AIMC Topic: Hippocampus
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MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder.
Briefings in bioinformatics
Mar 4, 2025
Spatial transcriptomics (ST) technology provides gene expression profiles with spatial context, offering critical insights into cellular interactions and tissue architecture. A core task in ST is spatial domain identification, which involves detectin...
Replay as a Basis for Backpropagation Through Time in the Brain.
Neural computation
Feb 14, 2025
How episodic memories are formed in the brain is a continuing puzzle for the neuroscience community. The brain areas that are critical for episodic learning (e.g., the hippocampus) are characterized by recurrent connectivity and generate frequent off...
A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI.
Mathematical biosciences and engineering : MBE
Dec 11, 2024
The hippocampus is a small, yet intricate seahorse-shaped tiny structure located deep within the brain's medial temporal lobe. It is a crucial component of the limbic system, which is responsible for regulating emotions, memory, and spatial navigatio...
3D Multi-feature fusion convolutional network for Alzheimer's disease diagnosis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
The cognitive decline caused by Alzheimer's disease (AD) is closely related to the structural changes in the hippocampus captured by structural magnetic resonance imaging (sMRI). However, current deep model research on the morphological analysis of h...
A Computational Framework for Memory Engrams.
Advances in neurobiology
Jan 1, 2024
Memory engrams in mice brains are potentially related to groups of concept cells in human brains. A single concept cell in human hippocampus responds, for example, not only to different images of the same object or person but also to its name written...
Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD), a major dementia cause, lacks effective treatment. MRI-based hippocampal volume measurement using artificial intelligence offers new insights into early diagnosis and intervention in AD progression.
Whole-brain radiotherapy associated with structural changes resembling aging as determined by anatomic surface-based deep learning.
Neuro-oncology
Jul 6, 2023
BACKGROUND: Brain metastases are the most common intracranial tumors in adults and are associated with significant morbidity and mortality. Whole-brain radiotherapy (WBRT) is used frequently in patients for palliation, but can result in neurocognitiv...
[A spatial localization model of mobile robot based on entorhinal-hippocampal cognitive mechanism in rat brain].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Apr 25, 2022
Physiological studies reveal that rats rely on multiple spatial cells for spatial navigation and memory. In this paper, we investigated the firing mechanism of spatial cells within the entorhinal-hippocampal structure of the rat brain and proposed a ...
Differential Role for Hippocampal Subfields in Alzheimer's Disease Progression Revealed with Deep Learning.
Cerebral cortex (New York, N.Y. : 1991)
Jan 22, 2022
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer's disease. However, MCI is associated with substantially variable progression rates, which are not well understood. Attempts to identify the mechanisms that underlie MCI p...
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