A Novel Feedforward Youla Parameterization Method for Avoiding Local Minima in Stereo Image-Based Visual Servoing Control by Rongfei Li, Francis Assadian

Subjects: Get full text

Semi-active suspension preview control based on visual perception by ZHANG Qianman, WANG Zhifeng, XU Jie

Subjects: “…semi-active suspension|visual preview|fuzzy feedforward|active disturbance rejection control|matlab/simulink…”
Get full text

A feedforward mechanism for human-like contour integration. by Fenil R Doshi, Talia Konkle, George A Alvarez

“…Here, we demonstrate that feedforward convolutional neural networks (CNNs) fine-tuned on contour detection show this human-like capacity, but without relying on mechanisms proposed in prior work, such as lateral connections, recurrence, or top-down feedback. …”
Get full text

Representational shifts from feedforward to feedback rhythms index phenomenological integration in naturalistic vision by Lixiang Chen, Radoslaw Martin Cichy, Daniel Kaiser

“…Previous results demonstrate that when visual inputs are organized coherently across space and time, they are more strongly encoded in feedback-related alpha rhythms, and less strongly in feedforward-related gamma rhythms. …”
Get full text

Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. by Bastien Berret, Adrien Conessa, Nicolas Schweighofer, Etienne Burdet

“…Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and trial-by-trial variability of self-paced arm reaching movements carried out with or without online visual feedback of the hand. …”
Get full text

Rapid plasticity of visually evoked responses in rat monocular visual cortex. by Trevor C Griffen, Melissa S Haley, Alfredo Fontanini, Arianna Maffei

“…In the monocular region of rodent V1 (V1m), where feedforward inputs from the ipsilateral eye are virtually absent, visual deprivation induces rapid plasticity in local circuits; however, functional changes seem to occur only after long periods of deprivation. …”
Get full text

Research on Android malware detection method based on multimodal feature fusion by Ge Jike, He Mingkun, Chen Zuqin, Ling Jin, Zhang Yifan

“…Firstly, the permission information is encoded and the Dalvik bytecode data is visualized as a “vector” RGB image. Then, a feedforward neural network and a convolutional neural network are constructed to extract features from the data represented by text and image modalities, respectively. …”
Get full text

Aging-induced degradation in tracking performance in three-dimensional movement by Hyeonseok Kim, Shinsuke Tobisawa, Hyungwon Park, Jaehyo Kim, Jongho Lee, Duk Shin

“…The experiment included 14 young and 10 older subjects who were instructed to perform a circular tracking task on the fronto-parallel and sagittal planes with a visible target in the first half interval (called the feedback (FB) interval) and an invisible target disappearing and reappearing in the remaining interval (called the feedforward (FF) interval). The results demonstrated that the aging effect was sufficient to deteriorate tracking performance, regardless of the environment. …”
Get full text

Microsaccades during high speed continuous visual search by Jacob G. Martin, Charles E. Davis, Maximilian Riesenhuber, Simon J. Thorpe

“…Our findings show that a single feedforward pass through the visual hierarchy for each stimulus is likely all that is needed to effectuate prolonged continuous visual search.  …”
Get full text

The Visual Callosal Connection: A Connection Like Any Other? by Kerstin E. Schmidt

“…Both the gain of that action and its excitatory-inhibitory balance seem to be dynamically adapted to the feedforward drive by the visual stimulus onto primary visual cortex. …”
Get full text

Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder. by Haider Al-Tahan, Yalda Mohsenzadeh

“…While vision evokes a dense network of feedforward and feedback neural processes in the brain, visual processes are primarily modeled with feedforward hierarchical neural networks, leaving the computational role of feedback processes poorly understood. …”
Get full text

Modeling the role of gap junctions between excitatory neurons in the developing visual cortex. by Jennifer Crodelle, David W McLaughlin

“…In this work, we construct a simplified model of the developing mouse visual cortex including spike-timing-dependent plasticity of both the feedforward synaptic inputs and recurrent cortical synapses. …”
Get full text

Cortical direction selectivity increases from the input to the output layers of visual cortex. by Weifeng Dai, Tian Wang, Yang Li, Yi Yang, Yange Zhang, Yujie Wu, Tingting Zhou, Hongbo Yu, Liang Li, Yizheng Wang, Gang Wang, Dajun Xing

“…Sensitivity to motion direction is a feature of visual neurons that is essential for motion perception. …”
Get full text

Hierarchical and distinct biological motion processing in macaque visual cortical areas MT and MST by Tingting Feng, Yun Zhang, Wenhao Han, Xiaoling Luo, Yifei Han, Wenjie Wei, Hong Qu, Shenbing Kuang, Tao Zhang, Yi Zhang

Get full text

Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…Active vision enables dynamic and robust visual perception, offering an alternative to the static, passive nature of feedforward architectures commonly used in computer vision, which depend on large datasets and high computational resources. …”
Get full text

Visuomotor control of intermittent circular tracking movements with visually guided orbits in 3D VR environment. by Woong Choi, Naoki Yanagihara, Liang Li, Jaehyo Kim, Jongho Lee

“…Our results revealed that the feedforward (FF) control corresponding to velocity was delayed under the visible-orbit condition at speeds over 0.5 Hz, suggesting that, in carrying out imitation exercises and movements, the use of visually presented 3D guides can interfere with exercise learning and, therefore, that the effects of their use should be carefully considered.…”
Get full text

A Computational Model of Attention-Guided Visual Learning in a High-Performance Computing Software System by Alice Ahmed, Md. Tanim Hossain

“…This research investigates transformer architectures in high-performance computing (HPC) software systems for attention-guided visual learning (AGVL). The study focuses on the effects of environmental factors and non-contextual stimuli on cognitive control. …”
Get full text

Top-down and bottom-up interactions rely on nested brain oscillations to shape rhythmic visual attention sampling. by Jelena Trajkovic, Domenica Veniero, Simon Hanslmayr, Satu Palva, Gabriela Cruz, Vincenzo Romei, Gregor Thut

“…Adaptive visual processing is enabled through the dynamic interplay between top-down and bottom-up (feedback/feedforward) information exchange, presumably propagated through brain oscillations. …”
Get full text

Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition by Rakesh Sengupta

“…The model emphasizes the prioritization of object-related information before feature-related processing, effectively reversing the conventional feedforward order in visual perception. We conduct a detailed stability analysis to demonstrate non-divergence through energy function evaluations, highlighting the robustness of the network under varying input conditions. …”
Get full text

Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript by Trung Thi Hoa Trang Nguyen, Thanh Toan Dao, Thanh Binh Ngo, Vu Anh Phi

Get full text