PLoS biology
Dec 9, 2021
Deep neural networks (DNNs) for object classification have been argued to provide the most promising model of the visual system, accompanied by claims that they have attained or even surpassed human-level performance. Here, we evaluated whether DNNs ...
Computational intelligence and neuroscience
Dec 9, 2021
This paper provides an in-depth study and analysis of robot vision features for predictive control and a global calibration of their feature completeness. The acquisition and use of the complete macrofeature set are studied in the context of a robot ...
Sensors (Basel, Switzerland)
Oct 27, 2021
3D visual recognition is a prerequisite for most autonomous robotic systems operating in the real world. It empowers robots to perform a variety of tasks, such as tracking, understanding the environment, and human-robot interaction. Autonomous robots...
ACS nano
Oct 11, 2021
Wrinkled surfaces and materials are found throughout the natural world in various plants and animals and are known to improve the performance of emerging optical and electrical technologies. Despite much progress, the reversible post-fabrication tuni...
Vision research
Oct 8, 2021
Here we examine the plausibility of deep convolutional neural networks (CNNs) as a theoretical framework for understanding biological vision in the context of image classification. Recent work on object recognition in human vision has shown that both...
Neural networks : the official journal of the International Neural Network Society
Oct 5, 2021
Spiking Neural Networks (SNNs) have recently emerged as a new generation of low-power deep neural networks due to sparse, asynchronous, and binary event-driven processing. Most previous deep SNN optimization methods focus on static datasets (e.g., MN...
Sensors (Basel, Switzerland)
Aug 25, 2021
Today, computer vision algorithms are very important for different fields and applications, such as closed-circuit television security, health status monitoring, and recognizing a specific person or object and robotics. Regarding this topic, the pres...
STAR protocols
Aug 12, 2021
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learn...
Sensors (Basel, Switzerland)
Jun 13, 2021
The high accuracy and dynamic performance of parallel robots (PRs) make them suitable to ensure safe operation in human-robot interaction. However, these advantages come at the expense of a reduced workspace and the possible appearance of type II sin...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 9, 2021
In this paper, we quest the capability of transferring the quality of natural scene images to the images that are not acquired by optical cameras (e.g., screen content images, SCIs), rooted in the widely accepted view that the human visual system has...