Hippocampus
50 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Hippocampus
Latest papers
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation
Our encoder uses capsule blocks and EfficientViT blocks to jointly capture local and global semantic information more effectively and efficiently with less information loss, while the decoder employs CNN blocks and EfficientViT blocks to catch ffner details for segmentation.
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept
The current state-of-the art techniques for image segmentation are often based on U-Net architectures, a U-shaped encoder-decoder networks with skip connections.
Geodesic Regression Characterizes 3D Shape Changes in the Female Brain During Menstruation
We seek to investigate this connection by developing tools that quantify 3D shape changes that occur in the brain during sex hormone fluctuations.
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
Medical image segmentation relies heavily on large-scale deep learning models, such as UNet-based architectures.
Memory Encoding Model
Our ensemble model without memory input (61. 4) can also stand a 3rd place.
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
For most real-world applications, robots need to adapt and learn continually with limited data in their environments.
External Reasoning: Towards Multi-Large-Language-Models Interchangeable Assistance with Human Feedback
Memory is identified as a crucial human faculty that allows for the retention of visual and linguistic information within the hippocampus and neurons in the brain, which can subsequently be retrieved to address real-world challenges that arise through a lifetime of learning.
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
Deep reinforcement learning algorithms are usually impeded by sampling inefficiency, heavily depending on multiple interactions with the environment to acquire accurate decision-making capabilities.
Bio-inspired spike-based Hippocampus and Posterior Parietal Cortex models for robot navigation and environment pseudo-mapping
The brain has a great capacity for computation and efficient resolution of complex problems, far surpassing modern computers.
Theta sequences as eligibility traces: a biological solution to credit assignment
Credit assignment problems, for example policy evaluation in RL, often require bootstrapping prediction errors through preceding states \textit{or} maintaining temporally extended memory traces; solutions which are unfavourable or implausible for biological networks of neurons.