AIMC Topic: Hippocampus
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Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.
International journal of computer assisted radiology and surgery
Dec 27, 2019
PURPOSE: Knowing the course of Alzheimer's disease is very important to prevent the deterioration of the disease, and accurate segmentation of sensitive lesions can provide a visual basis for the diagnosis results. This study proposes an improved end...
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation.
Journal of healthcare engineering
Dec 26, 2019
Medical image segmentation is one of the hot issues in the related area of image processing. Precise segmentation for medical images is a vital guarantee for follow-up treatment. At present, however, low gray contrast and blurred tissue boundaries ar...
A computational model of systems memory consolidation and reconsolidation.
Hippocampus
Dec 24, 2019
In the mammalian brain, newly acquired memories depend on the hippocampus (HPC) for maintenance and recall, but over time, the neocortex takes over these functions, rendering memories HPC-independent. The process responsible for this transformation i...
Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest.
IEEE journal of biomedical and health informatics
Dec 23, 2019
Delineation of mitochondria from electron microscopy (EM) images is crucial to investigate its morphology and distribution, which are directly linked to neural dysfunction. However, it is a challenging task due to the varied appearances, sizes and sh...
A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
NeuroImage
Dec 16, 2019
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cognitive impairment (MCI) is a clinical precursor of AD. Although some treatments can delay its progression, no effective cures are available for AD. Accura...
Structured sequence processing and combinatorial binding: neurobiologically and computationally informed hypotheses.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Dec 16, 2019
Understanding how the brain forms representations of structured information distributed in time is a challenging endeavour for the neuroscientific community, requiring computationally and neurobiologically informed approaches. The neural mechanisms f...
Automated detection of hippocampal sclerosis using clinically empirical and radiomics features.
Epilepsia
Nov 25, 2019
OBJECTIVE: Temporal lobe epilepsy is a common form of epilepsy that might be amenable to surgery. However, magnetic resonance imaging (MRI)-negative hippocampal sclerosis (HS) can hamper early diagnosis and surgical intervention for patients in clini...
Spatial coordinate transforms linking the allocentric hippocampal and egocentric parietal primate brain systems for memory, action in space, and navigation.
Hippocampus
Nov 7, 2019
A theory and model of spatial coordinate transforms in the dorsal visual system through the parietal cortex that enable an interface via posterior cingulate and related retrosplenial cortex to allocentric spatial representations in the primate hippoc...
A neural model of schemas and memory encoding.
Biological cybernetics
Nov 4, 2019
The ability to rapidly assimilate new information is essential for survival in a dynamic environment. This requires experiences to be encoded alongside the contextual schemas in which they occur. Tse et al. (Science 316(5821):76-82, 2007) showed that...
A complementary learning systems approach to temporal difference learning.
Neural networks : the official journal of the International Neural Network Society
Oct 26, 2019
Complementary Learning Systems (CLS) theory suggests that the brain uses a 'neocortical' and a 'hippocampal' learning system to achieve complex behaviour. These two systems are complementary in that the 'neocortical' system relies on slow learning of...
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