11 papers · ranked by Valyu relevance
Ari S. Benjamin, Ling-Qi Zhang, Cheng Qiu, Alan Stocker + 1 more
Animal sensory systems are more sensitive to common features in the environment than uncommon features. For example, small deviations from the more frequently encountered horizontal orientations can be more easily detected than small deviations from the less frequent diagonal ones. Here we find that artificial neural…
Qiqi Zheng, Yongfeng Li, Jieqiu Zhang, Hua Ma + 7 more
'Yongqiang Pang' 'Yajuan Han' 'Sai Sui' 'Yang Shen' 'Hongya Chen' 'Shaobo Qu'] A new concept of the coding phase gradient metasurface (CPGM) is proposed, which is constructed using the phase gradient metasurface as the coding elements. Different from the previous coding metasurface (CM), both the coding sequences and…
Julio A. Peraza, Taylor Salo, Michael C. Riedel, Katherine L. Bottenhorn + 14 more
Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end, and transmodal regions associated with the…
Bingjun Guo, Yazhi Liu, Chunyang Zhang, Francesco Marcelloni
Running Deep Neural Networks (DNNs) in distributed Internet of Things (IoT) nodes is a promising scheme to enhance the performance of IoT systems. However, due to the limited computing and communication resources of the IoT nodes, the communication efficiency of the distributed DNN training strategy is a problem…
Reinder Vos de Wael, Oualid Benkarim, Casey Paquola, Sara Lariviere + 10 more
Understanding how higher order cognitive function emerges from the underlying brain structure depends on quantifying how the behaviour of discrete regions are integrated within the broader cortical landscape. Recent work has established that this macroscale brain organization and function can be quantified in a compact…
Xing Xu, Jieying Zhang, Qi Zhu, Tiansheng Xia
Gradient colors are widely used in product design. The variation of gradient colors muting a color as a series of steps from bright to dull creates a soft and gradual impression while also affecting people's perceptions. This study manipulates the types of gradient colors to explore the relationship between color…
MOHAMED HASSAN, ALEKSANDAR VAKANSKI, BOYU ZHANG, MIN XIAN
The generalization performance of deep neural networks (DNNs) is a critical factor in achieving robust model behavior on unseen data. Recent studies have highlighted the importance of sharpness-based measures in promoting generalization by encouraging convergence to flatter minima. Among these approaches…
Sorinel A. Oprisan, Ana Oprisan, Xiangjie Kong
This study presents a novel analytical framework for understanding the relationship between the image gradients and the symmetries of the Gray Level Co-occurrence Matrix (GLCM). Analytical expression for four key features-sum average (SA), sum variance (SV), difference variance (DV), and entropy-were derived to capture…
Leonard Schmiester, Daniel Weindl, Jan Hasenauer
Unknown parameters of dynamical models are commonly estimated from experimental data. However, while various efficient optimization and uncertainty analysis methods have been proposed for quantitative data, methods for qualitative data are rare and suffer from bad scaling and convergence. Here, we propose an efficient…
Il Memming Park, Jonathan W. Pillow
The efficient coding hypothesis, which proposes that neurons are optimized to maximize information about the environment, has provided a guiding theoretical framework for sensory and systems neuroscience. More recently, a theory known as the Bayesian Brain hypothesis has focused on the brain’s ability to integrate…
Tenzin Chan, De Wen Soh, Christopher Hillar, Kichun Lee + 1 more
'Boris Ryabko'] Oftentimes in a complex system it is observed that as a control parameter is varied, there are certain intervals during which the system undergoes dramatic change. In biology especially, these signatures of criticality are thought to be connected with efficient computation and information processing.…