AIMC Topic: Hippocampus

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Cognitive memory and mapping in a brain-like system for robotic navigation.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2016
Electrophysiological studies in animals may provide a great insight into developing brain-like models of spatial cognition for robots. These studies suggest that the spatial ability of animals requires proper functioning of the hippocampus and the en...
Brain Animals Cognition Memory Maze Learning Entorhinal Cortex Spatial Navigation Neuronal Plasticity Brain Mapping Robotics Hippocampus
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Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry.

NeuroImage. Clinical Dec 7, 2016
This paper presents a brain T1-weighted structural magnetic resonance imaging (MRI) biomarker that combines several individual MRI biomarkers (cortical thickness measurements, volumetric measurements, hippocampal shape, and hippocampal texture). The ...
Cognitive Dysfunction Female Humans Hippocampus Aged Machine Learning Magnetic Resonance Imaging Cerebral Cortex Aged, 80 and over Diagnosis, Differential Biomarkers Male Alzheimer Disease
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Why do some neurons in cortex respond to information in a selective manner? Insights from artificial neural networks.

Cognition Dec 24, 2015
Why do some neurons in hippocampus and cortex respond to information in a highly selective manner? It has been hypothesized that neurons in hippocampus encode information in a highly selective manner in order to support fast learning without catastro...
Humans Neural Networks, Computer Cerebral Cortex Computer Simulation Learning Neurons Hippocampus
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Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.

NeuroImage Dec 12, 2015
Classification models are becoming useful tools for finding patterns in neuroimaging data sets that are not observable to the naked eye. Many of these models are applied to discriminating clinical groups such as schizophrenic patients from healthy co...
Prisoners Antisocial Personality Disorder Amygdala Conduct Disorder Adult Juvenile Delinquency Humans Male Machine Learning Adolescent Young Adult Support Vector Machine Magnetic Resonance Imaging Hippocampus Cerebral Cortex Criminals
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Goal-oriented robot navigation learning using a multi-scale space representation.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2015
There has been extensive research in recent years on the multi-scale nature of hippocampal place cells and entorhinal grid cells encoding which led to many speculations on their role in spatial cognition. In this paper we focus on the multi-scale nat...
Humans Learning Cognition Reinforcement, Psychology Spatial Navigation Models, Neurological Robotics Hippocampus Goals
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Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus.

eLife Sep 24, 2015
Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron proper...
Animals Information Storage and Retrieval Neurons Rodentia Knowledge Bases Hippocampus
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Machine learning classification of mesial temporal sclerosis in epilepsy patients.

Epilepsy research Sep 9, 2015
BACKGROUND AND PURPOSE: Novel approaches applying machine-learning methods to neuroimaging data seek to develop individualized measures that will aid in the diagnosis and treatment of brain-based disorders such as temporal lobe epilepsy (TLE). Using ...
Humans Machine Learning Algorithms Female Young Adult Adult Male Middle Aged Hippocampus Epilepsy, Temporal Lobe Image Processing, Computer-Assisted Temporal Lobe Support Vector Machine Sclerosis Magnetic Resonance Imaging Organ Size
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Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Sep 4, 2015
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).
Occipital Lobe Frontal Lobe Temporal Lobe Globus Pallidus Nucleus Accumbens Case-Control Studies Imaging, Three-Dimensional Support Vector Machine Hippocampus Connectome Gyrus Cinguli Epilepsy, Temporal Lobe Diffusion Tensor Imaging Young Adult Adult Male Middle Aged Brain Humans Retrospective Studies Machine Learning Female
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Assessing hippocampal development and language in early childhood: Evidence from a new application of the Automatic Segmentation Adapter Tool.

Human brain mapping Aug 17, 2015
Volumetric assessments of the hippocampus and other brain structures during childhood provide useful indices of brain development and correlates of cognitive functioning in typically and atypically developing children. Automated methods such as FreeS...
Magnetic Resonance Imaging Sex Factors Hippocampus Language Development Female Male Child, Preschool Image Processing, Computer-Assisted Humans Machine Learning Algorithms Autism Spectrum Disorder
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Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease.

CNS neuroscience & therapeutics Jun 30, 2015
AIMS: Automated hippocampal segmentation is an important issue in many neuroscience studies.
Middle Aged Adolescent Child Image Processing, Computer-Assisted Female Humans Magnetic Resonance Imaging Aged Alzheimer Disease Machine Learning Aged, 80 and over Hippocampus Male Atlases as Topic
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