AIMC Topic: Nerve Net

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Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI.

Computers in biology and medicine Oct 13, 2019
Several studies have already assessed brain network variations in multiple sclerosis (MS) patients and healthy controls (HCs). The underlying neural system's functioning is apparently too complicated, however. Therefore, the neural time series' analy...
Humans Brain Female Adult Brain Mapping Multiple Sclerosis Nerve Net Male Support Vector Machine Magnetic Resonance Imaging Models, Neurological
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A network underlying human higher-order motor control: Insights from machine learning-based lesion-behaviour mapping in apraxia of pantomime.

Cortex; a journal devoted to the study of the nervous system and behavior Oct 4, 2019
Neurological patients with apraxia of pantomime provide us with a unique opportunity to study the neural correlates of higher-order motor function. Previous studies using lesion-behaviour mapping methods led to inconsistent anatomical results, report...
Humans Apraxias Brain Mapping Aged, 80 and over Machine Learning Stroke Functional Laterality Adult Psychomotor Performance Nerve Net Female Male Parietal Lobe Aged Middle Aged Imitative Behavior
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Multivariate classification of schizophrenia and its familial risk based on load-dependent attentional control brain functional connectivity.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Oct 3, 2019
Patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show functional connectivity (FC) alterations during performance of tasks involving attention. As compared with SCZ, these alterations are present in SIB to a lesser exten...
Brain Female Risk Factors Adult Humans Machine Learning Multivariate Analysis Neuropsychological Tests Nerve Net Schizophrenic Psychology Male Magnetic Resonance Imaging Schizophrenia Attention
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Stable memory with unstable synapses.

Nature communications Sep 30, 2019
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...
Neural Networks, Computer Software Algorithms Homeostasis Nerve Net Memory Memory, Long-Term Models, Neurological Computer Simulation Neurons Learning Nonlinear Dynamics Neuronal Plasticity Synapses
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Using intersection information to map stimulus information transfer within neural networks.

Bio Systems Sep 21, 2019
Analytical tools that estimate the directed information flow between simultaneously recorded neural populations, such as directed information or Granger causality, typically focus on measuring how much information is exchanged between such population...
Electric Stimulation Synaptic Transmission Information Theory Action Potentials Neural Networks, Computer Neurons Algorithms Nerve Net Animals Models, Neurological
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Modeling place cells and grid cells in multi-compartment environments: Entorhinal-hippocampal loop as a multisensory integration circuit.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2019
Hippocampal place cells and entorhinal grid cells are thought to form a representation of space by integrating internal and external sensory cues. Experimental data show that different subsets of place cells are controlled by vision, self-motion or a...
Motion Perception Grid Cells Place Cells Animals Rats Hippocampus Nerve Net Visual Perception Neural Networks, Computer Space Perception Entorhinal Cortex
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Generating Point Cloud from Measurements and Shapes Based on Convolutional Neural Network: An Application for Building 3D Human Model.

Computational intelligence and neuroscience Sep 2, 2019
It has been widely known that 3D shape models are comprehensively parameterized using point cloud and meshes. The point cloud particularly is much simpler to handle compared with meshes, and it also contains the shape information of a 3D model. In th...
Deep Learning Imaging, Three-Dimensional Humans Nerve Net Young Adult Adult Male Neural Networks, Computer Middle Aged Female
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A null model of the mouse whole-neocortex micro-connectome.

Nature communications Aug 29, 2019
In connectomics, the study of the network structure of connected neurons, great advances are being made on two different scales: that of macro- and meso-scale connectomics, studying the connectivity between populations of neurons, and that of micro-s...
Connectome Nerve Net Neocortex Neural Networks, Computer Models, Statistical Brain Neurons Animals Models, Animal Mice
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Sensory processing and categorization in cortical and deep neural networks.

NeuroImage Aug 21, 2019
Many recent advances in artificial intelligence (AI) are rooted in visual neuroscience. However, ideas from more complicated paradigms like decision-making are less used. Although automated decision-making systems are ubiquitous (driverless cars, pil...
Female Motion Perception Nerve Net Decision Making Color Perception Psychomotor Performance Macaca mulatta Cerebral Cortex Behavior, Animal Animals Male Deep Learning
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Robust computation with rhythmic spike patterns.

Proceedings of the National Academy of Sciences of the United States of America Aug 20, 2019
Information coding by precise timing of spikes can be faster and more energy efficient than traditional rate coding. However, spike-timing codes are often brittle, which has limited their use in theoretical neuroscience and computing applications. He...
Action Potentials Nerve Net Memory Interneurons Humans Neural Networks, Computer Models, Neurological
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