Zobrazeno 1 - 10
of 42 312
pro vyhledávání: '"neural dynamics"'
Understanding the neural basis of behavior is a fundamental goal in neuroscience. Current research in large-scale neuro-behavioral data analysis often relies on decoding models, which quantify behavioral information in neural data but lack details on
Externí odkaz:
http://arxiv.org/abs/2410.09614
Autor:
Wang, Shishe, Huang, Haiping
High dimensional dynamics play a vital role in brain function, ecological systems, and neuro-inspired machine learning. Where and how these dynamics are confined in the phase space remains challenging to solve. Here, we provide an analytic argument t
Externí odkaz:
http://arxiv.org/abs/2410.19348
Videos of robots interacting with objects encode rich information about the objects' dynamics. However, existing video prediction approaches typically do not explicitly account for the 3D information from videos, such as robot actions and objects' 3D
Externí odkaz:
http://arxiv.org/abs/2410.18912
Reservoir computing - information processing based on untrained recurrent neural networks with random connections - is expected to depend on the nonlinear properties of the neurons and the resulting oscillatory, chaotic, or fixpoint dynamics of the n
Externí odkaz:
http://arxiv.org/abs/2411.10047
We introduce Temporal Attention-enhanced Variational Graph Recurrent Neural Network (TAVRNN), a novel framework for analyzing the evolving dynamics of neuronal connectivity networks in response to external stimuli and behavioral feedback. TAVRNN capt
Externí odkaz:
http://arxiv.org/abs/2410.00665
Uncovering the fundamental neural correlates of biological intelligence, developing mathematical models, and conducting computational simulations are critical for advancing new paradigms in artificial intelligence (AI). In this study, we implemented
Externí odkaz:
http://arxiv.org/abs/2409.02390
Autor:
Vedovati, Giacomo, Ching, ShiNung
Understanding how brain networks learn and manage multiple tasks simultaneously is of interest in both neuroscience and artificial intelligence. In this regard, a recent research thread in theoretical neuroscience has focused on how recurrent neural
Externí odkaz:
http://arxiv.org/abs/2408.01316
Autor:
Su, Tao, Zheng, Shiqi
This article focuses on the trajectory tracking problem of mobile manipulators (MMs). Firstly, we construct a position and orientation model predictive tracking control (POMPTC) scheme for mobile manipulators. The proposed POMPTC scheme can simultane
Externí odkaz:
http://arxiv.org/abs/2407.08234
Predictive models are a crucial component of many robotic systems. Yet, constructing accurate predictive models for a variety of deformable objects, especially those with unknown physical properties, remains a significant challenge. This paper introd
Externí odkaz:
http://arxiv.org/abs/2407.07889