer Simulation Models, Neurological Concept Formation
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Perceptrons from memristors.

Neural networks : the official journal of the International Neural Network Society Nov 2, 2019
Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-volatile memories. However, to the best of our knowledge, no model for ...
Neural Networks, Computer Algorithms Neurons Synapses
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Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching.

Neural networks : the official journal of the International Neural Network Society Nov 2, 2019
This paper presents theoretical results on the multistability of switched neural networks with commonly used sigmoidal activation functions under state-dependent switching. The multistability analysis with such an activation function is difficult bec...
Time Factors Neurons Linear Models Neural Networks, Computer Algorithms Computer Simulation
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Automated label-free detection of injured neuron with deep learning by two-photon microscopy.

Journal of biophotonics Oct 30, 2019
Stroke is a significant cause of morbidity and long-term disability globally. Detection of injured neuron is a prerequisite for defining the degree of focal ischemic brain injury, which can be used to guide further therapy. Here, we demonstrate the c...
Neural Networks, Computer Animals Stroke Deep Learning Neurons Rats Brain Ischemia
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Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks.

Nature communications Oct 30, 2019
The discovery that deep convolutional neural networks (DCNNs) achieve human performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties to such tasks. Here we show that the face-space geometry, revealed through pa...
Electroencephalography Neurons Image Interpretation, Computer-Assisted Humans Cerebral Cortex Adult Facial Recognition Neural Networks, Computer Male Female Middle Aged Young Adult
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