AIMC Topic: Hippocampus

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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...
Humans Neural Networks, Computer Female Gray Matter Image Processing, Computer-Assisted Magnetic Resonance Imaging Hippocampus Brain Diseases Probability Male Deep Learning Aged Aged, 80 and over
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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 ...
Alzheimer Disease Hippocampus Neuroimaging Humans Biomarkers Deep Learning Brain Magnetic Resonance Imaging
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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...
Deep Learning Magnetic Resonance Imaging Humans Artificial Intelligence Hippocampus 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 Neural Networks, Computer Action Potentials 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...
Mammals Hippocampus Reinforcement, Psychology Spatial Navigation Robotics Robotic Surgical Procedures Animals
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Interpretable deep learning-based hippocampal sclerosis classification.

Epilepsia open Oct 5, 2022
OBJECTIVE: To evaluate the performance of a deep learning model for hippocampal sclerosis classification on the clinical dataset and suggest plausible visual interpretation for the model prediction.
Deep Learning Sclerosis Neuroimaging Magnetic Resonance Imaging Atrophy Neurodegenerative Diseases Humans Hippocampus
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Deep Learning-Based Segmentation of Morphologically Distinct Rat Hippocampal Reactive Astrocytes After Trimethyltin Exposure.

Toxicologic pathology Sep 20, 2022
As regulators of homeostasis, astrocytes undergo morphological changes after injury to limit the insult in central nervous system (CNS). Trimethyltin (TMT) is a known neurotoxicant that induces reactive astrogliosis in rat CNS. To evaluate the degree...
Hippocampus Animals Trimethyltin Compounds Astrocytes Gliosis Deep Learning Glial Fibrillary Acidic Protein Rats
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Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus.

eLife Sep 5, 2022
Local field potential (LFP) deflections and oscillations define hippocampal sharp-wave ripples (SWRs), one of the most synchronous events of the brain. SWRs reflect firing and synaptic current sequences emerging from cognitively relevant neuronal ens...
Hippocampus Rodentia Deep Learning Neurons Animals
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Multimodal neural networks better explain multivoxel patterns in the hippocampus.

Neural networks : the official journal of the International Neural Network Society Aug 3, 2022
The human hippocampus possesses "concept cells", neurons that fire when presented with stimuli belonging to a specific concept, regardless of the modality. Recently, similar concept cells were discovered in a multimodal network called CLIP (Radford e...
Hippocampus Neural Networks, Computer Magnetic Resonance Imaging Neurons Humans
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Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

IEEE transactions on neural networks and learning systems Jul 6, 2022
In contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something import...
Hippocampus Action Potentials Neurons Neural Networks, Computer Models, Neurological
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