Brain Decoding Research

About the Project

This project aims to decode brain signals to understand brain mapping processes and potentially unlock new communication methods.

Research Supplementary File Highlights

High-Quality Reconstruction of fMRI Visual Stimuli Using Optimized Autoencoder Architecture

• Code Repository
• Code Manual Page
• Supplementary Files Repository
• Supplementary Files Manual Page

Publications

• "A literature review of brain decoding research"

  R M Awangga, T L R Mengko and N P Utama

  IOP Conference Series: Materials Science and Engineering, Volume 830, Issue 3

  Read the paper

  Cite as: R M Awangga et al 2020 IOP Conf. Ser.: Mater. Sci. Eng. 830 032049.

  Show BibTeX

                      @article{Awangga_2020,
                          doi = {10.1088/1757-899X/830/3/032049},
                          url = {https://dx.doi.org/10.1088/1757-899X/830/3/032049},
                          year = {2020},
                          month = {apr},
                          publisher = {IOP Publishing},
                          volume = {830},
                          number = {3},
                          pages = {032049},
                          author = {R M Awangga and T L R Mengko and N P Utama},
                          title = {A literature review of brain decoding research},
                          journal = {IOP Conference Series: Materials Science and Engineering},
                          abstract = {Brain Decoding is a popular topic in neuroscience. The purpose is how to reconstruct an object that came from a sensory system using brain activity data. There is three brain area generally use in brain decoding research. The somatosensory area generally using mice and touch they whisker. Auditory area using different sound frequency as stimuli. The visual area using shape, random image, and video. Take one example in the visual cortex. Using the retinotopic mapping concept, the object possible to reconstruct using visual cortex activity recorded by fMRI. Retinotopic mapping focus is to relate fMRI records into visual objects seen by the subject. This brain possibilities of decoding research come to the next level when combining using deep learning. The image seen by the subject can be reconstructed by using visual cortex activity. Make reconstruction come faster and realistic to predict the stimuli. This opportunity is opening the era of the brain-computer interface. Combine a method to analyze brain functionality related to the human sensory. Bring hope and increased human quality of life. This paper reviews research in the field of brain encoding. Divide into three sections, the first section is brain decoding research in somatosensory. The second section is brain decoding in the auditory cortex. For the last section, explain visual cortex reconstruction. Every section includes equipment devices to record brain activity and the source of datasets and methods to get the brain activity data.}
                          }
                  

Braindecoding Team

• Rolly Maulana Awangga

Interested in our research or looking to collaborate? Get in touch!