AIMC Topic: Temporal Lobe

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Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting.

Journal of cognitive neuroscience Sep 1, 2021
Deep neural networks (DNNs) trained on object recognition provide the best current models of high-level visual cortex. What remains unclear is how strongly experimental choices, such as network architecture, training, and fitting to brain data, contr...
Humans Neural Networks, Computer Visual Cortex Temporal Lobe Magnetic Resonance Imaging Visual Perception
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How multisensory neurons solve causal inference.

Proceedings of the National Academy of Sciences of the United States of America Aug 10, 2021
Sitting in a static railway carriage can produce illusory self-motion if the train on an adjoining track moves off. While our visual system registers motion, vestibular signals indicate that we are stationary. The brain is faced with a difficult chal...
Cues Motion Perception Photic Stimulation Sensory Receptor Cells Macaca mulatta Temporal Lobe Neural Networks, Computer Animals
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Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder.

Brain imaging and behavior Dec 1, 2019
Endophenotype refers to a measurable and heritable component between genetics and diagnosis, and the same endophenotype is present in both individuals with a diagnosis and their unaffected siblings. Determination of the neural correlates of an endoph...
Male Magnetic Resonance Imaging Female Adult Endophenotypes Siblings Gyrus Cinguli Neural Pathways Humans Machine Learning Autism Spectrum Disorder Brain Temporal Lobe
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Machine learning technique reveals intrinsic characteristics of schizophrenia: an alternative method.

Brain imaging and behavior Oct 1, 2019
Machine learning technique has long been utilized to assist disease diagnosis, increasing clinical physicians' confidence in their decision and expediting the process of diagnosis. In this case, machine learning technique serves as a tool for disting...
Temporal Lobe Brief Psychiatric Rating Scale Neural Pathways Humans Male Female Brain Mapping Magnetic Resonance Imaging Machine Learning Adult Schizophrenia Brain
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Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study.

Journal of psychiatry & neuroscience : JPN Sep 1, 2015
BACKGROUND: Brain imaging is of limited diagnostic use in psychiatry owing to clinical heterogeneity and low sensitivity/specificity of between-group neuroimaging differences. Machine learning (ML) may better translate neuroimaging to the level of in...
White Matter Parietal Lobe Temporal Lobe Bipolar Disorder Gray Matter Risk Factors Machine Learning Cohort Studies Czech Republic Young Adult Female Neuroimaging Prefrontal Cortex Adult Humans Genetic Predisposition to Disease Support Vector Machine Male Adolescent Magnetic Resonance Imaging Canada
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