Dynamical Constraints on Neural Population Activity

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
neural dynamics   brain networks   computational mechanisms   time evolution   motor control   sensory perception   decision making  

Temporal Dynamics Constraints on Neural Population Activity: Computational Mechanisms of Neural Activity Revealed by Brain-Computer Interfaces Academic Background How neural activity in the brain evolves over time is a central issue in understanding sensory, motor, and cognitive functions. For a long time, network models have posited that the brain...

Neural Mechanisms of Relational Learning and Fast Knowledge Reassembly in Plastic Neural Networks

Information Science, Computer Science, Artificial Intelligence, Medicine, Life Sciences,
relational learning   neural mechanisms   knowledge reassembly   plastic neural networks   transitive inference  

Neural Mechanisms and Relational Learning: Rapid Knowledge Reassembly in Neural Networks Background Humans and animals possess a remarkable ability to learn relationships between items in experience (such as stimuli, objects, and events), enabling structured generalization and rapid information assimilation. A fundamental type of such relational le...

Learning with Enriched Inductive Biases for Vision-Language Models

Information Science, Computer Science, Artificial Intelligence,
Vision Language Models   Inductive Biases   Few-shot Adaptation   Transformer  

Learning with Enriched Inductive Biases for Vision-Language Models Research Background and Problem Statement In recent years, Vision-Language Models (VLMs) have made significant progress in the fields of computer vision and natural language processing. These models are pre-trained on large-scale image-text pairs to construct a unified multimodal re...

Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation

Information Science, Computer Science, Artificial Intelligence,
mammal pose estimation   keypoint interactive transformer   adaptive weight strategy   human pose estimation  

Advances in General Mammal Pose Estimation Research Research Background and Problem Statement In the field of computer vision, pose estimation is a fundamental and crucial task aimed at locating key points of target objects in images. In recent years, human pose estimation has made significant progress, but research on animal pose estimation remain...

Seaformer++: Squeeze-Enhanced Axial Transformer for Mobile Visual Recognition

Information Science, Computer Science, Artificial Intelligence,
transformer   semantic segmentation   knowledge distillation   mobile devices   visual recognition  

SEAFormer++ - An Efficient Transformer Architecture Designed for Mobile Visual Recognition Research Background and Problem Statement In recent years, the field of computer vision has undergone a significant shift from Convolutional Neural Networks (CNNs) to Transformer-based methods. However, despite Vision Transformers demonstrating excellent glob...

Smaller but Better: Unifying Layout Generation with Smaller Large Language Models

Information Science, Computer Science, Artificial Intelligence,
Large Language Model   Generative Modeling   Unified Layout Generation   Layout Design   Model Optimization  

New Breakthrough in Unified Layout Generation Research: Smaller but Stronger Large Language Models Research Background and Problem Statement Layout generation is an important research direction in the fields of computer vision and human-computer interaction, aiming to automatically generate graphic interfaces or layout designs that meet specific re...