Papers Hippocampus
“Hippocampus” 태그가 달린 논문 300편 · 필터 해제
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
Effective representation of Regions of Interest (ROI) and independent alignment of these ROIs can significantly enhance the performance of deformable medical image registration (DMIR). However, current learning-based DMI…
Deformable Medical Image RegistrationHippocampusImage RegistrationMedical Image RegistrationThe Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning
The hippocampus encodes space through a striking gradient of place field sizes along its dorsal-ventral axis, yet the principles generating this continuous gradient from discrete grid cell inputs remain debated. We propo…
Few-Shot LearningHippocampusInductive BiasPlace Cells as Proximity-Preserving Embeddings: From Multi-Scale Random Walk to Straight-Forward Path Planning
The hippocampus enables spatial navigation through place cell populations forming cognitive maps. We propose proximity-preserving neural embeddings to encode multi-scale random walk transitions, where the inner product $…
Computational EfficiencyHippocampusPositionROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation
The hippocampus, a critical brain structure involved in memory processing and various neurodegenerative and psychiatric disorders, comprises three key subregions: the dentate gyrus (DG), Cornu Ammonis 1 (CA1), and Cornu …
Generative Adversarial NetworkHippocampusSegmentationAdvancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence
Our study presents PNN-UNet as a method for constructing deep neural networks that replicate the planarian neural network (PNN) structure in the context of 3D medical image data. Planarians typically have a cerebral stru…
Data AugmentationHippocampusImage SegmentationMedical Image Segmentation+1Towards a Vision-Language Episodic Memory Framework: Large-scale Pretrained Model-Augmented Hippocampal Attractor Dynamics
Modeling episodic memory (EM) remains a significant challenge in both neuroscience and AI, with existing models either lacking interpretability or struggling with practical applications. This paper proposes the Vision-La…
HippocampusNearly isotropic segmentation for medial temporal lobe subregions in multi-modality MRI
Morphometry of medial temporal lobe (MTL) subregions in brain MRI is sensitive biomarker to Alzheimers Disease and other related conditions. While T2-weighted (T2w) MRI with high in-plane resolution is widely used to seg…
HippocampusSegmentationAdaptive Synaptogenesis Implemented on a Nanomagnetic Platform
The human brain functions very differently from artificial neural networks (ANN) and possesses unique features that are absent in ANN. An important one among them is "adaptive synaptogenesis" that modifies synaptic weigh…
Edge-computingHippocampusLifelong learningCombined impact of grey and superficial white matter abnormalities: implications for epilepsy surgery
Drug-resistant focal epilepsy is associated with abnormalities in the brain in both grey matter (GM) and superficial white matter (SWM). However, it is unknown if both types of abnormalities are important in supporting s…
HippocampusBrain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
Few-shot image classification has become a popular research topic for its wide application in real-world scenarios, however the problem of supervision collapse induced by single image-level annotation remains a major cha…
Few-Shot Image ClassificationHippocampusimage-classificationImage ClassificationFlexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization
Many tasks require flexibly modifying perception and behavior based on current goals. Humans can retrieve episodic memories from days to years ago, using them to contextualize and generalize behaviors across novel but st…
HippocampusRetrievalPredictive Modeling of Rat Brain Local Field Potentials using Single-Variable and Multivariable Approaches
Accurate prediction of neural dynamics in the brain's reward circuitry is crucial for elucidating how natural and pharmacological rewards influence neural activity and connectivity. Traditional linear models, such as aut…
HippocampusApplications of wavelet transform in classification of local field potential recorded from the rat brain in conditioned place preference paradigm
This study investigates the multi-label classification of Local Field Potential (LFP) data from the hippocampus (HIP) and nucleus accumbens (NAc) in the rat brain, focusing on reward responses using the Conditioned Place…
ClassificationHippocampusMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION$^{18}$F-FDG brain PET hypometabolism in post-SARS-CoV-2 infection: substrate for persistent/delayed disorders?
Purpose: Several brain complications of SARS-CoV-2 infection have been reported. It has been moreover speculated that this neurotropism could potentially cause a delayed outbreak of neuropsychiatric and neurodegenerative…
HippocampusConditional diffusion model with spatial attention and latent embedding for medical image segmentation
Diffusion models have been used extensively for high quality image and video generation tasks. In this paper, we propose a novel conditional diffusion model with spatial attention and latent embedding (cDAL) for medical …
HippocampusImage SegmentationMedical Image SegmentationSegmentation+2Spaces and sequences in the hippocampus: a homological perspective
Topological techniques have become a popular tool for studying information flows in neural networks. In particular, simplicial homology theory is used to analyze how cognitive representations of space emerge from large c…
HippocampusCogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation
Large language models based Multi Agent Systems (MAS) have demonstrated promising performance for enhancing the efficiency and accuracy of code generation tasks. However,most existing methods follow a conventional sequen…
Code GenerationHippocampusMRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework
Alzheimer's disease (AD) progresses through distinct stages, from early mild cognitive impairment (EMCI) to late mild cognitive impairment (LMCI) and eventually to AD. Accurate identification of these stages, especially …
Dimensionality Reductionfeature selectionHippocampusInvestigation of in vitro neuronal activity processing using a CMOS-integrated ZrO2-based memristive crossbar
The influence of the epileptiform neuronal activity on the response of a CMOS-integrated ZrO2-based memristive crossbar and its conductivity was studied. Epileptiform neuronal activity was obtained in vitro in the hippoc…
HippocampusA Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
Background: Enlargement of perivascular spaces (PVS) is common in neurodegenerative disorders including cerebral small vessel disease, Alzheimer's disease, and Parkinson's disease. PVS enlargement may indicate impaired c…
Hippocampus