AIMC Topic: Nerve Net

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Infection curves on small-world networks are linear only in the vicinity of the critical point.

Proceedings of the National Academy of Sciences of the United States of America Mar 9, 2021
Neural Networks, Computer Nerve Net
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Transition to synchronization in heterogeneous inhibitory neural networks with structured synapses.

Chaos (Woodbury, N.Y.) Mar 1, 2021
Inhibitory neurons form an extensive network involved in the development of different rhythms in the cerebral cortex. A transition from an incoherent state, where all inhibitory neurons fire unrelated to each other, to a synchronized or locked state,...
Neural Networks, Computer Models, Neurological Nerve Net Action Potentials Neurons Synapses
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Unsupervised neural network models of the ventral visual stream.

Proceedings of the National Academy of Sciences of the United States of America Jan 19, 2021
Deep neural networks currently provide the best quantitative models of the response patterns of neurons throughout the primate ventral visual stream. However, such networks have remained implausible as a model of the development of the ventral stream...
Macaca Nerve Net Neural Networks, Computer Pattern Recognition, Visual Humans Animals Visual Cortex Unsupervised Machine Learning Child Neurons Datasets as Topic
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Sex Differences of Brain Functional Topography Revealed in Normal Aging and Alzheimer's Disease Cohort.

Journal of Alzheimer's disease : JAD Jan 1, 2021
We applied graph theory analysis on resting-state functional magnetic resonance imaging data to evaluate sex differences of brain functional topography in normal controls (NCs), early mild cognitive impairment (eMCI), and AD patients. These metrics w...
Neural Networks, Computer Brain Female Humans Cohort Studies Magnetic Resonance Imaging Sex Characteristics Aged Male Cognitive Dysfunction Nerve Net Healthy Aging Alzheimer Disease Image Interpretation, Computer-Assisted
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A new method to predict anomaly in brain network based on graph deep learning.

Reviews in the neurosciences Aug 27, 2020
Functional magnetic resonance imaging a neuroimaging technique which is used in brain disorders and dysfunction studies, has been improved in recent years by mapping the topology of the brain connections, named connectopic mapping. Based on the fact ...
Nerve Net Humans Brain Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Neural Pathways
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Computation Through Neural Population Dynamics.

Annual review of neuroscience Jul 8, 2020
Significant experimental, computational, and theoretical work has identified rich structure within the coordinated activity of interconnected neural populations. An emerging challenge now is to uncover the nature of the associated computations, how t...
Population Dynamics Neurons Nerve Net Deep Learning Computational Biology Humans Brain Animals
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Invertible generalized synchronization: A putative mechanism for implicit learning in neural systems.

Chaos (Woodbury, N.Y.) Jun 1, 2020
Regardless of the marked differences between biological and artificial neural systems, one fundamental similarity is that they are essentially dynamical systems that can learn to imitate other dynamical systems whose governing equations are unknown. ...
Models, Neurological Humans Synapses Neural Networks, Computer Nerve Net Learning
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Identifying Schizo-Obsessive Comorbidity by Tract-Based Spatial Statistics and Probabilistic Tractography.

Schizophrenia bulletin Feb 26, 2020
A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obsessive-compulsive disorder (OCD). Little is known about the neurobiological basis of schizo-obsessive comorbidity (SOC). We aimed to investigate wheth...
Support Vector Machine Schizophrenia White Matter Humans Comorbidity Female Nerve Net Young Adult Adolescent Diffusion Tensor Imaging Adult Male Obsessive-Compulsive Disorder
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Functional, Anatomical, and Morphological Networks Highlight the Role of Basal Ganglia-Thalamus-Cortex Circuits in Schizophrenia.

Schizophrenia bulletin Feb 26, 2020
Evidence from electrophysiological, functional, and structural research suggests that abnormal brain connectivity plays an important role in the pathophysiology of schizophrenia. However, most previous studies have focused on single modalities only, ...
Schizophrenia Neuroimaging Cerebral Cortex Connectome Nerve Net Humans Thalamus Diffusion Tensor Imaging Machine Learning Male Female Basal Ganglia Biomarkers Middle Aged Adult Magnetic Resonance Imaging
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Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks.

Neuron Feb 5, 2020
Evolution is a blind fitting process by which organisms become adapted to their environment. Does the brain use similar brute-force fitting processes to learn how to perceive and act upon the world? Recent advances in artificial neural networks have ...
Biological Evolution Brain Humans Learning Neural Networks, Computer Nerve Net
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