Deep Natural Image Reconstruction from Human Brain Activity Based on Conditional Progressively Growing Generative Adversarial Networks.

Neuroscience Bulletin
Wei HuangHuafu Chen

Abstract

Brain decoding based on functional magnetic resonance imaging has recently enabled the identification of visual perception and mental states. However, due to the limitations of sample size and the lack of an effective reconstruction model, accurate reconstruction of natural images is still a major challenge. The current, rapid development of deep learning models provides the possibility of overcoming these obstacles. Here, we propose a deep learning-based framework that includes a latent feature extractor, a latent feature decoder, and a natural image generator, to achieve the accurate reconstruction of natural images from brain activity. The latent feature extractor is used to extract the latent features of natural images. The latent feature decoder predicts the latent features of natural images based on the response signals from the higher visual cortex. The natural image generator is applied to generate reconstructed images from the predicted latent features of natural images and the response signals from the visual cortex. Quantitative and qualitative evaluations were conducted with test images. The results showed that the reconstructed image achieved comparable, accurate reproduction of the presented image in both high-lev...Continue Reading

References

Aug 9, 2003·IEEE Transactions on Medical Imaging·Josien P W PluimMax A Viergever
Sep 21, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhou WangEero P Simoncelli
Apr 27, 2005·Nature Neuroscience·John-Dylan Haynes, Geraint Rees
Apr 27, 2005·Nature Neuroscience·Yukiyasu Kamitani, Frank Tong
May 31, 2008·Science·Tom M MitchellMarcel Adam Just
Sep 26, 2009·Neuron·Thomas NaselarisJack L Gallant
Sep 29, 2011·Current Biology : CB·Shinji NishimotoJack L Gallant
Apr 6, 2013·Science·T HorikawaY Kamitani
Oct 31, 2015·Current Opinion in Behavioral Sciences·Bradley R Postle
Oct 27, 2016·Frontiers in Systems Neuroscience·Alexander G HuthJack L Gallant
May 23, 2017·Nature Communications·Tomoyasu Horikawa, Yukiyasu Kamitani
Dec 19, 2018·IEEE Transactions on Neural Networks and Learning Systems·Changde DuHuiguang He
Jan 15, 2019·PLoS Computational Biology·Guohua ShenYukiyasu Kamitani
May 28, 2019·Communications Biology·Rufin VanRullen, Leila Reddy
Jan 12, 2020·Communications Biology·Rufin VanRullen, Leila Reddy
Apr 15, 2020·Annals of Biomedical Engineering·Wei HuangHuafu Chen
Sep 10, 2020·Journal of Neural Engineering·Chong WangHuafu Chen

❮ Previous
Next ❯

Citations

Sep 4, 2021·Neural Networks : the Official Journal of the International Neural Network Society·Wei HuangHuafu Chen

❮ Previous
Next ❯

Methods Mentioned

BETA
feature extraction

Software Mentioned

GP
GAN
SamSrf
Adam
WGAN

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.