Zobrazeno 1 - 10
of 322
pro vyhledávání: '"Xu Dehong"'
Publikováno v:
Channels, Vol 16, Iss 1, Pp 72-83 (2022)
JZTX-V is a toxin isolated from the venom of the Chinese spider Chilobrachys jingzhao. Previous studies had shown that JZTX-V could inhibit the transient outward potassium current of Kv4.2 and Kv4.3 expressed in Xenopus oocytes but had no effects on
Externí odkaz:
https://doaj.org/article/13c0d8c55e164aa7b49ad6cafb233db9
We present a minimalistic representation model for the head direction (HD) system, aiming to learn a high-dimensional representation of head direction that captures essential properties of HD cells. Our model is a representation of rotation group $U(
Externí odkaz:
http://arxiv.org/abs/2411.10596
Pre-trained large-scale language models (LLMs) excel at producing coherent articles, yet their outputs may be untruthful, toxic, or fail to align with user expectations. Current approaches focus on using reinforcement learning with human feedback (RL
Externí odkaz:
http://arxiv.org/abs/2406.02756
This paper investigates the conformal isometry hypothesis as a potential explanation for hexagonal periodic patterns in grid cell response maps. The hypothesis posits that grid cell activity forms a high-dimensional vector in neural space, encoding t
Externí odkaz:
http://arxiv.org/abs/2405.16865
From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures
Attention is a cornerstone of human cognition that facilitates the efficient extraction of information in everyday life. Recent developments in artificial intelligence like the Transformer architecture also incorporate the idea of attention in model
Externí odkaz:
http://arxiv.org/abs/2407.01548
Autor:
Kong, Deqian, Xu, Dehong, Zhao, Minglu, Pang, Bo, Xie, Jianwen, Lizarraga, Andrew, Huang, Yuhao, Xie, Sirui, Wu, Ying Nian
In tasks aiming for long-term returns, planning becomes essential. We study generative modeling for planning with datasets repurposed from offline reinforcement learning. Specifically, we identify temporal consistency in the absence of step-wise rewa
Externí odkaz:
http://arxiv.org/abs/2402.04647
Grid cells in the entorhinal cortex of mammalian brains exhibit striking hexagon grid firing patterns in their response maps as the animal (e.g., a rat) navigates in a 2D open environment. In this paper, we study the emergence of the hexagon grid pat
Externí odkaz:
http://arxiv.org/abs/2310.19192
The capability to generate responses with diversity and faithfulness using factual knowledge is paramount for creating a human-like, trustworthy dialogue system. Common strategies either adopt a two-step paradigm, which optimizes knowledge selection
Externí odkaz:
http://arxiv.org/abs/2306.01153
The activity of the grid cell population in the medial entorhinal cortex (MEC) of the mammalian brain forms a vector representation of the self-position of the animal. Recurrent neural networks have been proposed to explain the properties of the grid
Externí odkaz:
http://arxiv.org/abs/2210.02684