In this paper, we propose a novel method of decoding brain activity evoked by visual stimuli. To achieve this goal, we first introduce a combined long short- ...
People also ask
Which AI technique involves mimicking the way the human brain works?
Is deep learning based on human brain?
What would I use to look at brain activation in deep brain structures?
Can the human brain be understood?
Apr 11, 2019 · Advances in the deep learning have opened new directions to decode and visualize the information present in the human brain. In the past few ...
In this paper, we reviewed the brain activity decoding models based on machine learning and deep learning algorithms.
Recent research has proved that human brain activity can be decoded from neurological data. Meanwhile, deep learning has become an effective way to solve ...
Aug 9, 2021 · Abstract. This literature review will discuss the use of deep learning methods for image recon- struction using fMRI data.
In this study, we proposed a general deep learning framework for decoding and mapping ongoing brain task states from whole‐brain fMRI signals of humans. After ...
Feb 12, 2019 · Our recent study found that human brain activity patterns measured by functional magnetic resonance imaging (fMRI) can be decoded (translated) into DNN feature ...
Oct 18, 2023 · Using magnetoencephalography (MEG), Meta showcases an AI system capable of decoding the unfolding of visual representations in the brain ...
Decoding of cognitive states aims to identify individuals' brain states and brain fingerprints to predict behavior. Deep learning provides an important ...
May 19, 2023 · In this study, we present an innovative method for decoding brain activity into meaningful images and captions, with a specific focus on brain captioning.
Missing: deep | Show results with:deep