228 citations
- Center for Art StudiesKR5 papers
- McGovern Institute for Brain ResearchUS4 papers
- Massachusetts Institute of TechnologyUS3 papers
- University of California, BerkeleyUS3 papers
- Intelligent Machines (Sweden)SE2 papers
- Johns Hopkins UniversityUS2 papers
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Boston CollegeUS1 paper
- Brain (Germany)DE1 paper
- Brigham and Women's HospitalUS1 paper
- Budapest University of Technology and EconomicsHU1 paper
- Center for Pain and the BrainUS1 paper
13 papers
How does the primate brain combine generative and discriminative computations in vision?
Benjamin Peters, James J. DiCarlo, Todd Gureckis +10
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as we…
Beyond linear regression: mapping models in cognitive neuroscience should align with research goals
Anna A. Ivanova, Martin Schrimpf, Stefano Anzellotti +3
Many cognitive neuroscience studies use large feature sets to predict and interpret brain activity patterns. Feature sets take many forms, from human stimulus annotations to repres…
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
Young-Eun Lee, Seong-Whan Lee
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography (EEG) signals are distorted by m…
Evaluating Models of Robust Word Recognition with Serial Reproduction
Stephan C. Meylan, Sathvik Nair, Thomas L. Griffiths
Spoken communication occurs in a "noisy channel" characterized by high levels of environmental noise, variability within and between speakers, and lexical and syntactic ambiguity.…
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms
Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong +1
Non-invasive brain-computer interface (BCI) has been developed for understanding users' intentions by using electroencephalogram (EEG) signals. With the recent development of artif…
Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics
Seo-Hyun Lee, Minji Lee, Seong-Whan Lee
Recent advances in brain-computer interface technology have shown the potential of imagined speech and visual imagery as a robust paradigm for intuitive brain-computer interface co…