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Related papers: Computational imaging with the human brain

200 papers

Gaze reflects how humans process visual scenes and is therefore increasingly used in computer vision systems. Previous works demonstrated the potential of gaze for object-centric tasks, such as object localization and recognition, but it…

Computer Vision and Pattern Recognition · Computer Science 2016-08-19 Yusuke Sugano , Andreas Bulling

The representation of images in the brain is known to be sparse. That is, as neural activity is recorded in a visual area ---for instance the primary visual cortex of primates--- only a few neurons are active at a given time with respect to…

Computer Vision and Pattern Recognition · Computer Science 2017-01-25 Laurent Perrinet

Brain-Computer Interfaces (BCI) help patients with faltering communication abilities due to neurodegenerative diseases produce text or speech output by direct neural processing. However, practical implementation of such a system has proven…

Human-Computer Interaction · Computer Science 2019-07-10 Janaki Sheth , Ariel Tankus , Michelle Tran , Nader Pouratian , Itzhak Fried , William Speier

Ghost-imaging experiments correlate the outputs from two photodetectors: a high spatial-resolution (scanning pinhole or CCD camera) detector that measures a field which has not interacted with the object to be imaged, and a bucket…

Quantum Physics · Physics 2009-11-13 Jeffrey H Shapiro

This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain…

Robotics · Computer Science 2019-04-08 Gloria Beraldo , Morris Antonello , Andrea Cimolato , Emanuele Menegatti , Luca Tonin

Color intensity projections (CIP) have been shown to improve the visualisation of greyscale angiography images by combining greyscale images into a single color image. A key property of the combined CIP image is the encoding of the arrival…

Graphics · Computer Science 2017-02-02 Keith S. Cover

We introduce a novel auditory brain-computer interface (BCI) paradigm, Auditory Intention Decoding (AID), designed to enhance communication capabilities within the brain-AI interface (BAI) system EEGChat. AID enables users to select among…

Human-Computer Interaction · Computer Science 2025-04-22 Michal Robert Žák , Moritz Grosse-Wentrup

The field of computational modeling of the brain is advancing so rapidly that now it is possible to model large scale networks representing different brain regions with a high level of biological detail in terms of numbers and synapses. For…

Brain computer interface (BCI) is the only way for some special patients to communicate with the outside world and provide a direct control channel between brain and the external devices. As a non-invasive interface, the scalp…

Quantitative Methods · Quantitative Biology 2018-08-15 Chuanqi Tan , Fuchun Sun , Wenchang Zhang , Shaobo Liu , Chunfang Liu

Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation…

A brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device or computer system. It allows individuals to interact with the device using only their thoughts, and holds immense…

Human-Computer Interaction · Computer Science 2023-05-23 Xin Zhou , Botao Hao , Jian Kang , Tor Lattimore , Lexin Li

As autonomous service robots become more affordable and thus available also for the general public, there is a growing need for user friendly interfaces to control the robotic system. Currently available control modalities typically expect…

Myoelectric interfaces enable intuitive and natural control by decoding residual muscle activity, providing an effective pathway for motor restoration in individuals with preserved musculature. However, in patients with severe muscular…

Neurons and Cognition · Quantitative Biology 2025-11-26 Sun Ye , Zuo Cuiming , Zhang Rui , Shi Bin , Pang Yajing , Gao Lingyun , Zhao Bowei , Wang Jing , Yao Dezhong , Liu Gang

Brain-computer interfaces (BCIs) read neural signals directly from the brain to infer motor planning and execution. However, the implementation of this technology has been largely limited to laboratory settings, with few real-world…

Current theories of perception suggest that the brain represents features of the world as probability distributions, but can such uncertain foundations provide the basis for everyday vision? Perceiving objects and scenes requires knowing…

Neurons and Cognition · Quantitative Biology 2022-11-30 Andrey Chetverikov , Árni Kristjánsson

The integration of brain-computer interfaces (BCIs) into the realm of smart wheelchair (SW) technology signifies a notable leap forward in enhancing the mobility and autonomy of individuals with physical disabilities. BCIs are a technology…

Human-Computer Interaction · Computer Science 2024-04-30 Shiva Ghasemi , Denis Gracanin , Mohammad Azab

Ghost imaging is a developing imaging technique that employs random masks to image a sample. Ghost projection utilizes ghost-imaging concepts to perform the complementary procedure of projection of a desired image. The key idea underpinning…

Image and Video Processing · Electrical Eng. & Systems 2023-07-31 David Ceddia , David M. Paganin

Brain-computer interfaces (BCIs) promise to extend human movement capabilities by enabling direct neural control of supernumerary effectors, yet integrating augmented commands with multiple degrees of freedom without disrupting natural…

Brain-computer interface (BCI) builds a bridge between human brain and external devices by recording brain signals and translating them into commands for devices to perform the user's imagined action. The core of the BCI system is the…

Methodology · Statistics 2025-07-08 Jingyi Zheng , Huajun Huang , Yuyan Yi , Yuexin Li , Shu-Chin Lin

Traditional brain-computer interfaces (BCIs), reliant on costly electroencephalography or invasive implants, struggle with complex human-computer interactions due to setup complexity and limited precision. We present NeuGaze, a novel…

Human-Computer Interaction · Computer Science 2025-04-22 Yiqian Yang