Zobrazeno 1 - 10
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pro vyhledávání: '"Tripp, Bryan"'
Autor:
Shaghaghi, Sahand, Aliasghari, Pourya, Tripp, Bryan, Dautenhahn, Kerstin, Nehaniv, Chrystopher
This abstract explores classroom Human-Robot Interaction (HRI) scenarios with an emphasis on the adaptation of human-inspired social gaze models in robot cognitive architecture to facilitate a more seamless social interaction. First, we detail the HR
Externí odkaz:
http://arxiv.org/abs/2312.06825
Spiking Neural Networks (SNNs) are an emerging domain of biologically inspired neural networks that have shown promise for low-power AI. A number of methods exist for building deep SNNs, with Artificial Neural Network (ANN)-to-SNN conversion being hi
Externí odkaz:
http://arxiv.org/abs/2205.07076
In neuroscience, a tuning dimension is a stimulus attribute that accounts for much of the activation variance of a group of neurons. These are commonly used to decipher the responses of such groups. While researchers have attempted to manually identi
Externí odkaz:
http://arxiv.org/abs/2011.03043
The vast majority of visual animals actively control their eyes, heads, and/or bodies to direct their gaze toward different parts of their environment. In contrast, recent applications of reinforcement learning in robotic manipulation employ cameras
Externí odkaz:
http://arxiv.org/abs/2003.06734
Modern approaches to grasp planning often involve deep learning. However, there are only a few large datasets of labelled grasping examples on physical robots, and available datasets involve relatively simple planar grasps with two-fingered grippers.
Externí odkaz:
http://arxiv.org/abs/1812.11683
Neurons in the visual cortex are correlated in their variability. The presence of correlation impacts cortical processing because noise cannot be averaged out over many neurons. In an effort to understand the functional purpose of correlated variabil
Externí odkaz:
http://arxiv.org/abs/1804.00815
Autor:
Tripp, Bryan
Deep convolutional neural networks (CNNs) trained for object classification have a number of striking similarities with the primate ventral visual stream. In particular, activity in early, intermediate, and late layers is closely related to activity
Externí odkaz:
http://arxiv.org/abs/1612.06975
Deep convolutional neural networks (CNNs) have structures that are loosely related to that of the primate visual cortex. Surprisingly, when these networks are trained for object classification, the activity of their early, intermediate, and later lay
Externí odkaz:
http://arxiv.org/abs/1610.04962
Autor:
Tripp, Bryan
The basal ganglia are a group of subcortical nuclei that contain about 100 million neurons in humans. Different modes of basal ganglia dysfunction lead to Parkinson's disease and Huntington's disease, which have debilitating motor and cognitive sympt
Externí odkaz:
http://hdl.handle.net/10012/4179
Autor:
Tripp, Bryan M.
Thesis (M.A. Sc.)--University of Toronto, 2008.
Source: Masters Abstracts International, Volume: 46-06, page: 3394.
Source: Masters Abstracts International, Volume: 46-06, page: 3394.