AIMC Topic: Hippocampus

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Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer's disease using a high-performance interpretable deep learning network.

European radiology May 12, 2023
OBJECTIVES: To develop and validate an automatic classification algorithm for diagnosing Alzheimer's disease (AD) or mild cognitive impairment (MCI).
Humans Magnetic Resonance Imaging Alzheimer Disease Hippocampus Algorithms Deep Learning
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Stereology neuron counts correlate with deep learning estimates in the human hippocampal subregions.

Scientific reports Apr 11, 2023
Hippocampal subregions differ in specialization and vulnerability to cell death. Neuron death and hippocampal atrophy have been a marker for the progression of Alzheimer's disease. Relatively few studies have examined neuronal loss in the human brain...
Neurons Hippocampus Deep Learning Image Processing, Computer-Assisted Humans Brain
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An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry.

Neural networks : the official journal of the International Neural Network Society Mar 30, 2023
Learning to navigate a complex environment is not a difficult task for a mammal. For example, finding the correct way to exit a maze following a sequence of cues, does not need a long training session. Just a single or a few runs through a new enviro...
Cues Hippocampus Spatial Navigation Maze Learning Animals Mammals Artificial Intelligence Brain
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Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples.

EBioMedicine Mar 25, 2023
BACKGROUND: Dementia's diagnostic protocols are mostly based on standardised neuroimaging data collected in the Global North from homogeneous samples. In other non-stereotypical samples (participants with diverse admixture, genetics, demographics, MR...
Humans Alzheimer Disease Male Brain Frontotemporal Dementia Neuroimaging Female Deep Learning Hippocampus Magnetic Resonance Imaging
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Neural learning rules for generating flexible predictions and computing the successor representation.

eLife Mar 16, 2023
The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been formalized as a predictive map called the successor representation (SR). T...
Neural Networks, Computer Hippocampus Reinforcement, Psychology Algorithms Learning
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HGM-cNet: Integrating hippocampal gray matter probability map into a cascaded deep learning framework improves hippocampus segmentation.

European journal of radiology Mar 15, 2023
A robust cascaded deep learning framework with integrated hippocampal gray matter (HGM) probability map was developed to improve the hippocampus segmentation (called HGM-cNet) due to its significance in various neuropsychiatric disorders such as Alzh...
Gray Matter Hippocampus Brain Diseases Male Deep Learning Magnetic Resonance Imaging Probability Image Processing, Computer-Assisted Aged Aged, 80 and over Neural Networks, Computer Female Humans
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A comprehensive characterization of hippocampal feature ensemble serves as individualized brain signature for Alzheimer's disease: deep learning analysis in 3238 participants worldwide.

European radiology Mar 9, 2023
OBJECTIVES: Hippocampal characterization is one of the most significant hallmarks of Alzheimer's disease (AD); rather, the single-level feature is insufficient. A comprehensive hippocampal characterization is pivotal for developing a well-performing ...
Humans Alzheimer Disease Hippocampus Neuroimaging Deep Learning Magnetic Resonance Imaging Biomarkers Brain
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Deep learning for the diagnosis of mesial temporal lobe epilepsy.

PloS one Feb 23, 2023
OBJECTIVE: This study aimed to enable the automatic detection of the hippocampus and diagnose mesial temporal lobe epilepsy (MTLE) with the hippocampus as the epileptogenic area using artificial intelligence (AI). We compared the diagnostic accuracie...
Humans Magnetic Resonance Imaging Artificial Intelligence Hippocampus Deep Learning Epilepsy, Temporal Lobe
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Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.

PLoS computational biology Dec 22, 2022
Bottom-up models of functionally relevant patterns of neural activity provide an explicit link between neuronal dynamics and computation. A prime example of functional activity patterns are propagating bursts of place-cell activities called hippocamp...
Hippocampus Action Potentials Neural Networks, Computer Neurons Models, Neurological
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A robotic model of hippocampal reverse replay for reinforcement learning.

Bioinspiration & biomimetics Dec 2, 2022
Hippocampal reverse replay, a phenomenon in which recently active hippocampal cells reactivate in the reverse order, is thought to contribute to learning, particularly reinforcement learning (RL), in animals. Here, we present a novel computational mo...
Spatial Navigation Hippocampus Reinforcement, Psychology Animals Robotic Surgical Procedures Robotics Mammals
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