AIMC Topic: Hippocampus

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Hippocampal formation-inspired probabilistic generative model.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2022
In building artificial intelligence (AI) agents, referring to how brains function in real environments can accelerate development by reducing the design space. In this study, we propose a probabilistic generative model (PGM) for navigation in uncerta...
Hippocampus Entorhinal Cortex Brain Artificial Intelligence Robotics
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The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects.

Human brain mapping Apr 4, 2022
Research on segmentation of the hippocampus in magnetic resonance images through deep learning convolutional neural networks (CNNs) shows promising results, suggesting that these methods can identify small structural abnormalities of the hippocampus,...
Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Alzheimer Disease Hippocampus Cognitive Dysfunction Image Processing, Computer-Assisted
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Toward the biological model of the hippocampus as the successor representation agent.

Bio Systems Jan 29, 2022
The hippocampus is an essential brain region for spatial memory and learning. Recently, a theoretical model of the hippocampus based on temporal difference (TD) learning has been published. Inspired by the successor representation (SR) learning algor...
Brain Models, Biological Reward Artificial Intelligence Hippocampus
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Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration.

IEEE transactions on cybernetics Jan 11, 2022
How to transform a mixed flow of sensory and motor information into memory state of self-location and to build map representations of the environment are central questions in the navigation research. Studies in neuroscience have shown that place cell...
Cognition Hippocampus Computer Simulation Learning Neural Networks, Computer
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Deep learning and radiomics based automatic diagnosis of hippocampal sclerosis.

The International journal of neuroscience Dec 28, 2021
Accurate and rapid segmentation of the hippocampus can help doctors perform intractable temporal lobe epilepsy (TLE) preoperative evaluations to identify good surgical candidates. This study aims to establish a radiomics system for the automatic diag...
Hippocampus Epilepsy, Temporal Lobe Deep Learning Magnetic Resonance Imaging Hippocampal Sclerosis Humans
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Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study.

Epilepsy research Nov 21, 2021
PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evaluation of MRIs-to identify mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) are deficient, as they cannot be easily asse...
Epilepsy, Temporal Lobe Atrophy Sclerosis Deep Learning Magnetic Resonance Imaging Hippocampus Humans
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Identification of Alzheimer associated differentially expressed gene through microarray data and transfer learning-based image analysis.

Neuroscience letters Nov 19, 2021
Major factors contribute to mental stress and enhance the progression of late-onset Alzheimer's disease (AD). The factors that lead to neurodegeneration, such as tau protein hyperphosphorylation and increased amyloid-beta production, can be mimicked ...
Rats Alzheimer Disease Microarray Analysis Hippocampus Transcriptome Image Processing, Computer-Assisted Animals Gene Expression Profiling Humans Neural Networks, Computer
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MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy.

Neurology Sep 2, 2021
BACKGROUND AND OBJECTIVES: MRI fails to reveal hippocampal pathology in 30% to 50% of temporal lobe epilepsy (TLE) surgical candidates. To address this clinical challenge, we developed an automated MRI-based classifier that lateralizes the side of co...
Image Interpretation, Computer-Assisted Hippocampus Epilepsy, Temporal Lobe Functional Laterality Neuroimaging Adolescent Magnetic Resonance Imaging Male Middle Aged Female Sclerosis Young Adult Humans Adult Machine Learning
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Learning offline: memory replay in biological and artificial reinforcement learning.

Trends in neurosciences Sep 1, 2021
Learning to act in an environment to maximise rewards is among the brain's key functions. This process has often been conceptualised within the framework of reinforcement learning, which has also gained prominence in machine learning and artificial i...
Hippocampus Reinforcement, Psychology Humans Machine Learning Artificial Intelligence Reward
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The Flow of Axonal Information Among Hippocampal Subregions: 1. Feed-Forward and Feedback Network Spatial Dynamics Underpinning Emergent Information Processing.

Frontiers in neural circuits Aug 27, 2021
The tri-synaptic pathway in the mammalian hippocampus enables cognitive learning and memory. Despite decades of reports on anatomy and physiology, the functional architecture of the hippocampal network remains poorly understood in terms of the dynami...
Cognition Axons Hippocampus Artificial Intelligence Animals Feedback Rats
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